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March 3, 20260 citationsOpen Access

A reservoir computing view of morphological computation

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KCKen CaluwaertsBSBenjamin Schrauwen

Key Points

  • Morphological computation connects body, brain, and environment effectively and efficiently.
  • Key evidence indicates that extending reservoir computing to physical systems enables new computational methods.
  • This analysis examines the integration of physical reservoir computing into the framework of morphological computation.
  • Support for this approach highlights its potential to maximize the computational power inherent in physical dynamical systems.

Abstract

Morphological Computation is a broad concept that tries to connect the body (or mechanics), brain (or controller) and environment. In this work, we analyze Physical Reservoir Computing as a practical approach to Morphological Computation. Physical Reservoir Computing extends the Reservoir Computing framework that was originally developed in the context of artificial neural networks to physical systems. This has approach provides simple, yet efficient methods to exploit the computational power available in physical dynamical systems.

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Cite This Study

Caluwaerts et al. (2014) studied this question.

synapsesocial.com/papers/69a75d5bc6e9836116a274abhttps://biblio.ugent.be/publication/3131652
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