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Mechanisms Underlying the Generation of Neuronal Oscillations in Cat Visual Cortex

  • Chapter
Induced Rhythms in the Brain

Part of the book series: Brain Dynamics ((BD))

Abstract

Place an electrode on the surface or in the depth of nearly any neuronal structure in the brain of either vertebrates or invertebrates. Record the fluctuations of voltage produced by the flow of current, and what you are likely to observe is an irregular sequence of rhythmic changes of potential having a multitude of frequencies (Bullock and Başar, 1988). If your electrode happens to be within one of many structures responsive to sensory stimuli, the presentation of a stimulus will in many cases evoke a sustained rhythmic fluctuation of potential outlasting the stimulus. This propensity for neural structures to generate oscillatory waves of activity has come to be termed an “induced rhythm”. It is a general property of sensory as well as many other neuronal networks that is expressed during periods of activation. In this chapter we describe some of our recent observations of induced rhythms in the mammalian visual cortex and discuss the evidence for several neuronal mechanisms thought to underlie their generation.

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Authors
  1. Charles M. Gray
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  2. Andreas K. Engel
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  3. Peter König
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  4. Wolf Singer
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Editor information

Editors and Affiliations

  1. Institute of Physiology, Medical University Lübeck, Ratzeburger Allee 160, D-2400, Lübeck 1, Germany

    Erol Başar

  2. Department of Neurosciences, 0201, University of California, San Diego, La Jolla, CA, 92093, USA

    Theodore H. Bullock

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© 1992 Springer Science+Business Media New York

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Gray, C.M., Engel, A.K., König, P., Singer, W. (1992). Mechanisms Underlying the Generation of Neuronal Oscillations in Cat Visual Cortex. In: Başar, E., Bullock, T.H. (eds) Induced Rhythms in the Brain. Brain Dynamics. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4757-1281-0_2

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  • DOI: https://doi.org/10.1007/978-1-4757-1281-0_2

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4757-1283-4

  • Online ISBN: 978-1-4757-1281-0

  • eBook Packages: Springer Book Archive

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