All Publications

Djurfeldt M., Johansson C., Ekeberg Ö., Rehn M., Lundqvist M. and Lansner A. (2008):

Brain-scale simulation of the neocortex on the Blue Gene/L supercomputer.

IBM J Research and Development: 52,

To be published by early 2008..

Brette R., Rudolph M., Carnevale T., Hines M., Beeman D., Bower J. M., Diesmann M., Morrison A., Goodman P. H., Harris F. C., Jr., Zirpe M., Natschläger T., Pecevski D., Ermentrout B., Djurfeldt M., Lansner A., Rochel O., Vieville T., Muller E., Davison A. P., Boustani S. E. and Destexhe A. (2007):

Simulation of networks of spiking neurons: a review of tools and strategies..

J. Comp. Neurosci.: ,

Online.

Holme P. and Huss M. (2007):

Comment on 'regularizing capacity of metabolic networks'.

Physical Review E: 76,

In press.

Huss M. and Holme P. (2007):

Currency and commodity metabolites: Their identification and relation to the modularity of metabolic networks.

IET Systems Biology: 1, 280-285

Huss M., Lansner A., Wallén P., El Manira A., Grillner S. and Hellgren Kotaleski J. (2007):

Roles of ionic currents in lamprey cpg neurons: a modeling study.

J. Neurophysiol.: 97, 2696-2711

Huss M. and Rehn M. (2007):

Tonically driven and self-sustaining activity in the lamprey hemicord: when can they co-exist?.

Neurocomputing: 70, 1882-1886

Johansson C. and Lansner A. (2007):

Imposing biological constraints onto an abstract neocortical attractor network model.

Neural computation: 19, 1871-1896

Johansson C. and Lansner A. (2007):

Towards cortex sized artificial neural systems.

Neural Networks: 20, 48-61

Kozlov A. K., Lansner A., Hellgren Kotaleski J. and Grillner S. (2007):

Locomotor rhythm generation in a population of excitatory interneurons of the lamprey hemicord - a computer simulation study.

Biol Cybern: 96, 229-243

Westermark P. O., Hellgren Kotaleski J., Björklund A., Grill V. and Lansner A. (2007):

A mathematical model of the mitochondrial NADH shuttles and anaplerosis in the pancreatic ß-cell.

Amer. J. Physiol. Endocrinol. Metab.: 292, E373-E393

Djurfeldt M. and Lansner A. (2006):

Large-scale modeling of the nervous system.

Tech. rep. International Neuroinformatics Coordinating Facility (INCF) .

Workshop report.

Fransén E., Tahvildari B., Egorov A. V., Hasselmo M. E. and Alonso A. A. (2006):

Mechanism of graded persistent cellular activity of entorhinal cortex layer v neurons.

Neuron: 49, 735-746

Hellgren Kotaleski J., Plenz D. and Blackwell K. T. (2006):

Using potassium currents to solve signal noise problems in inhibitory feedforward networks in the striatum.

J Neurophysiol: 95, 331-341

Huss M., Cangiano L. and Hellgren Kotaleski J. (2006):

Modelling self-sustained rhythmic activity in lamprey hemisegmental networks.

Neurocomputing: 69, 1097-1102

Huss M. and Nordström K. (2006):

Prediction of transcription factor binding to dna using rule induction methods.

Journal of Integrative Bioinformatics: 3, 1-17

Johansson C., Ekeberg Ö. and Lansner A. (2006):

Clustering of stored memories in an attractor network with local competition.

Int. J. Neural Systems: 16, 393-403

Johansson C. and Lansner A. (2006):

Attractor memory with self-organizing input.

In: LNCS. volume 3853 Springer Verlag , pages 265-280 .

Johansson C. and Lansner A. (2006):

A hierarchical brain-inspired computing system.

International Symposium on Nonlinear Theory and its Applications (NOLTA '06). Bologna, Italy .

Johansson C., Rehn M. and Lansner A. (2006):

Attractor neural networks with patchy connectivity.

Neurocomputing: 69, 627-633

Lindskog M., Kim M., Wikström M. A., Blackwell K. T. and Hellgren Kotaleski J. (2006):

Transient calcium and dopamine increase PKA activity and DARPP-32 phosphorylation.

PLOS Computational Biology: ,

in press.

Lundqvist M., Rehn M., Djurfeldt M. and Lansner A. (2006):

Attractor dynamics in a modular network model of the neocortex.

Network: Computation in Neural Systems: 17, 253-276

Lundqvist M., Rehn M. and Lansner A. (2006):

Attractor dynamics in a modular network model of the cerebral cortex.

Neurocomputing: 69, 1155-1159

Pearson K., Ekeberg Ö. and Büschges A. (2006):

Assessing sensory function in locomotor systems using neuro-mechanical simulations.

Trends in Neurosciences: 29, 625-631

Sandström M., Hjorth J., Lansner A. and Hellgren J. (2006):

The impact of the distribution of isoforms on CaMKII activation.

Neurocomputing: 69, 1010-1013

Steinert R., Rehn M. and Lansner A. (2006):

Recognition of handwritten digits using sparse codes generated by local feature extraction methods.

Proceedings of ESANN 2006. Brugge, Belgium , pages 161-166 .

Cürüklü B. and Lansner A. (2005):

A model of the summation pools within the layer 4 (area 17).

Neurocomputing: 65-66, 167-172

De Schutter E., Ekeberg Ö., Kotaleski J. H., Achard P. and Lansner A. (2005):

Biophysically detailed modelling of microcircuits and beyond.

Trends Neurosci.: 28, 562-569

Djurfeldt M., Johansson C., Ekeberg Ö., Rehn M., Lundqvist M. and Lansner A. (2005):

Massively parallel simulation of brain-scale neuronal network models.

Technical Report TRITA-NA-P0513 KTH, School of Computer Science and Communication Stockholm .

Ekeberg Ö. and Pearson K. G. (2005):

Computer simulation of stepping in the hind legs of the cat: an examination of mechanisms regulating the stance-to-swing transition.

J. Neurophysiol.: 94, 4256-4268

Fransén E. (2005):

Functional role of entorhinal cortex in working memory processing.

Neural Networks: 18, 1141-1149

Fransén E. (2005):

A synapse which can switch from inhibitory to excitatory and back.

Neurocomputing: 65-66, 39-45

Fransén E., Christensen C., Kozlov A., Xie Y., Djurfeldt M., Ekeberg Ö. and Lansner A. (2005):

Evaluation of model scalability in parallel neural simulators.

abstract at Wam-Bamm05.

Fransén E. A., Tahvildari B., Hasselmo M. E. and Alonso A. A. (2005):

Mechanisms of plateau termination in entorhinal cortex layer III pyramidal neurons.

volume 31 , pages 737.6 .

Grillner S., Hellgren Kotaleski J., Menard A., Saitoh K. and Wikström M. (2005):

Mechanisms for selection of basic motor programs - roles for striatum and pallidum.

Trends in Neurosciences: 28, 364-70

Grillner S., Kozlov A. and Hellgren Kotaleski J. (2005):

Integrative neuroscience: linking levels of analyses.

Curr Opin Neurobiol: 15, 614-21

Hellgren Kotaleski J., Plenz D. and Blackwell K. T. (2005):

The role of background synaptic noise in striatal spiking interneurons.

Neurocomputing: 65-66, 727-732

Holme P. and Huss M. (2005):

Role-similarity based functional prediction in networked systems: application to the yeast proteome.

J R Soc Interface: 2, 327-333

Lansner A. (2005):

Cell assemblies.

In: Encyclopedia of Nonlinear Science, (edited by Scott A.) New York: Routledge , pages 103-105 .

Lansner A. (2005):

Modelling the associative memory capabilities of attractor neural networks with special reference to cortical olfactory processing.

Proceedings of ISOEN 2005. Barcelona, Spain , pages 19-21 .

Lansner A. (2005):

Neural network models.

In: Encyclopedia of Nonlinear Science, (edited by Scott A.) New York: Routledge , pages 614-616 .

Sandberg A. and Fransén E. (2005):

An autocatalytic model of stdp timing from slow calcium signals.

Neurocomputing: 65-66, 603-608

Yuste R., MacLean J. N., Smith J. and Lansner A. (2005):

The cortex as a central pattern generator.

Nature Rev. Neurosci.: 6, 477-483

Edin F., Klingberg T. and Tegnér J. (2004):

Modeling the interaction between brain areas during a working memory task.

Fifth International Conference on Biological Physics. Gothenburg August .

Edin F., Machens C. K., Schütze H. and Herz A. V. M. (2004):

Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments.

J. Comput. Neurosci.: 17, 39-48

Ekeberg Ö., Blümel M. and Büschges A. (2004):

Dynamic simulation of insect walking.

Arthropod Structure and Development: 33, 287-300

Ekeberg Ö., Pearson K. and Büschges A. (2004):

Identifying critical mechanisms for walking by simulating neuro-mechanical interaction.

