Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.

Although the primary function of excitatory-inhibitory (E-I) homeostasis is the maintenance of mean firing rates, the conjugation of multiple homeostatic mechanisms is thought to be pivotal to ensuring edge-of-bifurcation dynamics in cortical circuits. However, computational studies on E-I homeostas...

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Main Authors: Francisco Páscoa Dos Santos, Paul F M J Verschure
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1012723
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author Francisco Páscoa Dos Santos
Paul F M J Verschure
author_facet Francisco Páscoa Dos Santos
Paul F M J Verschure
author_sort Francisco Páscoa Dos Santos
collection DOAJ
description Although the primary function of excitatory-inhibitory (E-I) homeostasis is the maintenance of mean firing rates, the conjugation of multiple homeostatic mechanisms is thought to be pivotal to ensuring edge-of-bifurcation dynamics in cortical circuits. However, computational studies on E-I homeostasis have focused solely on the plasticity of inhibition, neglecting the impact of different modes of E-I homeostasis on cortical dynamics. Therefore, we investigate how the diverse mechanisms of E-I homeostasis employed by cortical networks shape oscillations and edge-of-bifurcation dynamics. Using the Wilson-Cowan model, we explore how distinct modes of E-I homeostasis maintain stable firing rates in models with varying levels of input and how it affects circuit dynamics. Our results confirm that E-I homeostasis can be leveraged to control edge-of-bifurcation dynamics and that some modes of homeostasis maintain mean firing rates under higher levels of input by modulating the distance to the bifurcation. Additionally, relying on multiple modes of homeostasis ensures stable activity while keeping oscillation frequencies within a physiological range. Our findings tie relevant features of cortical networks, such as E-I balance, the generation of gamma oscillations, and edge-of-bifurcation dynamics, under the framework of firing-rate homeostasis, providing a mechanistic explanation for the heterogeneity in the distance to the bifurcation found across cortical areas. In addition, we reveal the functional benefits of relying upon different homeostatic mechanisms, providing a robust method to regulate network dynamics with minimal perturbation to the generation of gamma rhythms and explaining the correlation between inhibition and gamma frequencies found in cortical networks.
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spelling doaj-art-0de804cbbbba485f9447e26d1cf8b59a2025-02-05T05:30:39ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-01-01211e101272310.1371/journal.pcbi.1012723Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.Francisco Páscoa Dos SantosPaul F M J VerschureAlthough the primary function of excitatory-inhibitory (E-I) homeostasis is the maintenance of mean firing rates, the conjugation of multiple homeostatic mechanisms is thought to be pivotal to ensuring edge-of-bifurcation dynamics in cortical circuits. However, computational studies on E-I homeostasis have focused solely on the plasticity of inhibition, neglecting the impact of different modes of E-I homeostasis on cortical dynamics. Therefore, we investigate how the diverse mechanisms of E-I homeostasis employed by cortical networks shape oscillations and edge-of-bifurcation dynamics. Using the Wilson-Cowan model, we explore how distinct modes of E-I homeostasis maintain stable firing rates in models with varying levels of input and how it affects circuit dynamics. Our results confirm that E-I homeostasis can be leveraged to control edge-of-bifurcation dynamics and that some modes of homeostasis maintain mean firing rates under higher levels of input by modulating the distance to the bifurcation. Additionally, relying on multiple modes of homeostasis ensures stable activity while keeping oscillation frequencies within a physiological range. Our findings tie relevant features of cortical networks, such as E-I balance, the generation of gamma oscillations, and edge-of-bifurcation dynamics, under the framework of firing-rate homeostasis, providing a mechanistic explanation for the heterogeneity in the distance to the bifurcation found across cortical areas. In addition, we reveal the functional benefits of relying upon different homeostatic mechanisms, providing a robust method to regulate network dynamics with minimal perturbation to the generation of gamma rhythms and explaining the correlation between inhibition and gamma frequencies found in cortical networks.https://doi.org/10.1371/journal.pcbi.1012723
spellingShingle Francisco Páscoa Dos Santos
Paul F M J Verschure
Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
PLoS Computational Biology
title Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
title_full Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
title_fullStr Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
title_full_unstemmed Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
title_short Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
title_sort excitatory inhibitory homeostasis and bifurcation control in the wilson cowan model of cortical dynamics
url https://doi.org/10.1371/journal.pcbi.1012723
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AT paulfmjverschure excitatoryinhibitoryhomeostasisandbifurcationcontrolinthewilsoncowanmodelofcorticaldynamics