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Neuroscience: From Neural Networks to Artificial Intelligence pp 116–135Cite as

Central Control of Sensory Information

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Part of the book series: Research Notes in Neural Computing ((NEURALCOMPUTING,volume 4))

Abstract

Activation of afferent fibers from muscle spindles (la fibers) produces monosynaptic excitatory potentials (EPSPs) in cat motoneurons. The amplitude of these EPSPs shows fluctuations that may result from (a) intrinsic variability of transmitter release mechanisms, (b) intermittent conduction of action potentials in the intraspinal arborizations of the afferent fibers, (c) modulation of the synaptic efficacy via GABAergic interneurons synapsing with intraspinal terminals of the la fibers (presynaptic inhibition), and (d) non-linear postsynaptic interactions between the evoked Ia-EPSPs and the background synaptic activity. The possible role of these factors in controlling variability of synaptic transmission is discussed. Particular attention is given to the consequences of presynaptic inhibition on information transmission and its possible role in the control of movements.

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Author information

Authors and Affiliations

  1. Department of Physiology, Biophysics and Neuroscience, Centro de Investigación y de Estudios Avanzados, México D.F., Mexico

    Pablo Rudomin

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  1. Pablo Rudomin
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Editor information

Editors and Affiliations

  1. Centro de Investigación y de Estudios Avanzados del I.P.N., Apartado Postal 14-740, 07000 D.F., México, México

    Pablo Rudomin

  2. Center for Neural Engineering, University of Southern California, 90089-2520, Los Angeles, CA, USA

    Michael A. Arbib

  3. Centro de Instrumentos, Universidad Nacional Autónoma de México, Apartado Postal 70-183, CP 04510, México D.F., México

    Francisco Cervantes-Pérez

  4. Instuto de Fisiología Celular, UNAM, México D.F., México

    Ranulfo Romo

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© 1993 Springer-Verlag Berlin Heidelberg

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Rudomin, P. (1993). Central Control of Sensory Information. In: Rudomin, P., Arbib, M.A., Cervantes-Pérez, F., Romo, R. (eds) Neuroscience: From Neural Networks to Artificial Intelligence. Research Notes in Neural Computing, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78102-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-78102-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56501-7

  • Online ISBN: 978-3-642-78102-5

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