The high-conductance state enables neural sampling in networks of LIF neurons


The apparent stochasticity of in-vivo neural circuits has long been hypothesized to represent a signature of ongoing stochastic inference in the brain [1-3]. More recently, a theoretical framework for neural sampling has been proposed, which explains how sample-based inference can be performed by networks of spiking neurons [4,5]. One particular requirement… (More)
DOI: 10.1186/1471-2202-16-S1-O2


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