European Society for Biomechanics .

Englund M., Bjurling M., Edin F., Hyllienmark L. and Brismar T. (2004):

Hypoxic excitability changes and sodium currents in hippocampus CA1 neurons.

Cell Mol. Neurobiol.: 24, 685-694

Eriksson C., Alonso A. A., Hasselmo M. E. and Fransén E. A. (2004):

Amplification of subthreshold oscillations in entorhinal cortex layer ii stellate neurons by interdendritic synchronization and amplification.

Soc. Neurosci. Abstr.. volume 30 , pages 931.1 .

Fransén E. (2004):

Functional role of entorhinal cortex in working memory and information processing of the medial temporal lobe.

Proc IJCNN.

Fransén E. (2004):

Ionic mechanisms in working memory and information processing in the entorhinal cortex of the medial temporal lobe.

(invited presentation at NNIW-2004).

Fransén E. (2004):

Model of neuron in entorhinal cortex displaying line attractor dynamics of spiking activity.

Proc ICBP2004 (abstract).

Fransén E., Alonso A. A., Dickson C. T., Magistretti J. and Hasselmo M. E. (2004):

Ionic mechanisms in the generation of subthreshold oscillations and action potential clustering in entorhinal layer II stellate neurons.

Hippocampus: 14, 368-384

Fransén E. A., Hasselmo M. E. and Alonso A. A. (2004):

Mechanisms behind stable graded persistent spiking activity in entorhinal cortex neurons.

Soc. Neurosci. Abstr.. volume 30 , pages 931.2 .

Fregnac Y., Blatow M., Changeux J.-P., DeFilipe J., Lansner A., Maass W., Markram H., McCormick D., Michel C. M., Monyer H., Szathmary E. and Yuste R. (2004):

Ups and downs in the genesis of cortical computation.

In: Microcircuits: the interface between neurons and global brain function, (edited by Grillner S.) MIT Press .

Dahlem Workshop Report 93. In press.

Hallén K., Huss M., Kettunen P., El Manira A. and {Hellgren Kotaleski} J. (2004):

mGluR-mediated calcium oscillations in the lamprey: a computational model.

Neurocomputing: 58-60, 431-435

Hellgren Kotaleski J., Lindskog M. and Blackwell K. T. (2004):

DARPP-32 acts as a temporal integrator: results from a computer model.

IBAGS VIII abstracts, Crieff, Scotland. September .

Johansson C. (2004):

Towards cortex isomorphic attractor neural networks.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

ISBN 91-7283-810-8, TRITA-NA-0415, ISSN 0348-2952, ISRN KTH/NA/R-04/15-SE.

Johansson C. and Lansner A. (2004):

BCPNN implemented with fixed-point arithmetic.

Tech. Rep. TRITA-NA-P0403 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Johansson C. and Lansner A. (2004):

Towards cortex sized artificial nervous systems.

In Proc. KES'04. WelTec, Wellington, New Zealand September 22-24 .

Johansson C. and Lansner A. (2004):

Towards cortex sized artificial nervous systems.

In: LNAI. volume 3213 Springer Verlag , pages 959-966 .

Johansson C. and Lansner A. (2004):

Towards cortex sized attractor ANN.

In Proc. Bio-ADIT, Jan. 29-30. Lausanne, Switzerland January 29-30 .

Johansson C. and Lansner A. (2004):

Towards cortex sized attractor ANN.

In: LNCS. volume 3141 Springer Verlag , pages 63-79 .

Kiehn O. et al (2004):

Microcircuits in the motor system.

In: Microcircuits: the interface between neurons and global brain function, (edited by Grillner S.) MIT Press .

Dahlem Workshop Report 93. In press.

Lloréns V. C. and Fransén E. (2004):

Intrinsic desynchronization properties of neurons containing dendritic rapidly activating k-currents.

Neurocomputing: 58-60, 137-143

Rehn M. and Lansner A. (2004):

Sequence memory with dynamical synapses.

Neurocomputing: 58-60, 271-278

Svantesson A., Westermark P. O., Hellgren Kotaleski J., Gharizadeh B., Lansner A. and Nyrén P. (2004):

A mathematical model of the Pyrosequencing reaction system.

Biophys. Chem.: 110, 129-45

Westermark P. O., Hellgren Kotaleski J. and Lansner A. (2004):

Derivation of a reversible Hill equation with modifiers affecting catalytic properties.

WSEAS Transactions on Biology and Medicine: 1, 91-98

Westermark P. O., Hellgren Kotaleski J. and Lansner A. (2004):

Glucose-stimulated insulin secretion - insights from modelling.

Recent Res. Devel. Biophys.: 3, 325-350

Bem T., Cabelguen J.-M., Ekeberg Ö. and Grillner S. (2003):

From swimming to walking: a single basic network for two different behaviors.

Biol. Cybern.: 88, 79-90

Büschges A., Dürr V., Ekeberg Ö. and Pearson K. (2003):

Stick insect walking pattern generation - a 3d neuro-mechanical simulation study.

German Society for Neuroscience .

Cürüklü B. and Lansner A. (2003):

Quantitative assessment of the local and long-range horizontal connections within the striate cortex.

Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS), Special session on "biologically inspired computer vision". IEEE .

Ekeberg Ö., Büschges A., Dürr V. and Pearson K. (2003):

Stick insect walking pattern generation: a 3d neuro-mechanical simulation study.

Soc. Neurosci. Abstr.. volume 33 , pages 278.13 .

Eriksson D., Fransén E., Zilberter Y. and Lansner A. (2003):

Effects of short-term synaptic plasticity in a local microcircuit on cell firing.

Neurocomputing: 52-54, 7-12

Eriksson D. and Lansner A. (2003):

Dynamic hierarchical attractor-clustering.

Technical Report TRITA-NA-P0304 Dept. Numerical analysis and computer science .

Fagergren A., Ekeberg Ö. and Forssberg H. (2003):

Control strategies correcting inaccurately programmed fingertip forces: Model predictions derived from human behavior.

J. Neurophysiol: 89, 2904-2916

Fransén E. (2003):

Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks.

Neurocomputing: 52-54, 763-769

Fransén E. A., Egorov A. V., Hasselmo M. E. and Alonso A. A. (2003):

Model of graded persistent activity in entorhinal cortex neurons.

Soc. Neurosci. Abstr.. volume 29 , pages 557.6 .

Hellgren Kotaleski J., Plenz D. and Blackwell K. T. (2003):

Background inputs and ka current influence firing of striatal fast spiking interneurons.

Soc. Neurosci. Abstr.. Society for Neuroscience Washington, D.C. November .

Holme P. and Huss M. (2003):

Discovery and analysis of biochemical subnetwork hierarchies.

3rd Workshop on Computation of Biochemical Pathways and Genetic Networks, (proceedings edited by Gauges R., Kummer U., Pahle J. and Rost U.) Logos, Berlin , pages 3-9 .

European Media Lab Proceedings.

Holme P., Huss M. and Jeong H. (2003):

Subnetwork hierarchies of biochemical pathways.

Bioinformatics: 19, 532-538

Huss M., Hess D., d'Incamps B. L., El Manira A., Lansner A. and Hellgren Kotaleski J. (2003):

Role of A-current in lamprey locomotor network neurons.

Neurocomputing: 52-54, 295-300

Johansson C. and Lansner A. (2003):

Mapping of the BCPNN onto cluster computers.

Tech. Rep. TRITA-NA-P0305 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Johansson C., Raicevic P. and Lansner A. (2003):

Reinforcement learning based on a bayesian confidence propagating neural network.

In Proc. SAIS-SSLS Joint Workshop. Center for Applied Autonomous Sensor Systems, Örebro, Sweden April 10-11 .

Lansner A., Fransén E. and Sandberg A. (2003):

Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory.

Theory Biosci: 122, 19-36

Sandberg A., Lansner A. and Tegnér J. (2003):

A working memory model based on fast hebbian learning.

Network: Computation in Neural Systems: 14, 789-802

Westermark P. O. and Lansner A. (2003):

A model of phosphofructokinase and glycolytic oscillations in the pancreatic ß-cell.

Biophys. J.: 85, 126-139

Blackwell K. T. and Hellgren Kotaleski J. (2002):

Modeling the dynamics of second messenger pathways.

Neuronal Databases: a Practical Guide, (proceedings edited by Kötter R.) Kluwer Academic Publishers Norwell, MA October , pages 63-80 .

Büschges A. and Ekeberg Ö. (2002):

3-dimensional dynamic simulation of walking systems.

Cürüklü B. and Lansner A. (2002):

An abstract model of a cortical hypercolumn.

Ninth International Conference on Neural Information Processing (ICONIP). IEEE Singapore , pages 80-85 .

Egorov A. V., Fransén E. A., Hasselmo M. E. and Alonso A. A. (2002):

Intrinsic graded persistent activity in entorhinal cortex layer v neurons.

