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arXiv · 2011.07201

Learning by mistakes in memristor networks

Juan Pablo Carbajal·Daniel Alejandro Martin·Dante Renato Chialvo
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Abstract

Recent results in adaptive matter revived the interest in the implementation of novel devices able to perform brain-like operations. Here we introduce a training algorithm for a memristor network which is inspired in previous work on biological learning. Robust results are obtained from computer simulations of a network of voltage controlled memristive devices. Its implementation in hardware is straightforward, being scalable and requiring very little peripheral computation overhead.

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Juan Pablo Carbajal, Daniel Alejandro Martin, Dante Renato Chialvo. 2020-11-14. Learning by mistakes in memristor networks. https://doi.org/10.1103/physreve.105.054306

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