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

Konishi, M. (1984) A Logical Basis for Single-neuron Study of Learning in Complex Neural Systems. In: The Biology of Learning. Dahlem Workshop Reports. No.29. Springer , Berlin, pp. 311-324. ISBN 978-3-642-70096-5. https://resolver.caltech.edu/CaltechAUTHORS:20201103-130149332

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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.


Item Type:Book Section
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https://doi.org/10.1007/978-3-642-70094-1_14DOIArticle
https://rdcu.be/b9FJcPublisherFree ReadCube access
Additional Information:© 1984 Berlin, Heildelberg, New York, Tokyo: Springer-Verlag. I thank P. Bateson, D. Margoliash, P. Marler, P. Patterson, J. Rauschecker, and W.E. Sullivan for reviewing and correcting the manuscript at various stages of its preparation. This work was supported by the Bing Chair of Behavioral Biology, Caltech.
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CaltechUNSPECIFIED
Subject Keywords:Zebra Finch; Auditory Feedback; Neural Code; Song Learning; Song Control
Series Name:Dahlem Workshop Reports
Issue or Number:29
DOI:10.1007/978-3-642-70094-1_14
Record Number:CaltechAUTHORS:20201103-130149332
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201103-130149332
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:106403
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:04 Nov 2020 20:46
Last Modified:16 Nov 2021 18:53

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