Soc. Neurosci. Abstr.. volume 28 , pages 445.9 .

Egorov A. V., Hamam B. N., Fransén E., Hasselmo M. E. and Alonso A. A. (2002):

Graded persistent activity in entorhinal cortex neurons.

Nature: 420, 173-178

Fransén E., Alonso A. A. and Hasselmo M. E. (2002):

Simulations of the role of the muscarinic-activated calcium-sensitive non-specific cation current $i_NCM$ in entorhinal neuronal activity during delayed matching tasks.

J. Neurosci.: 22, 1081-1097

Fransén E. A., Alonso A. A. and Hasselmo M. E. (2002):

Turning off spiking activity in delayed matching tasks involving entorhinal cortex working memory.

Soc. Neurosci. Abstr.. volume 28 , pages 584.1 .

Hellgren Kotaleski J. and Blackwell K. T. (2002):

Organization of synaptic inputs to striatal fast spiking interneurons.

Soc. Neurosci. Abstr.. Society for Neuroscience Washington, D.C. November .

Hellgren Kotaleski J. and Blackwell K. T. (2002):

Sensitivity to interstimulus interval due to calcium interactions in the purkinje cell spines.

Neurocomputing: 44-46, 13-18

Hellgren Kotaleski J., Lester D. and Blackwell K. T. (2002):

Subcellular interactions between parallel fibre and climbing fibre signals in purkinje cells predict sensitivity of classical conditioning to interstimulus interval.

Integr Physiol Behav Sci: 37, 265-292

Johansson C. and Lansner A. (2002):

An associative neural network model of classical conditioning.

Tech. Rep. TRITA-NA-P0217 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Johansson C. and Lansner A. (2002):

A neural reinforcement learning system.

Tech. Rep. TRITA-NA-P0215 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Johansson C., Sandberg A. and Lansner A. (2002):

A neural network with hypercolumns.

In Proc. ICANN 2002, LNCS 2415. Madrid, Spain , pages 192-197 .

Lindskog M., Blackwell K. T., Wikström M. and Hellgren Kotaleski J. (2002):

A kinetic model on darpp-32 and the pka/pp1 cascade.

Soc. Neurosci. Abstr.. Society for Neuroscience Washington, D.C. November .

Sandberg A. and Lansner A. (2002):

Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network.

Neurocomputing: 44-46, 615-622

Sandberg A., Lansner A., Petersson K. M. and Ekeberg Ö. (2002):

Bayesian attractor networks with incremental learning.

Network: Computation in neural systems: 13, 179-194

Svensson J. (2002):

Updating of split.

Technical Report TRITA-NA-P0210 Dept. of Numerical analysis and computer science Stockholm .

Cürüklü B. and Lansner A. (2001):

Spike and burst synchronization in a detailed cortical network model with i-f neurons.

International Conference on Artificial Neural Networks (ICANN). Springer Verlag , pages 1095-1102 .

Djurfeldt M., Ekeberg Ö. and Graybiel A. M. (2001):

Cortex-basal ganglia interaction and attractor states.

Neurocomputing: 38-40, 573-579

Edin F., Machens C. K., Schütze H., Benda J. and Herz A. V. M. (2001):

Iterative stimulus reconstruction in closed-loop experiments.

28th Göttingen Neurobiology Conference. Thieme Verlag Göttingen , pages 240 .

Ekeberg Ö. (2001):

Modeling of interactions between neural networks and musculoskeletal systems.

In: Computational Neuroscience, Realistic Modeling for Experimentalists, (edited by d Schutter E.) Florida: CRC Press , pages 317-335 .

Fagergren A., Ekeberg Ö. and Forssberg H. (2001):

Supraspinal motor control signals calculated from human precision grip behavior.

Soc. Neurosci. Abstr.. volume 31 , pages 300.8 .

Fransén E., Alonso A. A. and Hasselmo M. E. (2001):

Entorhinal neuronal activity during delayed matching tasks may depend upon muscarinic induced non-specific cation current I(CANM).

Neurocomputing: 38-40, 601-606

Fransén E., Alonso A. A. and Hasselmo M. E. (2001):

Network mechanisms of non-match enhancement, suppression and repetition in delayed matching tasks involving entorhinal cortex working memory function.

Soc. Neurosci. Abstr.. volume 27 , pages 852.10 .

Johansson C. and Lansner A. (2001):

A parallel implementation of a bayesian neural network with hypercolumns.

Tech. Rep. TRITA-NA-P0121 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Johansson C., Sandberg A. and Lansner A. (2001):

A capacity study of a bayesian neural network with hypercolumns.

Tech. Rep. TRITA-NA-P0120 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Kozlov A. K., Aurell E., Orlovsky G. N., Deliagina T., Zelenin P. V., Hellgren Kotaleski J. and Grillner S. (2001):

Modeling postural control in the lamprey.

Biol Cybern: 84, 323-330

Kozlov A. K., Hellgren Kotaleski J., Aurell E., Grillner S. and Lansner A. (2001):

Modeling of substance p and 5-ht induced synaptic plasticity in the lamprey spinal cpg - consequences for network pattern generation.

J Comput Neurosci: 11, 183-200

Sandberg A., Petersson K.-M. and Lansner A. (2001):

Selective enhancement of recall through plasticity modulation in an auto-associative memory.

Neurocomputing: 38-40, 867-873

Wahlgren N. and Lansner A. (2001):

Biological evaluation of a hebbian-bayesian learning rule.

Neurocomputing: 38-40, 433-438

Yang K.-H., Kotaleski J. H. and Blackwell K. T. (2001):

The role of protein kinase C in the biochemical pathway of classical conditioning.

Neurocomputing: 38-40, 79-85

Dickson C. T., Magistretti J., Shalinsky M. H., Fransén E., Hasselmo M. E. and Alonso A. A. (2000):

Properties and role of Ih in the pacing of subthreshold oscillations in entorhinal cortex layer II neurons.

J. Neurophysiol.: 83, 2562-2579

Ekeberg Ö. (2000):

Spinal circuits controlling swimming movements in fish.

In: Biomechanics and Neural Control of Posture and Movement, (edited by Winters J. and Crago P.) Springer-Verlag , pages 221-230 .

Fagergren A., Ekeberg Ö. and Forssberg H. (2000):

Precision grip force dynamics: a system identification approach.

IEEE Trans. Biomed. Eng.: 47, 1366-1375

Fransén E., Alonso A. A. and Hasselmo M. E. (2000):

Cellular and synaptic mechanisms of match enhancment and supression in DMS working memory tasks involving entorhinal cortex.

Soc. Neurosci. Abstr.. volume 26 , pages 596.6 .

Hasselmo M. E., Fransén E., Dickson C. T. and Alonso A. A. (2000):

Computational modeling of entorhinal cortex.

Annals NY Acad. Sci.: 911, 418-446

Kozlov A., Aurell E., Deliagina T., Grillner S., Hellgren Kotaleski J., Orlovsky G. and Zelenin P. (2000):

Modeling control of roll-plane body orientation in lamprey.

Neurocomputing: 32-33, 871-877

Krieger P., Hellgren Kotaleski J., Kettunen P. and El Manira A. J. (2000):

Interaction between metabotropic and ionotropic glutamate receptors regulates neuronal network activity.

J. Neurosci.: 20, 5382-5391

Sandberg A., Lansner A., Petersson K. M. and Ekeberg Ö. (2000):

A palimpsest memory based on an incremental Bayesian learning rule.

Neurocomputing: 32-33, 987-994

Yang K.-H., Hellgren Kotaleski J. and Blackwell K. T. (2000):

The role of protein kinase c in the temporal specificity of purkinje cells.

Soc. Neurosci. Abstr.. volume 26 Society for Neuroscience Washington, D.C. November , pages 718 .

Djurfeldt M., Sandberg A., Ekeberg Ö. and Lansner A. (1999):

See-a framework for simulation of biologically detailed and artificial neural networks and systems.

Neurocomputing: 26-27, 999-1003

Ekeberg Ö. and Grillner S. (1999):

Simulations of neuromuscular control in lamprey swimming.

Phil. Trans. R. Soc. Lond. B: 354, 895-902

Fransén E., Alonso A. A. and Hasselmo M. E. (1999):

Intrinsic properties of rat entorhinal cells relevant to working memory.

Soc. Neurosci. Abstr.. volume 25 , pages 725.6 .

Fransén E., Wallenstein G. V., Alonso A. A., Dickson C. T. and Hasselmo M. E. (1999):

A biophysical simulation of intrinsic and network properties of entorhinal cortex.

Neurocomputing: 26-27, 375-380

Hellgren Kotaleski J., Grillner S. and Lansner A. (1999):

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. I: Segmental oscillations dependent on reciprocal inhibition.

