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A Logical Basis for Single-neuron Study of Learning in Complex Neural Systems

  • Conference paper
The Biology of Learning

Part of the book series: Dahlem Workshop Reports ((DAHLEM LIFE,volume 29))

Abstract

An understanding of learning in complex neural systems requires the knowledge of neuronal connections and signals which together code for stimuli, responses, and their relationships. A higher-order neuron forms a nodal point of convergence of afferent and efferent channels and owes its stimulus selectivity both to its intrinsic properties and to the connections it makes with other neurons. Such a neuron, under certain conditions, shows not only how the brain encodes complex stimuli but also how experience determines or modifies its stimulus selectivity. One of the brain areas for the control of birdsong contains neurons selective for the individual bird’s own song. These neurons seem to acquire their stimulus selectivity during song development. This article also discusses recent theories about the neural substrates of song learning.

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Authors and Affiliations

  1. Div. of Biology 216-76, California Institute of Technology, Pasadena, CA, 91125, USA

    M. Konishi

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  1. M. Konishi
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Editor information

P. Marler H. S. Terrace

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© 1984 Berlin, Heildelberg, New York, Tokyo: Springer-Verlag

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Konishi, M. (1984). A Logical Basis for Single-neuron Study of Learning in Complex Neural Systems. In: Marler, P., Terrace, H.S. (eds) The Biology of Learning. Dahlem Workshop Reports, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70094-1_14

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  • DOI: https://doi.org/10.1007/978-3-642-70094-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-70096-5

  • Online ISBN: 978-3-642-70094-1

  • eBook Packages: Springer Book Archive

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