Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks

DOI10.1162/neco.2008.11-07-636zbMath1160.68490OpenAlexW2127595913WikidataQ47828369 ScholiaQ47828369MaRDI QIDQ3544329

Brice Bathellier, Wulfram Gerstner, Alan Carleton

Publication date: 5 December 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://infoscience.epfl.ch/record/160470

zbMATH Keywords

biological neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

Related Items (3)

Transition from regular to labyrinth pattern in a neuronal network with fast inhibitory synapses ⋮ Intermittent chimera-like and bi-stable synchronization states in network of distinct Izhikevich neurons ⋮ Key role of voltage-dependent properties of synaptic currents in robust network synchronization

Cites Work

• Phase-locking in weakly heterogeneous neuronal networks
• Frequency control in synchronized networks of inhibitory neurons
• Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons
• Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
• A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking
• Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons

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