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Robot Neurocontrol

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Geometric Algebra Applications Vol. II

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Abstract

Biological creatures are able to perform complex tasks, due to the capacity of the brain to store information and to adapt its neuro connections as necessary, and this is known as synaptic plasticity [1]. The neuroplasticity was investigated and later used in Artificial Neural Networks (ANN), where these ANN were called the third generation of neural networks [2]. The main advantage of the third generation of neural networks, or Spiking Neural Networks (SNN), is the ability to mimic the biological behavior, where this characteristic can be used in a variety of applications.

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Authors and Affiliations

  1. Electrical Engineering and Computer Science Department, CINVESTAV, Guadalajara, Jalisco, Mexico

    Eduardo Bayro-Corrochano

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  1. Eduardo Bayro-Corrochano
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Correspondence to Eduardo Bayro-Corrochano .

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Bayro-Corrochano, E. (2020). Robot Neurocontrol. In: Geometric Algebra Applications Vol. II. Springer, Cham. https://doi.org/10.1007/978-3-030-34978-3_13

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