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Effects of dynamic network states of the LIF model on the simulated LFP signal.

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posted on 17.12.2015, 08:09 authored by Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll

(A) Raster plots of 50 interneurons (blue, top) and 200 pyramidal neurons (red, bottom). Neurons displayed are those with the highest number of spikes fired in the considered interval. Each panel corresponds to a different stimulation frequency: from left to right: 0.5 spikes/ms, 1.5 spikes/ms (the stimulation used in Figs 14), 6 spikes/ms. Note that in the selected interval all pyramidal neurons and most interneurons were silent for 0.5 spikes/ms stimulation. (B) LFP signal (black line) for 100 μm depth and corresponding best fit with the WS proxy (red) for these three stimulation frequencies. The titles show the fraction of variance explained over the whole 10 second simulation period. Note the different vertical scales. (C) Average fraction of LFP variance explained over all depths by different proxies for different thalamic input frequencies. Error bars are not displayed since they would not be visible in the figure. Same proxy arrangement as Fig 5C. (D) Mean and standard deviation across depths of optimal coefficients of α in the WS proxy as a function of thalamic input. Dashed line indicates the fixed coefficient of the RWS proxy.

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