Emergence and fragmentation of the alpha-band driven by neuronal network dynamics
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- dc.contributor.author Zonca, Lou
- dc.contributor.author Holcman, David
- dc.date.accessioned 2025-10-07T10:29:13Z
- dc.date.available 2025-10-07T10:29:13Z
- dc.date.issued 2021
- dc.date.updated 2025-10-07T10:29:13Z
- dc.description.abstract Rhythmic neuronal network activity underlies brain oscillations. To investigate how connected neuronal networks contribute to the emergence of the band and to the regulation of Up and Down states, we study a model based on synaptic short-term depression-facilitation with afterhyperpolarization (AHP). We found that the band is generated by the network behavior near the attractor of the Up-state. Coupling inhibitory and excitatory networks by reciprocal connections leads to the emergence of a stable band during the Up states, as reflected in the spectrogram. To better characterize the emergence and stability of thalamocortical oscillations containing and rhythms during anesthesia, we model the interaction of two excitatory networks with one inhibitory network, showing that this minimal topology underlies the generation of a persistent band in the neuronal voltage characterized by dominant Up over Down states. Finally, we show that the emergence of the band appears when external inputs are suppressed, while fragmentation occurs at small synaptic noise or with increasing inhibitory inputs. To conclude, oscillations could result from the synaptic dynamics of interacting excitatory neuronal networks with and without AHP, a principle that could apply to other rhythms.
- dc.description.sponsorship LZ received salary from the FRM (FDT202012010690). This project received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 882673) and from ANR-NEUC 0001. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- dc.format.mimetype application/pdf
- dc.identifier.citation Zonca L, Holcman D. Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. PLoS Comput Biol. 2021;17(12):e1009639. DOI: 10.1371/JOURNAL.PCBI.1009639
- dc.identifier.doi http://dx.doi.org/10.1371/JOURNAL.PCBI.1009639
- dc.identifier.issn 1553-734X
- dc.identifier.uri http://hdl.handle.net/10230/71428
- dc.language.iso eng
- dc.publisher Public Library of Science (PLoS)
- dc.relation.ispartof PLoS Computational Biology. 2021;17(12):e1009639
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/882673
- dc.rights © 2021 Zonca, Holcman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Xarxes neuronals (Neurobiologia)
- dc.title Emergence and fragmentation of the alpha-band driven by neuronal network dynamics
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion