Memristor-Based Circuit Design of Non Associative Learning Mechanism

Author:

Sun Junwei1,Wang Yangyang1,Liu Peng1,Wang Yanfeng1

Affiliation:

1. College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

Abstract

Associative learning and memory are widely studied, but non associative learning is rarely discussed. A non associative learning circuit based on memristor is proposed in this paper, including habituation, sensitization, presynaptic facilitation, secondary habituation, long and short term habituation, cross habituation, long and short timescale habituation. Habituation and sensitization in non associative learning are achieved through memristive non-volatility and non-linearity, and presynaptic facilitation is also discussed. Long and short term habituation and secondary habituation are considered through the synaptic module and the voltage module. Cross habituation and long and short timescale habituation are introduced through the suppression module and synaptic module. The more realistic brain is simulated by artificial neural network through the study of non associative learning.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Reference43 articles.

1. A multi-functional memristive pavlov associative memory circuit based on neural mechanisms;Zhang;IEEE Transactions on Biomedical Circuits and Systems,2021

2. Memristor-based neural network circuit of full-function pavlov associative memory with time delay and variable learning rate;Sun;IEEE Transactions on Cybernetics,2019

3. The design of memristive circuit for affective multi-associative learning;Wang;IEEE Transactions on Biomedical Circuits and Systems,2020

4. Neural and molecular bases of nonassociative and associative learning in Aplysia a;Byrne;Annals of the New York Academy of Sciences,1991

5. Structural changes and the storage of long-term memory in Aplysia;Bailey;Canadian Journal of Physiology & Pharmacology,1999

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