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基于忆阻器的全功能巴甫洛夫联想记忆神经网络电路,具有时滞和可变学习率。

Memristor-Based Neural Network Circuit of Full-Function Pavlov Associative Memory With Time Delay and Variable Learning Rate.

出版信息

IEEE Trans Cybern. 2020 Jul;50(7):2935-2945. doi: 10.1109/TCYB.2019.2951520. Epub 2019 Nov 21.

DOI:10.1109/TCYB.2019.2951520
PMID:31751264
Abstract

Most memristor-based Pavlov associative memory neural networks strictly require that only simultaneous food and ring appear to generate associative memory. In this article, the time delay is considered, in order to form associative memory when the food stimulus lags behind the ring stimulus for a certain period of time. In addition, the rate of learning can be changed with the length of time between the ring stimulus and food stimulus. A memristive neural network circuit that can realize Pavlov associative memory with time delay is designed and verified by the simulation results. The designed circuit consists of a synapse module, a voltage control module, and a time-delay module. The functions, such as learning, forgetting, fast learning, slow forgetting, and time-delay learning, are implemented by the circuit. The Pavlov associative memory neural network with time-delay learning provides a reference for further development of the brain-like systems.

摘要

大多数基于忆阻器的巴甫洛夫联想记忆神经网络严格要求只有同时出现食物和铃声才能产生联想记忆。在本文中,考虑了时滞,以便在食物刺激滞后于铃声刺激一定时间后形成联想记忆。此外,学习的速度可以随着铃声刺激和食物刺激之间的时间长度而变化。设计了一个具有时滞的忆阻神经网络电路,并通过仿真结果进行了验证。所设计的电路由突触模块、电压控制模块和时滞模块组成。通过电路实现了学习、遗忘、快速学习、缓慢遗忘和时滞学习等功能。具有时滞学习功能的巴甫洛夫联想记忆神经网络为进一步开发类脑系统提供了参考。

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