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Title:Inhibitory synaptic timescales drive oscillatory regime transitions in recurrent excitatory-inhibitory networks
Authors:ID Kheiri, Siamak (Author)
ID Taghavi, Saeed (Author)
ID Perc, Matjaž (Author)
ID Valizadeh, Alireza (Author)
Files:.pdf RAZ_Kheiri_Siamak_2026.pdf (5,70 MB)
MD5: 492F87A9D834DC6BBF9AD1F4FBAADC5C
 
URL https://doi.org/10.1103/zmn7-7kf6
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:In recurrent cortical networks, inhibitory kinetics are often assumed to tune oscillation frequency continuously. Using a recurrent excitatory-inhibitory (E-I) model with fixed excitatory synaptic dynamics, we systematically vary inhibitory decay time constants and show instead that inhibitory timescale acts as a control parameter that drives sharp transitions between distinct collective states. The network switches between a coherent high-frequency regime and a coherent gamma-band regime, separated by an intermediate transition state with reduced synchrony and unstable phase coordination. Phase analysis demonstrates that the coherent regimes exhibit distinct, internally consistent E-I coordination patterns, whereas these relationships break down in the transition regime. Dissecting inhibitory pathways reveals that inhibitory-to-inhibitory decay times determine the operative regime, while inhibitory-to-excitatory kinetics primarily adjust oscillation frequency and the width of the transition region without altering the global phase structure. Our results link physiological diversity in inhibitory synaptic timescales to discrete oscillatory regimes in recurrent cortical circuits.
Keywords:biological neural networks, inhibitory synapses, neuronal dynamics, spiking neurons, synchronization
Publication status:Published
Publication version:Version of Record
Article acceptance date:11.05.2026
Publication date:05.06.2026
Place of publishing:College Park
Publisher:American Phyisical Society
Year of publishing:2026
Number of pages:12 str.
Numbering:Letn. 8, št. 2, št. članka 023251
PID:20.500.12556/DKUM-98390 New window
UDC:53:57.087.1
ISSN on article:2643-1564
COBISS.SI-ID:281016579 New window
DOI:10.1103/zmn7-7kf6 New window
Publication date in DKUM:09.06.2026
Views:302
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Physical review research
Publisher:American Phyisical Society
ISSN:2643-1564
COBISS.SI-ID:32822823 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:05.06.2026

Secondary language

Language:Slovenian
Keywords:biološke nevronske mreže, inhibitorne sinapse, nevronska dinamika, nevroni s konicami, sinhronizacija


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