Biol. Cybern.: 81, 317-330

Hellgren Kotaleski J. and Krieger P. (1999):

Simulation of metabotropic glutamate receptor induced effects in the lamprey CPG.

Neurocomputing: 32-33, 433-439

Hellgren Kotaleski J. and Lansner A. (1999):

Modeling cellular processes - bioinformatics beyond sequences.

Tech. Rep. TRITA-NA-P9906 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Hellgren Kotaleski J., Lansner A. and Grillner S. (1999):

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. II: Hemisegmental oscillations produced by mutually coupled excitatory neurons.

Biol. Cybern.: 81, 299-315

Hellgren Kotaleski J., Tegnér J., Lansner A. and Grillner S. (1999):

Control of burst proportion and frequency range by drive-dependent modulation of adaptation.

Neurocomputing: 26-27, 185-191

Kozlov A., Hellgren Kotaleski J., Aurell E., Grillner S. and Lansner A. (1999):

Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior.

Neurocomputing: 32-33, 441-446

Sandberg A., Lansner A., Petersson K.-M. and Ekeberg Ö. (1999):

An incremental bayesian learning rule.

Tech. Rep. TRITA-NA-P9908 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Tegnér J. and Hellgren-Kotaleski J. (1999):

The synaptic NMDA component desynchronizes neural bursters.

Neurocomputing: 26-27, 557-563

Bate A., Lindquist M., Edwards R. I., Olsson S., Orre R., Lansner A. and d Freitas R. M. (1998):

A bayesian neural network method for adverse reaction signal generation.

Ekeberg Ö., Grillner S. and Lansner A. (1998):

A spinal pattern generating network producing steering through yaw, pitch and roll movements during undulatory swimming.

Fransén E., Dickson C. T., Magistretti J., Alonso A. A. and Hasselmo M. E. (1998):

Modeling the generation of subthreshold membrane potential oscillations of entorhinal cortex layer II.

Soc. Neurosci. Abstr.. volume 24 , pages 814.5 .

Fransén E. and Lansner A. (1998):

A model of cortical associative memory based on a horizontal network of conneted columns.

Network: 9, 235-264

Grillner S., Ekeberg Ö., El Manira A., Lansner A., Parker D., Tegnér J. and Wallén P. (1998):

Intrinsic function of a neuronal network - a vertebrate central pattern generator.

Brain Res. Reviews.: 18, 115-124

Hammarlund P. and Ekeberg Ö. (1998):

Large neural network simulations on multiple hardware platforms.

J. Comput. Neurosci.: 5, 443-459

Kotaleski J. H. (1998):

Modeling of bursting mechanisms and coordination in a spinal central pattern generator.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

ISBN 91-7170-225-5, ISSN 0348-2952, ISRN KTH/NA/R-98/10-SE, TRITA-NA-P9810.

Lansner A. (1998):

Modeling the spinal neuronal network that generates undulatory swimming in the lamprey.

European Neuroscience Association (ENA), (proceedings edited by Kötter R.) Berlin .

(Abstract, Invited paper).

Lansner A., Kotaleski J. H. and Grillner S. (1998):

Modeling the spinal neuronal circuitry underlying locomotion in a lower vertebrate.

In: Neuronal Mechanims for Generating Locomotor Activity, (edited by Kiehn O., Harris-Warrick R. M., Jordan L. M., Hultborn H. and Kudo N.) New York: New York Academy of Sciences , pages 239-249 .

(Invited paper).

Levin B., Holst A., Lansner A. and Haraszti Z. (1998):

Simulation support and atm performance prediction.

ICANN 98, (proceedings edited by L. Niklasson M. B. and Ziemke T.) Springer Skövde, Sweden , pages 263-268 .

Orre R. (1998):

Data mining and process modelling using a bayesian confidence propagation neural network.

Licentiate degree thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9810, ISSN 1101-2250, ISRN KTH/NA/P-98/10-SE, ISBN 91-7170-273-3.

Quill U., Wörgötter F. and Lansner A. (1998):

The role of spatio-temporal neural response characteristics in the formation of synchrony.

ICANN 98, (proceedings edited by L. Niklasson M. B. and Ziemke T.) Springer Skövde, Sweden , pages 997-1002 .

Tegnér J. and Grillner S. (1998):

Interactive effects of the $GABA_\rm b$-ergic modulation of calcium channels and calcium dependent potassium channels in lamprey as revealed by experiments and simulations.

submitted: ,

Ullström M., Kotaleski J. H., Tegnér J., Aurell E., Grillner S. and Lansner A. (1998):

Activity dependent modulation of adaptation produces a constant burst proportion in a lamprey neural network model.

Wadden T. (1998):

Neural control of locomotion in biological and robotic systems.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

ISBN 91-7153-775-9, ISSN 1101-2250, ISRN KTH/NA/R-P98/09-SE, TRITA-NA-P9809.

Wadden T. and Ekeberg Ö. (1998):

A neuro-mechanical model of legged locomotion: Single leg control.

Biol. Cybern.: 79, 161-173

Djurfeldt M. (1997):

Modeling the primary visual pathway of the cat, using spiking Hodgkin-Huxley style units.

Tech. Rep. TRITA-NA-E9742 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Hellgren Kotaleski J., Lansner A. and Grillner S. (1997):

Production of phase lag in chains of neural networks oscillating through an escape mechanism.

Computational Neuroscience: Trends in Research, 1998, (proceedings edited by Bower J. M.) Plenum Press Big Sky, Montana , pages 65-70 .

Holst A. (1997):

The use of a bayesian neural network model for classification tasks.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9708.

Lansner A. (1997):

Datorn kan hjälpa oss förstå hjärnans funktion.

(in Swedish).

Lansner A., Ekeberg Ö., Fransén E., Hammarlund P. and Wilhelmsson T. (1997):

Detailed simulation of large scale neural networks.

Computational Neuroscience: Trends in Research, 1997, (proceedings edited by Bower J. M.) Plenum Press Boston , pages 931-935 .

Lansner A., Ekeberg Ö. and Grillner S. (1997):

Realistic modeling of burst generation and swimming in lamprey.

In: Neurons, Networks, and Motor Behavior, (edited by Stein P. S., Grillner S., Selverston A. I. and Stuart D. G.) Tucson, USA: MIT Press , pages 165-171 .

Invited paper.

Lansner A. and Fransén E. (1997):

Attractor network models of cortical associative memory.

In: Biocomputing and Emergent Computation, (edited by Lundh D., Olsson B. and Narayanan A.) Skövde, Sweden: World Scientific Publishing , pages 238-250 .

Lansner A., Hellgren-Kotaleski J., Ullström M. and Grillner S. (1997):

Local spinal modulation of the calcium dependent potassium channel underlying slow adaptation in a model of the lamprey cpg.

Computational Neuroscience: Trends in Research, 1998, (proceedings edited by Bower J. M.) Plenum Press Big Sky, Montana , pages 429-434 .

Lansner A., Hellgren-Kotaleski J., Ullström M. and Grillner S. (1997):

Modulating the calcium dependent potassium conductance in a model of the lamprey CPG.

Computational Neuroscience: Trends in Research, 1997, (proceedings edited by Bower J. M.) Plenum Press Boston , pages 365-370 .

Li G., Svensson B. and Lansner A. (1997):

A neuro-computational model for mobile robot self-orientation in partially known environments.

Proc. 2nd International Workshop on Mechatronical Computer Systems for Perception and Action. Kluwer, Boston, MA Pisa, Italy , pages 115-124 .

Li G., Svensson B. and Lansner A. (1997):

Self-orienting with on-line learning of environmental features.

Adaptive Behavior: 6, 534-566

Li G., Svensson B. and Lansner A. (1997):

Self-orienting with on-line learning of environmental features.

Proc. AISB 97 workshop on Spatial Reasoning in Mobile Robots and Animals. Manchester, England , pages 77-85 .

Liljenström H. (1997):

Cognitition and the efficiency of neural processes.

In: Matter Matters? - On the Material Basis of the Cognitive Functions of Mind, (edited by Århem P., Liljenström H. and Svedin U.) Heidelberg: Springer Verlag .

Sandberg A. (1997):

Gesture recognition using neural networks.

Tech. Rep. TRITA-NA-E9727 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Tegnér J. (1997):

Modulation of cellular mechanisms in a spinal locomotor network.

PhD thesis Dept. of Neuroscience,Karolinska institutet .

ISBN 91-628-2630-1.

Tegnér J. and Grillner S. (1997):

Activity dependent modulatory effects of calcium dependent potassium channel subtypes in lamprey locomotor network - a computational and experimental study..

submitted: ,

Tegnér J., Hellgren-Kotaleski J., Lansner A. and Grillner S. (1997):

A computational and experimental study of rebound firing and modulatory effects in the lamprey spinal network.

Computation and Neural Systems, (proceedings edited by Bower J. M.) Plenum Press Boston July 12-15, 1996 , pages 519-524 .

