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Learning Rules: Overview

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Encyclopedia of Computational Neuroscience

Definition

The title of this entry, namely, “Learning Rules,” refers to several type of methods and procedures that have been used in different neuroscience research areas to quantify how previous experiences, training, and stimulations protocols affect brain response and behavior in different animals and at different levels of description. The concept assumes the such previous experiences produce changes or plasticity in the brain (i.e., the learning rule) that affect its posterior behavior, e.g., under the action of related stimuli (the retrieval of what is learned). Such “Learning Rules” concept has been also extended to neural networks modeling and artificial intelligence research, providing precise mathematical definitions for different learning rules, a fact that has helped to gain a better understanding of their consequences.

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Learning is the most important procedure by which different stimuli in the environment alter the behavior in animals and humans, and...

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References

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Correspondence to Joaquín J. Torres .

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Obermayer, K., Torres, J.J. (2020). Learning Rules: Overview. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_790-2

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_790-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7320-6

  • Online ISBN: 978-1-4614-7320-6

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Chapter history

  1. Latest

    Learning Rules: Overview
    Published:
    31 December 2019

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_790-2

  2. Original

    Learning Rules: Overview
    Published:
    15 April 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_790-1