20.500.12556/DKUM-98390 Inhibitory synaptic timescales drive oscillatory regime transitions in recurrent excitatory-inhibitory networks 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. biological neural networks inhibitory synapses neuronal dynamics spiking neurons synchronization biološke nevronske mreže inhibitorne sinapse nevronska dinamika nevroni s konicami sinhronizacija true false true American Phyisical Society Angleški jezik Slovenski jezik Znanstveno delo 2026-06-09 14:43:24 2026-06-09 14:43:24 2026-06-10 03:07:16 0000-00-00 00:00:00 2026 0 College Park 0 12 str. št. 2, št. članka 023251 Letn. 8 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 2026-05-11 2026-06-05 53:57.087.1 281016579 10.1103/zmn7-7kf6 2643-1564 RAZ_Kheiri_Siamak_2026.pdf RAZ_Kheiri_Siamak_2026.pdf 1 492F87A9D834DC6BBF9AD1F4FBAADC5C 6a728f136dabfbabecc381514f945a2541fa6e2d5ed73aae5eaa26d03c7e0418 5d9897f7-6401-11f1-9481-00155d580e34 https://dk.um.si/Dokument.php?lang=slv&id=206951 https://doi.org/10.1103/zmn7-7kf6 1 ce8ca8c4-6400-11f1-9481-00155d580e34 https://dk.um.si/Dokument.php?lang=slv&id=206949 Fakulteta za naravoslovje in matematiko 0 0 0