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Learning Rules: Overview

Encyclopedia of Computational Neuroscience
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Learning is the most important way by which the environment alters the behavior in animals and humans. Neurobiological as well as computational studies have stressed the significance of synaptic plasticity in the learning process: Experience and training leads to modifications of synapses, which in turn lead to changes in neuronal firing patterns, causing changes in behavior. A full understanding of the processes underlying learning, therefore, requires an understanding on the neural as well as on the systemic level.

In the behavioral literature, learning is studied by exposing animals and humans to sensory stimuli and having them interact with the environment. The paradigms which have been used gave rise to a categorization into associative and nonassociative learning. In nonassociative learning an animal is repeatedly exposed to a single type of stimulus, and learning is described by the strength of its impact leading, for example, to the phenomena of habituation...

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Correspondence to Klaus Obermayer .

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© 2014 Springer Science+Business Media New York

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Obermayer, K. (2014). 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_790-1

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

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  • Publisher Name: Springer, New York, NY

  • 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