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The Noisy BrainStochastic Dynamics as a Principle of Brain Function$
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Edmund T. Rolls and Gustavo Deco

Print publication date: 2010

Print ISBN-13: 9780199587865

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780199587865.001.0001

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Stochastic neurodynamics

Stochastic neurodynamics

Chapter:
(p.65) 2 Stochastic neurodynamics
Source:
The Noisy Brain
Author(s):

Edmund T. Rolls

Gustavo Deco

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199587865.003.0002

This chapter discusses a computational approach to brain function in which the effects of noise on the operation of attractor networks involved in short-term memory, attention, and decision making are described. It focuses on integrate-and-fire models of brain and cognitive function that incorporate the stochastic spiking-related dynamics and mean-field analyses that are consistent in terms of the parameters with these, but allow formal analysis of the networks.

Keywords:   noise, attractor networks, spiking, stochastics, decision making

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