Literature DB >> 19662434

The Wilson-Cowan model, 36 years later.

Alain Destexhe1, Terrence J Sejnowski.   

Abstract

The Wilson-Cowan model of interacting neurons (1973) is one of the most influential papers published in Biological Cybernetics (Kybernetik). This paper and a companion paper published in 1972 have been cited over 1000 times. Rather than focus on the microscopic properties of neurons, Wilson and Cowan analyzed the collective properties of large numbers of neurons using methods from statistical mechanics, based on the mean-field approach. New experimental techniques to measure neuronal activity at the level of large populations are now available to test these models, including optical recording of brain activity with intrinsic signals and voltage sensitive dyes, and new methods for analyzing EEG and MEG. These measurement techniques have revealed patterns of coherent activity that span centimetres of tissue in the cerebral cortex. Here the underlying ideas are reviewed in a historic context.

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Year:  2009        PMID: 19662434      PMCID: PMC2866289          DOI: 10.1007/s00422-009-0328-3

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  25 in total

1.  Dynamics of the firing probability of noisy integrate-and-fire neurons.

Authors:  Nicolas Fourcaud; Nicolas Brunel
Journal:  Neural Comput       Date:  2002-09       Impact factor: 2.026

2.  Neuronal integration of synaptic input in the fluctuation-driven regime.

Authors:  Alexandre Kuhn; Ad Aertsen; Stefan Rotter
Journal:  J Neurosci       Date:  2004-03-10       Impact factor: 6.167

3.  Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses.

Authors:  Rubén Moreno-Bote; Néstor Parga
Journal:  Phys Rev Lett       Date:  2006-01-17       Impact factor: 9.161

4.  Chaos in neuronal networks with balanced excitatory and inhibitory activity.

Authors:  C van Vreeswijk; H Sompolinsky
Journal:  Science       Date:  1996-12-06       Impact factor: 47.728

5.  Chaotic balanced state in a model of cortical circuits.

Authors:  C van Vreeswijk; H Sompolinsky
Journal:  Neural Comput       Date:  1998-08-15       Impact factor: 2.026

6.  Asynchronous states in networks of pulse-coupled oscillators.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1993-08

7.  Master-equation approach to stochastic neurodynamics.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1993-09

8.  Excitatory and inhibitory interactions in localized populations of model neurons.

Authors:  H R Wilson; J D Cowan
Journal:  Biophys J       Date:  1972-01       Impact factor: 4.033

9.  A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue.

Authors:  H R Wilson; J D Cowan
Journal:  Kybernetik       Date:  1973-09

10.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

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  36 in total

1.  Patterned perturbation of inhibition can reveal the dynamical structure of neural processing.

Authors:  Sadra Sadeh; Claudia Clopath
Journal:  Elife       Date:  2020-02-19       Impact factor: 8.140

2.  Role of paroxysmal depolarization in focal seizure activity.

Authors:  Andrew K Tryba; Edward M Merricks; Somin Lee; Tuan Pham; SungJun Cho; Douglas R Nordli; Tahra L Eissa; Robert R Goodman; Guy M McKhann; Ronald G Emerson; Catherine A Schevon; Wim van Drongelen
Journal:  J Neurophysiol       Date:  2019-08-28       Impact factor: 2.714

3.  Inferring evoked brain connectivity through adaptive perturbation.

Authors:  Kyle Q Lepage; ShiNung Ching; Mark A Kramer
Journal:  J Comput Neurosci       Date:  2012-09-19       Impact factor: 1.621

4.  Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics.

Authors:  Alberto Romagnoni; Matthew T Colonnese; Jonathan D Touboul; Boris S Gutkin
Journal:  J Neurophysiol       Date:  2020-02-12       Impact factor: 2.714

5.  Cross-scale effects of neural interactions during human neocortical seizure activity.

Authors:  Tahra L Eissa; Koen Dijkstra; Christoph Brune; Ronald G Emerson; Michel J A M van Putten; Robert R Goodman; Guy M McKhann; Catherine A Schevon; Wim van Drongelen; Stephan A van Gils
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-18       Impact factor: 11.205

Review 6.  High-frequency neural activity and human cognition: past, present and possible future of intracranial EEG research.

Authors:  Jean-Philippe Lachaux; Nikolai Axmacher; Florian Mormann; Eric Halgren; Nathan E Crone
Journal:  Prog Neurobiol       Date:  2012-06-26       Impact factor: 11.685

7.  Evolution of the Wilson-Cowan equations.

Authors:  Hugh R Wilson; Jack D Cowan
Journal:  Biol Cybern       Date:  2021-12       Impact factor: 2.086

8.  Role of sensory input distribution and intrinsic connectivity in lateral amygdala during auditory fear conditioning: a computational study.

Authors:  J M Ball; A M Hummos; S S Nair
Journal:  Neuroscience       Date:  2012-08-21       Impact factor: 3.590

9.  Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.

Authors:  Victoria A Webster-Wood; Jeffrey P Gill; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2020-12-10       Impact factor: 2.086

10.  The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks.

Authors:  Isam Al-Darabsah; Liang Chen; Wilten Nicola; Sue Ann Campbell
Journal:  Front Syst Neurosci       Date:  2021-07-05
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