Attractor networks.
An attractor network is a network of neurons with excitatory interconnections that can settle into a stable pattern of firing. This article shows how attractor networks in the cerebral cortex are important for long-term memory, short-term memory, attention, and decision making. The article then shows how the random firing of neurons can influence the stability of these networks by introducing stochastic noise, and how these effects are involved in probabilistic decision making, and implicated in some disorders of cortical function such as poor short-term memory and attention, schizophrenia, and obsessive-compulsive disorder. Copyright © 2009 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website.
Oxford Centre for Computational Neuroscience, Oxford, UK.
Edmund T
ET
Rolls