year | 2015 |
author(s) | Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel and Karlheinz Meier |
title | The high-conductance state enables neural sampling in networks of LIF neurons |
KIP-Nummer | HD-KIP 15-94 |
KIP-Gruppe(n) | F9 |
document type | Paper |
Keywords (shown) | spiking neural networks, neural response function, MCMC sampling, high-conductance state |
source | BMC Neuroscience 2015, 16(Suppl 1):O2 |
doi | doi:10.1186/1471-2202-16-S1-O2 |
Abstract (en) | The apparent stochasticity of in-vivo neural circuits has long been hypothesized to represent a signature of ongoing stochastic inference in the brain. 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. One particular requirement of this approach is that the neural response function closely follows a logistic curve. |
bibtex | @conference{petrovici2015hcs, author = {Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel and Karlheinz Meier}, title = {The high-conductance state enables neural sampling in networks of LIF neurons}, booktitle = {}, year = {2015}, volume = {16}, pages = {Suppl 1: O2}, month = {December} } |
Datei | extended abstract |
URL | BMC short abstract |
URL | Online Access |