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Biology of the Physarum polycephalum Plasmodium: Preliminaries for Unconventional Computing Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Memristive and Memcapacitive Models of Physarum Learning

Authors : Y. V. Pershin, M. Di Ventra

Published in: Advances in Physarum Machines

Publisher: Springer International Publishing

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Abstract

We review a few models of adaptive circuits based on memory circuit elements and inspired by the adaptive behavior of the unicellular organism Physarum subjected to periodic temperature and humidity variations. Memory circuit elements are resistors, capacitors and inductors with memory whose state depends on the history of signals applied. When these devices are subjected to a time-dependent input their states demonstrate an adaptive functionality that can be used, e.g., to mimic the adaptation of biological systems to a time-dependent environment. Similar to experimental observations, these circuits demonstrate learning and anticipation to future signal (environmental) changes. This work shows the potential of memory circuit elements to model various biological processes in different setups and their use in a new type of adaptive electronics.

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previous chapter Physarum Imitates Exploration and Colonisation of Planets
next chapter Multi-agent Slime Mould Computing: Mechanisms, Applications and Advances
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Metadata
Title
Memristive and Memcapacitive Models of Physarum Learning
Authors
Y. V. Pershin
M. Di Ventra
Copyright Year
2016
Book
Advances in Physarum Machines

Print ISBN: 978-3-319-26661-9

Electronic ISBN: 978-3-319-26662-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26662-6_21

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