Open AccessChua Corsage memristor based neuron models
Author(s) -
Dong Yujiao,
Liang Yan,
Wang Guangyi,
Iu Herbert HoChing
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12304
Subject(s) - neuromorphic engineering , memristor , edge of chaos , computer science , chaos (operating system) , biological neuron model , bifurcation , attractor , domain (mathematical analysis) , artificial neural network , topology (electrical circuits) , artificial intelligence , electronic engineering , physics , mathematics , nonlinear system , engineering , electrical engineering , mathematical analysis , computer security , quantum mechanics
Nowadays, processing of data via neuromorphic non‐linear dynamics is a key element for brain‐inspired computers. In particular, an appropriate neuromorphic device is essential to emulate neuromorphic functions. In this brief, it is found that the Chua Corsage memristor has rich neuromorphic behaviours, which has potential values to realise the hardware construction for neuromorphic computing. The theory of local activity and edge of chaos are applied to analyse the neuromorphic dynamics of the second‐order Chua Corsage memristor based neuron model, and find that the periodic spikes (action potentials) appear either on or near the edge of chaos domain, which are excited by the subcritical Hopf bifurcation or the unstable state of the neuron model, respectively. Furthermore, the third‐order Chua Corsage memristor based neuron model can generate self‐sustained oscillations, periodic spikes, and chaos near the edge of chaos domain.