Learning by mistakes in memristor networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35706169.
- Also identified by DOI 10.1103/PhysRevE.105.054306.
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Abstract
Recent results revived the interest in the implementation of analog devices able to perform brainlike operations. Here we introduce a training algorithm for a memristor network which is inspired by 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.