Tegnér J., Hellgren-Kotaleski J., Lansner A. and Grillner S. (1997):

Low voltage activated calcium channels in the lamprey locomotor network-simulation and experiment.

J. Neurophysiol.: 77, 1795-1812

Tegnér J., Lansner A. and Grillner S. (1997):

Activity dependent modulation of the burst rate by calcium-dependent potassium channels in lamprey.

Computational Neuroscience: Trends in Research, 1998, (proceedings edited by Bower J. M.) Plenum Press Big Sky, Montana , pages 549-554 .

Tegnér J., Lansner A. and Grillner S. (1997):

Modulation of burst frequency by calcium-dependent potassium channels in the lamprey locomotor system-dependence of the activity level.

J. Comput. Neurosci.: 5, 121-140

Tegnér J., Lansner A. and Grillner S. (1997):

Modulation of oscillatory properties, burst rates, intersegmental coordination by $GABA_\rm b$-receptor activation in the lamprey.

Computational Neuroscience: Trends in Research, 1998, (proceedings edited by Bower J. M.) Plenum Press Big Sky, Montana , pages 543-548 .

Ullström M., Lansner A., Hellgren-Kotaleski J. and Grillner S. (1997):

Significance of modulated adaptation for rhythm generation and intersegmental co-ordination in lamprey.

Computational Neuroscience: Trends in Research, 1998, (proceedings edited by Bower J. M.) Plenum Press Big Sky, Montana July , pages 561-565 .

Wadden T., Hellgren-Kotaleski J., Lansner A. and Grillner S. (1997):

Intersegmental coordination in the lamprey: Simulations using a network model without segmental boundaries.

Biol. Cybern.: 76, 1-9

El Manira A., Tegnér J. and Grillner S. (1996):

Locomotor-related presynaptic modulation of primary afferents in the lamprey.

Eur. J. Neurosci.: 9, 696-705

Fransén E. (1996):

Biophysical simulation of cortical associative memory.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P96/28.

Hammarlund P. (1996):

Techniques for efficient parallel scientific computing.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9611.

Hammarlund P., Ekeberg Ö., Wilhelmsson T. and Lansner A. (1996):

Large neural network simulations on multiple hardware platforms.

The Neurobiology of Computation, (proceedings edited by Bower J. M.) Boston .

Lansner A. and Holst A. (1996):

A higher order Bayesian neural network with spiking units.

Int. J. Neural Systems: 7, 115-128

Liljenström H. (1996):

Neuromodulation can significantly change the dynamical state of cortical networks.

Behavioral and Brain Sciences: 19, 303-304

Liljenström H. (1996):

Noise and chaos can increase the efficiency of neural information processing.

Int. J. Neural Systems: 7, 497-506

Orre R. and Lansner A. (1996):

Pulp quality modeling using Bayesian mixture density neural networks.

J. Syst. Engineering: 6, 128-136

Proc. EANN-95.

Wilhelmsson T. and Liljenström H. (1996):

A parallel implementation of an olfactory cortex model: Dynamics and associative memory.

The Neurobiology of Computation: Proceedings of the Fourth Annual Computation and Neural Systems Conference, (proceedings edited by Bower J. M.) Kluwer, Boston, MA Monterey, CA July 12-15, 1995 .

Ekeberg Ö., Lansner A. and Grillner S. (1995):

The neural control of fish swimming studied through numerical simulations.

Adaptive Behavior: 3, 363-384

Fransén E. and Lansner A. (1995):

Low spiking rates in a network with overlapping assemblies.

The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, (proceedings edited by Bower J. M.) Kluwer, Boston, MA Monterey, CA July 21-26, 1994 , pages 203-208 .

Fransén E. and Lansner A. (1995):

Low spiking rates in a population of mutually exciting pyramidal cells.

Network: 6, 271-288

Fransén E. and Lansner A. (1995):

Recurrent attractor neural networks in models of cortical associative memory function.

Current Trends in Connectionism, Proc. of the 1995 Swedish Conference on Connectionism, (proceedings edited by Niklasson L. F. and Bodén M. B.) Lawrence Erlbaum Hillsdale, New Jersey , pages 33-42 .

Grillner S., Deliagina T., Ekeberg Ö., El Manira A., Hill R. H., Lansner A., Orlovsky G. and Wallén P. (1995):

Neural networks that coordinate locomotion and body orientation in lamprey.

Trends Neurosci.: 18, 270-279

Holst A. and Lansner A. (1995):

A higher order bayesian neural network for classification and diagnosis.

Applied Decision Technologies: Computational Learning and Probabilistic Reasoning. , pages 251-260 .

London, England, April 3-5.

Holst A. and Lansner A. (1995):

A higher order bayesian neural network for classification and diagnosis.

Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 2, (proceedings edited by Alspector J., Goodman R. and Brown T. X.) Lawrence Erlbaum Associates, Hillsdale , pages 347-354 .

Stockholm, Sweden, May 22-24.

Lansner A. and Fransén E. (1995):

Cortical columns in attractor models makes connectivity more biologically realistic.

Cortical Dynamics in Jerusalem: Proceedings of the Symposium on Experimental and Theoretical Issues in the Dynamics and Function of the Neocortex, (proceedings edited by Abeles M. and Sompolinsky H.) The Hebrew University of Jerusalem Jerusalem, Israel , pages 89 .

Lansner A. and Fransén E. (1995):

Distributed cell assemblies and detailed cell models.

Behavioral and Brain Sciences: 18, 637-638

Peer comment.

Lansner A. and Fransén E. (1995):

Improving the realism of attractor models by using cortical columns as functional units.

The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, (proceedings edited by Bower J. M.) Kluwer, Boston, MA Monterey, CA July 21-26, 1994 , pages 251-256 .

Levin B. (1995):

On extensions, parallel implementation and applications of a bayesian neural network.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9515.

Liljenström H. (1995):

Autonomous learning with complex dynamics.

Int. J. Intelligent Systems: 10, 119-153

Liljenström H. (1995):

A cortical associative memory model for odor recognition.

Engineering Applications of Artificial Neural Networks, (proceedings edited by Bulsari A. and Kallio S.) Finnish Artificial Intelligence Society Otaniemi, Finland August 21-23 , pages 179-184 .

Proc. EANN-95.

Liljenström H. and Hasselmo M. (1995):

Cholinergic modulation of cortical oscillatory dynamics.

J. Neurophysiol.: 74, 288-297

Liljenström H. and Wu X. (1995):

Noise-enhanced performance in a cortical associative memory model.

Int. J. Neural Systems: 6, 19-29

Liljenström H. and Wu X. (1995):

Oscillations, chaos and noise in associative memory.

The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, (proceedings edited by Bower J. M.) Kluwer, Boston, MA Monterey, CA July 21-26, 1994 , pages 257-262 .

Orre R. and Lansner A. (1995):

Pulp quality modeling using Bayesian mixture density neural networks.

Engineering Applications of Artificial Neural Networks, (proceedings edited by Bulsari A. and Kallio S.) Finnish Artificial Intelligence Society Otaniemi, Finland August 21-23 , pages 351-358 .

Proc. EANN-95.

Sikström S. and Lansner A. (1995):

The TECO theory - simulation of recognition failure.

Current Trends in Connectionism, Proc. of the 1995 Swedish Conference on Connectionism, (proceedings edited by Niklasson L. F. and Bodén M. B.) Lawrence Erlbaum Hillsdale, New Jersey , pages 87-101 .

Wadden T., Hellgren-Kotaleski J., Lansner A. and Grillner S. (1995):

Simulations of the intersegmental coordination during swimming in the lamprey using a continuous network model.

Neurobiology of Computation: The Proceedings of the Third Annual Computation and Neural Systems Conference, (proceedings edited by Bower J. M.) Kluwer, Boston, MA Monterey, CA July 21-26, 1994 , pages 353-358 .

Wikström M., Hill R. H., Hellgren J. and Grillner S. (1995):

The action of 5-HT on calcium-dependent potassium channels and on the spinal locomotor network in lamprey is mediated by 5-HT1A-like receptors.

Brain Res.: 678, 191-199

Wilhelmsson T. (1995):

Simulating the dynamics of olfactory cortex on a Connection Machine.

LiTH-ISY-EX-1336.

Blomberg C., Liljenström H., Lindahl B. I. B. and Århem P. (1994):

Mind and matter: Essays from biology, physics and philosophy - an introduction.

J. Theor. Biol.: 171, 1-5

Brodin L., Shupliakov O., Pieribone V., Hellgren J. and Hill R. H. (1994):

The reticulospinal glutamate synapse in lamprey: plasticity and presynaptic variability.

J. Neurophysiol.: 72, 592-604

Ekeberg Ö. (1994):

An integrated neuronal and mechanical model of fish swimming.

Computation in Neurons and Neural Systems, (proceedings edited by Eeckman F. H.) Kluwer, Boston, MA Washington DC August 1-4, 1993 , pages 217-222 .

