Untitled - Laboratory of Neurophysics and Physiology

• a scheme for biophysically detailed modeling of extracellular potentials and the application to
modeling single spikes [1-3], MUA [4] and LFP, both from single neurons [5] and populations
of neurons [4,6], and
• methods for
– estimation of current-source density [7] from LFP data, such as the iCSD [8-10] and kCSD
methods [11], and
– decomposition of recorded signals in cortex into contributions from various laminar populations,
i.e., (i) laminar population analysis (LPA) [12] based on joint modeling of LFP
and MUA, and (ii) a novel scheme using LFP and known constraints on the synaptic
connections [13]
In the second part, the participants will get demonstrations and hands-on experience with
• LFPy (compneuro.umb.no/LFPy), a versatile tool based on Python and the simulation program
NEURON [14] (www.neuron.yale.edu) for calculation of extracellular potentials around
neurons, and
• tools for iCSD analysis, in particular,
References:
– CSDplotter (for linear multielectrodes [8]) (software.incf.org/software/csdplotter)
– iCSD 2D (for 2D multishank electrodes [10]) (software.incf.org/software/icsd-2d)
[1] Holt & Koch (1999), J Comp Neurosci 6:169
[2] Gold et al. (2006), J Neurophysiol 95:3113
[3] Pettersen & Einevoll (2008), Biophys J 94:784
[4] Pettersen et al. (2008), J Comp Neurosci 24:291
[5] Lindén et al. (2010), J Comp Neurosci 29: 423
[6] Lindén et al. (2011), Neuron 72:859
[7] Nicholson & Freeman (1975), J Neurophsyiol 38:356
[8] Pettersen et al. (2006), J Neurosci Meth 154:116
[9] Łȩski et al. (2007), Neuroinform 5:207
[10] Łȩski et al. (2011), Neuroinform 9:401
[11] Potworowski et al. (2012), Neural Comp 24:541
[12] Einevoll et al. (2007), J Neurophysiol 97:2174
[13] Gratiy et al. (2011), Front Neuroinf 5:32
[14] Hines et al. (2009), Front Neuroinf 3:1
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