A Hyperneuron Model Towards in Silico Implementation

Autor:	Marco Branciforte, Arturo Buscarino, Luigi Fortuna
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	nonlinear dynamics Neuron model Applied Mathematics Modeling and Simulation Hindmarsh-Rose model Engineering (miscellaneous) hypersystem
Popis:	In this paper, the concept of hyperneuron is introduced. The main properties and dynamical characteristics of this class of hypersystems will be studied by numerical analysis. The intrinsic robustness of the proposed model is further investigated by proposing a silicon implementation of the hyperneuron, reporting the corresponding experimental results. The study aims to present a novel approach to in silico implementations of large-scale networks of neurons with increased robustness and fault tolerance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e8bb10623a989b3e7f4befaeb23ab80 https://hdl.handle.net/20.500.11769/558127 Zobrazit plný text záznamu