Ekeberg Ö., Hammarlund P., Levin B. and Lansner A. (1994):

SWIM - A simulation environment for realistic neural network modeling.

In: Neural Network Simulation Environments, (edited by Skrzypek J.) Hingham, MA: Kluwer , pages 47-71 .

El Manira A., Tegnér J. and Grillner S. (1994):

Calcium-dependent potassium channels play a critical role for burst termination in the locomotor network in lamprey.

J. Neurophysiol.: 72, 1852-1861

Fransén E., Lansner A. and Liljenström H. (1994):

A model of cortical associative memory based on Hebbian cell assemblies.

Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, (proceedings edited by Niklasson L. F. and Bodén M. B.) Ellis Horwood Skövde, Sweden September 9-10 , pages 165-172 .

Grillner S., El Manira A., Tegnér J., Wadden T., Vinay L. and Barthe J.-Y. (1994):

Dynamic changes in functional connectivity in a lower vertebrate model.

In: Cellular and molecular Mechanisms Underlying Higher Neural Functions, (edited by Selverston A. and Ascher P.) New York: John Wiley and Sons, Ltd , pages 127-147 .

Hammarlund P. and Lansner A. (1994):

Behaviours, motivations and perceptions in artificial creatures.

Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, (proceedings edited by Niklasson L. F. and Bodén M. B.) Ellis Horwood Skövde, Sweden September 9-10 , pages 173-184 .

Hellgren Kotaleski J., Wadden T., Lansner A. and Grillner S. (1994):

A continuous network model of the lamprey swimming rhythm generator - intersegmental coordination.

Soc. Neurosci. Abstr.. volume 20 Society for Neuroscience Washington, D.C. November , pages 1592 .

Holst A. and Lansner A. (1994):

Feldiagnos baserad på artificiella neuronnät. Lägesrapport avseende hösten 1993 - våren 1994.

Tech. rep. Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Holst A. and Lansner A. (1994):

A robust query-reply system based on a Bayesian neural network.

Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, (proceedings edited by Niklasson L. F. and Bodén M. B.) Ellis Horwood Skövde, Sweden September 9-10 , pages 291-300 .

Krieger P., Tegnér J., El Manira A. and Grillner S. (1994):

Metabotropic receptor activation induces a depolarization in lamprey neurons as well as a change of the fictive locomotion.

Neuroreport: 5, 1760-1762

Lansner A. and Ekeberg Ö. (1994):

Neuronal network models of motor generation and control.

Curr. Opin. Neurobiol.: 4, 903-908

Lansner A. and Liljenström H. (1994):

Computer models of the brain - How far can they take us?.

J. Theor. Biol.: 171, 61-73

Liljenström H. (1994):

Cognition, neurodynamics, and computer models.

Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, (proceedings edited by Niklasson L. F. and Bodén M. B.) Ellis Horwood Skövde, Sweden September 9-10 , pages 89-98 .

Liljenström H. (1994):

Neurodynamical basis for consciousness states.

Proc. 7th Intl. Congress on Psychophysiol. Thessaloniki, Greece September 27-October 2, 1994 .

(abstract).

Liljenström H. (1994):

Oscillations and associative memory: Brain and model.

In: Brain and Mind - Biol. Transactions of the Danish Academy of Sciences and Letters, (edited by Cotterill R.) volume 43 Munksgaard, Copenhagen , pages 109-123 .

Liljenström H. and Wu X. (1994):

Noise and neuromodulatory effects on a cortical associative memory.

Proc. of World Congress on Neural Networks. Orlando, U.S.A. June 28-July 2 .

Orre R. and Lansner A. (1994):

Function approximation by prediction of a posteriori density with bayesian ANN:s.

Tech. Rep. TRITA-NA-P9413 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Tråvén H. (1994):

Internal representation models in feed-forward artificial neural networks.

Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, (proceedings edited by Niklasson L. F. and Bodén M. B.) Ellis Horwood Skövde, Sweden September 9-10 , pages 251-262 .

Wilhelmsson T. and Liljenström H. (1994):

Simulating the complex dynamics of a brain structure.

In: PDC Center for Parallel Computers Progress Report 1993, (edited by Hedman F., Hammarlund P. and Oppelstrup J.) Parallelldatorcentrum, KTH, Stockholm, Sweden , pages 24-28 .

Wu X. and Liljenström H. (1994):

Regulating the nonlinear dynamics of olfactory cortex.

Network: 5, 47-60

Ekeberg Ö. (1993):

A combined neuronal and mechanical model of fish swimming.

Biol. Cybern.: 69, 363-374

Ekeberg Ö. (1993):

Neural control of vertebrate locomotion: a computer simulation study.

Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden June 1-3 , pages 375-378 .

Ekeberg Ö. (1993):

Response properties of a population of neurons.

Int. J. Neural Systems: 4, 1-13

Elenius K. and Tråvén H. (1993):

Multi-layer perceptrons and probabilistic neural networks for phoneme recognition.

Proc. EuroSpeech'93. Berlin .

(In press).

Fransén E., Lansner A. and Liljenström H. (1993):

A model of cortical associative memory based on Hebbian cell assemblies.

Computation and Neural Systems, (proceedings edited by Eeckman F. H. and Bower J. M.) Kluwer, Boston, MA San Francisco July 26-31, 1992 , pages 431-435 .

Grillner S., Matsushima T., Wadden T., Tegnér J., El Manira A. and Wallén P. (1993):

The neurophysiological bases of undulatory locomotion in vertebrates.

Sem. Neurosci.: 5, 17-27

Hammarlund P., Levin B. and Lansner A. (1993):

Biologically realistic and artificial neural network simulators on the Connection Machine.

Int. J. Modern Physics C: 4, 49-63

Holst A. and Lansner A. (1993):

A Bayesian neural network with extensions.

Tech. Rep. TRITA-NA-P9325 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Holst A. and Lansner A. (1993):

Diagnosis of technical equipment using a Bayesian neural network.

Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, (proceedings edited by Alspector J., Goodman R. and Brown T. X.) Lawrence Erlbaum Associates, Hillsdale Princeton, NJ, USA October 18-20 , pages 147-153 .

Holst A. and Lansner A. (1993):

A flexible and fault tolerant query-reply system based on a Bayesian neural network.

Int. J. Neural Systems: 4, 257-267

Holst A. and Lansner A. (1993):

A multi-layer extension of a Bayesian neural network.

ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, (proceedings edited by Gielen S. and Kappen B.) Springer-Verlag Amsterdam September 13-16 , pages 499 .

Lansner A. (1993):

Associative memory capabilities of an attractor network with realistic model neurons.

Proc. Neural Networks for Physicists 3 (NNP3). Univ. of Minnesota, Theortical Physics Institute, Tate Laboratory of Physics July 14-17 .

Lansner A. (1993):

Computer simulation of the lamprey swimming rhythm generator.

Proc. Neural Networks for Physicists 3 (NNP3). Univ. of Minnesota, Theortical Physics Institute, Tate Laboratory of Physics July 14-17 .

Lansner A. (1993):

Models of the lamprey locomotor system.

Proc. Symp. Organisation et Processus dans les Systemes Biologiques. l'Academie des Sciences, Institute de France Paris May 26-28 , pages 3-11 .

Lansner A. (1993):

Towards ANS-based goal-oriented control of autonomous systems.

Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden June 1-3 , pages 189-196 .

Levin B. and Lansner A. (1993):

Document retrieval and protein sequence matching using a neural network.

ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, (proceedings edited by Gielen S. and Kappen B.) Springer-Verlag Amsterdam September 13-16 , pages 511 .

Liljenström H. and Hasselmo M. (1993):

Acetylcholine and cortical oscillatory dynamics.

Computation and Neural Systems, (proceedings edited by Eeckman F. H. and Bower J. M.) Kluwer, Boston, MA San Francisco July 26-31, 1992 , pages 523-530 .

Liljenström H. and Wu X. (1993):

Simulated neuromodulatory effects on the nonlinear dynamics of olfactory cortex.

Proc. of Int. Joint Conf. on Neural Networks. Nagoya, Japan October 25-29 , pages 81-84 .

Matsushima T., Tegnér J., Hill R. and Grillner S. (1993):

\(GABA_B\) receptor activation causes a depression of low- and high-voltage-activated \(Ca^2+\) currents, postinhibitory rebound, and postspike afterhyperpolarization in lamprey neurons.

J. Neurophysiol.: 70, 2606-2619

Mielniczuk J. and Tyrcha J. (1993):

Consistency of multilayer perceptron regression estimators.

Neural Networks: 6, 1019-1022

Näslund O. (1993):

Igenkänning av handritade förbandssymboler.

TRITA-NA-E9303, In Swedish.

Öhman M. (1993):

Induktiva metoder och neuronnät för klassificeringsproblem [Inductive methods and neural networks for classification problems].

