Thermodynamics and signatures of criticality in a network of neurons

The activity of a neural network is defined by patterns of spiking and silence from the individual neurons. Because spikes are (relatively) sparse, patterns of activity with increasing numbers of spikes are less probable, but, with more spikes, the number of possible patterns increases. This tradeof...

Full description

Saved in:

Bibliographic Details
Published in:	Proceedings of the National Academy of Sciences - PNAS Vol. 112; no. 37; p. 11508
Main Authors:	Tkačik, Gašper, Mora, Thierry, Marre, Olivier, Amodei, Dario, Palmer, Stephanie E, Berry, 2nd, Michael J, Bialek, William
Format:	Journal Article
Language:	English
Published:	United States 15.09.2015
Subjects:	Algorithms Animals Brain - physiology Caudata Entropy Hot Temperature Models, Neurological Models, Statistical Monte Carlo Method Nerve Net Neurons - physiology Probability Reproducibility of Results Retina - physiology Thermodynamics information entropy Monte Carlo correlation neural networks
ISSN:	1091-6490, 1091-6490
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!