KTH / CSC / Research / Computational Biology / Staff

Henrik Lindén

I have moved to Copenhagen - please see my new webpage!

I am working as a postdoc in the group of Anders Lansner. Before coming here I did my PhD with Gaute Einevoll in the Computational Neuroscience Group at the Norwegian University of Life Sciences (UMB).

Address
Department of Computational Biology,
School of Computer Science and Communication,
Royal Institute of Technology (KTH),
S-10044, Stockholm, Sweden

Visiting address
Roslagstullsbacken 35, room 162:003

Contact
helinden (at) kth (dot) se

Education

2010: PhD in Physics (Computational Neuroscience), Norwegian University of Life Sciences, Ås, Norway

2006: MSc in Engineering Physics and Complex Adaptive Systems, Chalmers University of Technology, Gothenburg, Sweden

Papers

- Łęski S, Lindén H., Tetzlaff T, Pettersen KH, Einevoll GT (2013)
    Frequency dependence of signal power and spatial reach of the local field potential.
    PLoS Computational Biology 9(7): e1003137 (link)

- Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, and Einevoll GT (2011)
    Modeling the spatial reach of the LFP.
    Neuron 72:859-872 (link),
    [Highlighted in Nature Reviews Neuroscience: link]

- Denker M, Roux S, Lindén H, Diesmann M, Riehle A, and Grün S (2011)
    The local field potential reflects surplus spike synchrony.
    Cerebral Cortex 21:2681-95 (link)

- Etholm L, Lindén H, Eken T, and Heggelund P (2011)
    Electroencephalographic characterization of seizure activity in the Synapsin I/II double knockout mouse.
    Brain Research 1383:270-288 (link)

- Franke F, Natora M, Meier P, Hagen E, Pettersen KH, Lindén H, Einevoll GT, and Obermayer K (2010)
    An automated online positioning system and simulation environment for multi-electrodes in extracellular recordings.
    in Proceedings of the 32nd Annual International IEEE EMBC Conference, Buenos Aires, Argentina (reprint)

- Lindén H, Pettersen KH, and Einevoll GT (2010)
    Intrinsic dendritic ﬁltering gives low-pass power spectra of local ﬁeld potentials.
    Journal of Computational Neuroscience 29:423-444 (link)
    [For this work put in context see Buzsáki et al. 2012]

Book chapters

- Einevoll GT, Lindén H, Tetzlaff T, Łęski S, Pettersen K (2013)
    Local field potentials: biophysical origin and analysis,
    in Quiroga & Panzeri (ed.), Principles of Neural Coding, Taylor &Francis, ISBN: 9781439853306. (link)

- Pettersen KH, Lindén H, Dale AM, and Einevoll GT (2012)
    Extracellular spikes and current-source density, (preprint PDF, 5.7MB)
    in Brette & Destexhe (ed.), Handbook of Neural Activity Measurement, Cambridge University Press

Software

- LFPy: A Python package for simulation of extracellular field potentials that runs on top of the NEURON
   simulator. Available for download at http://compneuro.umb.no/LFPy/ (including installation instructions and
   example scripts)