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Published in 2023 at "Chaos"
DOI: 10.1063/5.0144682
Abstract: Nonlinear dynamical systems describe neural activity at various scales and are frequently used to study brain functions and the impact of external perturbations. Here, we explore methods from optimal control theory (OCT) to study efficient,…
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Keywords:
control;
wilson cowan;
activity;
model ... See more keywords
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Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.034404
Abstract: We study a stochastic version of the Wilson-Cowan model of neural dynamics, where the response function of neurons grows faster than linearly above the threshold. The model shows a region of parameters where two attractive…
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Keywords:
cowan model;
activity;
wilson cowan;
model ... See more keywords
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Published in 2019 at "Journal of neurophysiology"
DOI: 10.1152/jn.00323.2019
Abstract: The Wilson-Cowan equations were originally shown to produce limit cycle oscillations for a range of parameters. Others subsequently showed that two coupled Wilson-Cowan oscillators could produce chaos, especially if the oscillator coupling was from inhibitory…
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Keywords:
oscillator circuits;
cowan oscillator;
cowan;
hyperchaos wilson ... See more keywords
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Published in 2020 at "Journal of neurophysiology"
DOI: 10.1152/jn.00404.2019
Abstract: The Wilson-Cowan equations represent a landmark in the history of computational neuroscience. Among the insights Wilson and Cowan offered for neuroscience, they crystallized an approach to modeling neural dynamics and brain function. Although their iconic…
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Keywords:
cowan equations;
wilson cowan;
beyond wilson;
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Published in 2020 at "Journal of neurophysiology"
DOI: 10.1152/jn.00488.2019
Abstract: In this work we have aimed to reproduce supra-threshold perception phenomena, specifically visual illusions, with Wilson-Cowan-type models of neuronal dynamics. We have found that it is indeed possible to do so, but that the ability…
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Keywords:
visual illusions;
representation principle;
wilson cowan;
efficient representation ... See more keywords
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Published in 2023 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2023.1017075
Abstract: Frequency-dependent plasticity refers to changes in synaptic strength in response to different stimulation frequencies. Resonance is a factor known to be of importance in such frequency dependence, however, the role of neural noise in the…
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Keywords:
noise;
wilson cowan;
plasticity;
based model ... See more keywords