Neural network dynamics

Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which...

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Bibliographic Details
Published inAnnual review of neuroscience Vol. 28; no. 1; pp. 357 - 376
Main Authors VOGELS, Tim P, RAJAN, Kanaka, ABBOTT, L. F
Format Journal Article
LanguageEnglish
Published Palo Alto, CA Annual Reviews 01.01.2005
Annual Reviews, Inc
Subjects
Action Potentials - physiology
Animals
Biological and medical sciences
Cognition & reasoning
Fundamental and applied biological sciences. Psychology
General aspects. Models. Methods
Humans
Nerve Net - physiology
Neural Networks (Computer)
Neurology
Neurons
Nonlinear Dynamics
Signal Processing, Computer-Assisted
Time Factors
Vertebrates: nervous system and sense organs
sustained activity
balance
signal propagation
Dynamics
Memory
Review
Neural network
states
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Summary:Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory network activity; and (c) chaotic activity, which models complex patterns of background spiking in cortical and other circuits. We also review propagation of stimulus-driven activity through spontaneously active networks. Exploring these aspects of neural network dynamics is critical for understanding how neural circuits produce cognitive function.
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ISSN:0147-006X
1545-4126
DOI:10.1146/annurev.neuro.28.061604.135637