TRITA-NA-E9336, In Swedish.

Orre R. (1993):

Multi module ANN simulator for MIMD architecture.

Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden June 1-3 , pages 85-88 .

Orre R. and Lansner A. (1993):

Process modelling using artificial neural networks.

ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, (proceedings edited by Gielen S. and Kappen B.) Elsevier Amsterdam September 13-16 , pages 862 .

Tegnér J., Matsushima T., El Manira A. and Grillner S. (1993):

The spinal GABA system modulates burst frequency and intersegmental coordination in the lamprey: differential effects of \(GABA_A\) and \(GABA_B\) receptors.

J. Neurophysiol.: 69, 647-657

Tråvén H. (1993):

Invariance constraints for improving generalization in probabilistic neural networks.

Proc. IEEE ICNN'93. San Francisco , pages Vol. III, 1348-1353 .

Tråvén H. (1993):

On pattern recognition applications of artificial neural networks.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9318.

Tråvén H., Brodin L., Lansner A., Ekeberg Ö., Wallén P. and Grillner S. (1993):

Computer simulations of NMDA and non-NMDA receptor-mediated synaptic drive - sensory and supraspinal modulation of neurons and small networks.

J. Neurophysiol.: 70, 695-709

Tyrcha J. (1993):

Analysis and varibale selection in principal component analysis and linear regression.

Tech. rep. Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Wadden T., Ekeberg Ö. and Lansner A. (1993):

Towards ANN based control of simulated legged locomotion.

Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden June 1-3 , pages 379-382 .

Wadden T., Grillner S., Matsushima T. and Lansner A. (1993):

Undulatory locomotion-simulations with realistic segmental oscillators.

Computation and Neural Systems, (proceedings edited by Eeckman F. M. and Bower J. M.) Kluwer, Boston, MA San Francisco July 26-31, 1992 , pages 301-306 .

Ekeberg Ö. (1992):

Computer simulation techniques in the study of neural systems.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-P9232.

Ekeberg Ö., Stensmo M. and Lansner A. (1992):

SWIM - A simulator for biologically realistic simulations of neural networks.

Hammarlund P. and Lansner A. (1992):

Implementation of very large recurrent ANN on massively parallel SIMD computers.

Artificial Neural Networks, (proceedings edited by Alexander I. and Taylor J.) Springer-Verlag Brighton, United Kingdom September 4-7 , pages 1287-1290 .

Proc. ICANN'92.

Hellgren J., Grillner S. and Lansner A. (1992):

Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons.

Biol. Cybern.: 68, 1-13

Holst A. (1992):

Ytterligare strategier för frågegenerering i ett fråga-svarssystem baserat på ett enlagers neuronnät [Further question generation strategies in a query-reply system based on a one-layer neural network].

Tech. Rep. TRITA-NA-P9206 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Holst A. and Lansner A. (1992):

Feldiagnos baserad på artificiella neuronnät. Lägesrapport avseende hösten 1992.

Tech. rep. Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Holst A. and Lansner A. (1992):

Klassificering av fel i teknisk utrustning. Lägesrapport avseende våren 1992.

Tech. rep. Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Lansner A. (1992):

Med konnektionism mot en kognitiv revolution.

In Swedish.

Lansner A. and Fransén E. (1992):

Modeling Hebbian cell assemblies comprised of cortical neurons.

Network: 3, 105-119

Levin B. and Lansner A. (1992):

Document retrieval, protein sequence matching and sensor selection methods using a neural network.

Tech. Rep. TRITA-NA-P9238 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Liljenström H. (1992):

Complex dynamics in a realistic neural network model.

Proc. Second Int. Conference on Fuzzy Logic and Neural Networks. Iizuka, Japan July 17-22 , pages 897-900 .

(Invited paper).

Liljenström H. and Lansner A. (1992):

SANS, Studies of artificial neural systems annual progress report 1992.

Tech. Rep. TRITA-NA-P9236 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Orre R. and Lansner A. (1992):

A Bayesian network for temporal segmentation.

Artificial Neural Networks, (proceedings edited by Alexander I. and Taylor J.) Elsevier Amsterdam September 4-7 , pages 1081-1084 .

Proc. ICANN'92, Brighton, United Kingdom.

Orre R. and Lansner A. (1992):

A study of process modelling using artificial neural networks.

Tech. Rep. TRITA-NA-P9239 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Valigi R. (1992):

Modelling word naming with a recurrent artificial neural network architecture.

Tech. Rep. TRITA-NA-P9230 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Wallén P., Ekeberg Ö., Lansner A., Brodin L., Tråvén H. and Grillner S. (1992):

A computer-based model for realistic simulations of neural networks. II: The segmental network generating locomotor rhythmicity in the lamprey.

J. Neurophysiol.: 68, 1939-1950

Brodin L., Tråvén H., Lansner A., Wallén P., Ekeberg Ö. and Grillner S. (1991):

Computer simulations of N-methyl-D-aspartate (NMDA) receptor induced membrane properties in a neuron model.

J. Neurophysiol.: 66, 473-484

Duchateau G. and Lansner A. (1991):

A Bayesian artificial neural network with spiking units.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 525-530 .

Proc. ICANN-91.

Ekeberg Ö., Stensmo M., Tråvén H., Levin B., Hammarlund P. and Lansner A. (1991):

Tools for biologically realistic simulations of neural networks.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 1439-1442 .

Proc. ICANN-91.

Ekeberg Ö., Wallén P., Lansner A., Tråvén H., Brodin L. and Grillner S. (1991):

A computer based model for realistic simulations of neural networks. I: The single neuron and synaptic interaction.

Biol. Cybern.: 65, 81-90

Erhardsson T. (1991):

Creating sparse, distributed and decorrelated binary codes by means of feature-detecting artificial neural networks.

TRITA-NA-E9186.

Grillner S., Wallén P., Brodin L. and Lansner A. (1991):

The neuronal network generating locomotor behavior in lamprey - circuitry, transmitters, membrane properties, and simulation.

Ann. Rev. Neurosci.: 14, 169-199

Gustafsson E. (1991):

Undersökning av möjligheten att använda artificiella neurala nät för feldiagnostik inom telekommunikation [Investigation of the possibility to use neural networks for fault diagnosis in telecommunications].

In Swedish.

Hammarlund P., Levin B. and Lansner A. (1991):

BIOSIM - A program for biologically realistic neural network simulations on the Connection Machine.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 1477-1480 .

Proc. ICANN-91.

Holst A. and Lansner A. (1991):

Klassificering av fel i teknisk utrustning. Lägesrapport 1.

Tech. rep. Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Lansner A. et al (1991):

SANS, Studies of artificial neural systems - annual progress report.

Tech. Rep. TRITA-NA-P9126 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. (1991):

A recurrent bayesian ANN capable of extracting prototypes from unlabeled and noisy examples.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 247-254 .

Proc. ICANN-91.

Lansner A., Ekeberg Ö., Wadden T., Tråvén H., Fransén E., Grillner S., Wallén P. and Brodin L. (1991):

Examples of realistic neural network simulations.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 1431-1434 .

Proc. ICANN-91.

Lansner A., Fransén E. and c Li C. (1991):

Modeling Hebbian cell assemblies comprised of cortical neurons.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 1747-1750 .

Proc. ICANN-91.

Levin B. (1991):

Implementation of the SANS algorithm on the CM2.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 1473-1476 .

Proc. ICANN-91.

Liljenström H. (1991):

Modeling the dynamics of olfactory cortex using simplified network units and realistic architecture.

Int. J. Neural Systems: 2, 1-15

Liljenström H. (1991):

Oscillations and associative memory in a neural network model of olfactory cortex - a hands on tutorial.

(Course material).

Samuelsson M. (1991):

Klassificering av fiberkorsningar med neuronnätsteknik.

In swedish.

Sjögren P. (1991):

Extraction of significant features in long bitstrings: Implementation on the connection machine.

TRITA-NA-E9179.

Stensmo M. (1991):

A query-reply classification system based on an artificial neural network.

Licentiate degree thesis TRITA-NA-9107 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Stensmo M., Lansner A. and Levin B. (1991):

A query-reply system based on a recurrent Bayesian artificial neural network.

Artificial Neural Networks, (proceedings edited by Kohonen T., Mäkisara K., Simula O. and Kangas J.) Elsevier, Amsterdam Espoo, Finland June 24-28 , pages 459-464 .

Proc. ICANN-91.

Tråvén H. (1991):

A neural network approach to statistical pattern classification by "semiparametric" estimation of probability density functions.

IEEE Trans. Neural Networks: 2, 366-377

Wikström M., Orre R. and Lansner A. (1991):

A method for motor learning in artificial neural systems.

Proc. European Neuroscience Association (ENA) Annual Meeting. .

Cambridge, England.

Duchateau G. and Lansner A. (1990):

Learning rules for artificial neural networks with spiking units.

