Transition from regular to labyrinth pattern in a neuronal network with fast inhibitory synapses

Peihua Feng, Qiang Fan, Zhixuan Yuan and Ying Wu

Chaos, Solitons & Fractals, 2021, vol. 146, issue C

Abstract: Pattern selection among spiral wave or target wave and irregular patterns plays a key role in cortical information processing in mammalian neocortex. In this paper, we study transition between spiral wave and labyrinth pattern in neural network in which neurons are coupled with fast inhibitory synapse. Transition between regular patterns when neurons are connected by fast inhibitory synapse is quite different from that of network with fast excitatory synapse. It is a complex scenario of transition from regular wave to labyrinth pattern. Four types of spatiotemporal patterns are discovered in the network, namely, rectangular spiral wave, chimera state, circular spiral wave and labyrinth pattern. When the labyrinth pattern occupies the whole domain of network, firing of every neuron is periodic motion. But transition from the regular wave to labyrinth pattern is accompanied with onset of intermittency of neuron firing at the corners of network. Occurrence of intermittency of individual neuron perfectly matches the appearance of circular spiral wave, which is explained by nonlinear analysis. Indeed, dynamics of single neuron electrical activities can also be considered as an index of pattern transition.

Keywords: Neuron; Intermittency; Morris-Lecar model; Chemical synapse (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921001119

DOI: 10.1016/j.chaos.2021.110758

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