Spike Patterns and Chaos in a Map–Based Neuron Model

Bartłomiejczyk, Piotr; Trujillo, Frank Llovera; Signerska-Rynkowska, Justyna

doi:10.34768/amcs-2023-0028

Abstract

The work studies the well-known map-based model of neuronal dynamics introduced in 2007 by Courbage, Nekorkin and Vdovin, important due to various medical applications. We also review and extend some of the existing results concerning β-transformations and (expanding) Lorenz mappings. Then we apply them for deducing important properties of spike-trains generated by the CNV model and explain their implications for neuron behaviour. In particular, using recent theorems of rotation theory for Lorenz-like maps, we provide a classification of periodic spiking patterns in this model.

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Spike Patterns and Chaos in a Map–Based Neuron Model

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