Stochasticity from function — Why the Bayesian brain may need no noise-Reference-Cited by-同舟云学术

Stochasticity from function — Why the Bayesian brain may need no noise

Published:2019-11 Issue: Volume:119 Page:200-213
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Dold Dominik,Bytschok Ilja,Kungl Akos F.^ORCID,Baumbach Andreas^ORCID,Breitwieser Oliver^ORCID,Senn Walter,Schemmel Johannes^ORCID,Meier Karlheinz,Petrovici Mihai A.

Funder

European Union 7th Framework Programme

Horizon 2020 Framework Programme

Manfred Stärk Foundation, Germany

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference84 articles.

1. A learning algorithm for Boltzmann machines;Ackley;Cognitive Science,1985

2. The Hamiltonian brain: efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics;Aitchison;PLoS Computational Biology,2016

3. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses;Arieli;Science,1996

4. Neural correlations, population coding and computation;Averbeck;Nature Reviews Neuroscience,2006

5. Cellular mechanisms contributing to response variability of cortical neurons in vivo;Azouz;Journal of Neuroscience,1999

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