Tech. Rep. TRITA-NA-P9001 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Ekeberg Ö., Stensmo M. and Lansner A. (1990):

SWIM - A simulator for real neural networks.

Tech. Rep. TRITA-NA-P9014 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Fransén E. and Lansner A. (1990):

Modelling Hebbian cell assemblies comprised of cortical neurons.

Proc. Open Network Conference on Neural Mechanisms of Learning and Memory. London April , pages 4:9 .

Hammarlund P. (1990):

The massively parallel computer AAP2.

TRITA-NA-P9061.

Holst A. (1990):

En jämförelse mellan strategier för frågegenerering i ett fråga-svarssystem baserat på ett enlagers neuronnät [A comparison between question generation strategies in a query-reply system based on a one-layer neural network].

In Swedish, TRITA-NA-E9063.

Lansner A. (1990):

Computer modelling of the lamprey swimming rhythm generator.

Proc. Third Swedish-French Symposium "Trends in Neurobiology". Stockholm May .

Lansner A. et al (1990):

SANS, Studies of artificial neural systems - progress report.

Tech. Rep. TRITA-NA-P9034 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Levin B. (1990):

Implementation of the SANS algorithm on the CM-2.

Tech. Rep. TRITA-NA-P9011 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Levin B., Hammarlund P. and Lansner A. (1990):

BIOSIM - A program for biologically realistic neural network simulations on the Connection Machine.

Tech. Rep. TRITA-NA-P9021 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Orre R. and Lansner A. (1990):

A method for temporal association in Bayesian networks.

Tech. Rep. TRITA-NA-P9018 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Tråvén H. (1990):

A neural network approach to statistical pattern classification by "semiparametric" estimation of probability density functions, with applications.

Tech. Rep. TRITA-NA-P9019 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Ekeberg Ö. (1989):

Computer simulation of the segmental burst generating network in the lamprey spinal cord.

Grillner S., Christenson J., Brodin L., Wallén P., Lansner A., Hill R. and Ekeberg Ö. (1989):

The locomotor system in lamprey - neuronal mechanisms controlling spinal rhythm generation.

In: Neuronal and Cellular Oscillators, (edited by Jacklet J. W.) New York: Marcel Dekker, Inc , pages 407-434 .

Hellgren J. (1989):

A physiological and morphological study of the plasticity of primary afferent projections to the cat spinal motor nuclei following partial lumbosacral deafferentation.

Licentiate degree thesis Dept. of Anatomy University of Umeå, Umeå, Sweden .

Hellgren J. and Kellerth J.-O. (1989):

A physiological study of the monosynaptic reflex responses of cat spinal alpha-motoneurons after lumbosacral deafferentation.

Brain Res.: 488, 149-162

Lansner A. et al (1989):

SANS, Studies of artificial neural systems - progress report 1988/89.

Tech. Rep. TRITA-NA-P8907 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. and Ekeberg Ö. (1989):

A one-layer feedback, artificial neural network with a bayesian learning rule.

Lansner A. and Ekeberg Ö. (1989):

A one-layer feedback artificial neural network with a bayesian learning rule.

Int. J. Neural Systems: 1, 77-87

Lansner A., Ekeberg Ö., Tråvén H., Brodin L., Wallén P., Stensmo M. and Grillner S. (1989):

Simulation of the experimentally established segmental, supraspinal and sensory circuitry underlying locomotion in lamprey.

Soc. Neurosci. Abstr.: 15, 1049

Stensmo M., Levin B. and Lansner A. (1989):

A question driven classification system using an neural network model.

Tråvén H. (1989):

A neural network clustering algorithm and its application to multispectral satellite image classification.

Tråvén H. (1989):

A neural network clustering algorithm and its application to multispectral satellite image classification.

Proc. 6th Scand. Conf. on Image Analysis. Oulu, Finland June 19-22 , pages 128 .

Wallén P., Christenson J., Brodin L., Hill R., Lansner A. and Grillner S. (1989):

Mechanisms underlying the serotonergic modulation of the spinal circuitry for locomotion in lamprey.

Prog. Brain Res.: 80, 321-327

Ekeberg Ö. (1988):

Robust dictionary lookup using associative networks.

Int. J. Man-Machine Studies: 28, 29-43

Ekeberg Ö. and Lansner A. (1988):

Automatic generation of internal representations in a probabilistic artificial neural network.

Neural Networks from Models to Applications, (proceedings edited by Personnaz L. and Dreyfus G.) I.D.S.E.T. Paris June 6-9 , pages 178-186 .

Proc. nEuro-88, The First European Conference on Neural Networks.

Ekeberg Ö. and Levin B. (1988):

Reserapport från nEuro'88.

Tech. Rep. TRITA-NA-P8806 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Grillner S., Buchanan J. T. and Lansner A. (1988):

Simulation of the segmental burst generating network for locomotion in lamprey.

Neurosci. Lett.: 89, 31-35

Grillner S., Lansner A., Wallén P., Brodin L., Ekeberg Ö., Tråvén H. and Christenson J. (1988):

The segmental burst generating network used in lamprey locomotion - experiments and simulations.

In: Cell to Cell Signalling: From experiments to Theoretical Models, (edited by Goldbeter A.) London: Academic Press , pages 77-87 .

Lansner A. (1988):

Artificiella neuronnät: Hjärnan modell för ny dator.

In Swedish.

Lansner A. et al (1988):

SANS, Studies of artificial neural systems - progress report 1987/88.

Tech. Rep. TRITA-NA-P8811 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. (1988):

NADA 25 år. Jubileumsskrift 1963-1988.

In Swedish.

Stensmo M. (1988):

Modelling simple multiplication in a neural network.

TRITA-NA-E8879.

Tråvén H. (1988):

Temporal associative memory.

Tech. Rep. TRITA-NA-P8802 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Ekeberg Ö. (1987):

Associative networks I: A Bayesian learning rule.

Cybernetics and Systems: The Way Ahead, (proceedings edited by Rose J.) Thales, Lytham St. Annes, Great Britain London , pages 410-412 .

Proc. Seventh International Congress of Cybernetics and Systems, London Sept. 7-11.

Hellgren J. and Kellerth J. (1987):

Reflex plasticity following lesion of afferent input versus target neurons.

Suppl. Neurosci.: 22, 221

Lansner A. (1987):

Associative networks II: Complex nodes.

Cybernetics and Systems: The Way Ahead, (proceedings edited by Rose J.) Thales, Lytham St. Annes, Great Britain London , pages 413-415 .

Proc. Seventh International Congress of Cybernetics and Systems, London Sept. 7-11.

Lansner A. and Ekeberg Ö. (1987):

An associative network solving the ``4-Bit ADDER problem''.

IEEE First International Conference on Neural Networks, (proceedings edited by Caudill M. and Butler C.) San Diego, CA June 21-24 , pages II-549 .

Lansner A. and Ekeberg Ö. (1987):

Reserapport från IEEE first annual international conference on neural networks.

Tech. Rep. TRITA-NA-P8711 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

In Swedish.

Eklundh J.-O., Lansner A. and Wessblad R. (1986):

Multi-spectral classification using associative nets.

Proc. Eighth ICPR. Paris October 27-31 , pages 1240-1243 .

Lansner A. (1986):

Investigations into the pattern processing capabilities of associative nets.

PhD thesis Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

TRITA-NA-8601.

Lansner A. (1985):

Associative processing in brain theory and artificial intelligence.

Brain Theory, (proceedings edited by Palm G. and Aertsen A.) Proc. First Trieste Meeting on Brain Theory Springer, Berlin Trieste October 1-4 .

Lansner A. (1985):

Pattern processing in a multi-layer associative net.

Proc. Fourth Scand. Conf. on Image Analysis. TAPIR Trondheim, Norway , pages 753-760 .

Lansner A. (1985):

Prototype extraction and matching in associative nets.

Tech. Rep. TRITA-NA-8516 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. and Ekeberg Ö. (1985):

Reliability and speed of recall in an associative network.

IEEE Trans. Pattern Analysis and Machine Intelligence: 7, 490-498

Wallén P. and Lansner A. (1984):

Do the motoneurons constitute a part of the spinal network generating the swimming rhythm in the lamprey.

J. Exp. Biol.: 113, 493-497

Lansner A. (1983):

Pattern recognition in an adaptive associative network.

Proc. First ESSCS Workshop in Cognitive Systems. NoordWijkerhout, Holland .

Lansner A. and Ekeberg Ö. (1983):

A program package implementing a system of interacting adaptive associative networks.

Tech. Rep. TRITA-NA-8302 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. (1982):

Information processing in a network of model neurons. A computer simulation study.

Tech. Rep. TRITA-NA-8211 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

Lansner A. (1980):

The neuronal pool as a functional unit in the CNS.

Tech. Rep. TRITA-NA-8009 Dept. of Numerical Analysis and Computing Science Royal Institute of Technology, Stockholm, Sweden .

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