Literature DB >> 24571098

Gamma frequency feedback inhibition accounts for key aspects of orientation selectivity in V1.

John Lisman1.   

Abstract

There is now strong evidence that gamma frequency oscillations occur during the engagement of cortical regions. These oscillations involve gamma frequency feedback inhibition. Thus, understanding the properties of this form of inhibition is critical to understanding how excitation and inhibition interact to determine which cells fire and, more generally, how cortex performs computations. In previous work, we argued that gamma frequency inhibition performs a type of winner-take-all computation that obeys simple rules: 1) cells fire if their excitation is within E% of the cell with maximum excitation; 2) E%max is determined by the delay of feedback inhibition and the membrane time constant. This framework was previously applied to the best-studied cortical computation, orientation selectivity of cells in V1. Measurements show that orientation tuning is insensitive to illumination contrast. We showed that this finding can be simply explained by the E%max model. Recently, a new property of orientation selectivity has been discovered: orientation tuning varies with the phase of the gamma oscillation. Here, we show that this too can be simply explained by the E%max model. These successes suggest that simple rules underlie the selection of which cells fire in cortical networks.

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Year:  2014        PMID: 24571098      PMCID: PMC4243463          DOI: 10.3109/0954898X.2013.877611

Source DB:  PubMed          Journal:  Network        ISSN: 0954-898X            Impact factor:   1.273


  36 in total

1.  Synaptic excitation of inhibitory cells by single CA3 hippocampal pyramidal cells of the guinea-pig in vitro.

Authors:  R Miles
Journal:  J Physiol       Date:  1990-09       Impact factor: 5.182

2.  Orientation selectivity and noise correlation in awake monkey area V1 are modulated by the gamma cycle.

Authors:  Thilo Womelsdorf; Bruss Lima; Martin Vinck; Robert Oostenveld; Wolf Singer; Sergio Neuenschwander; Pascal Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

3.  Synchronisation hubs in the visual cortex may arise from strong rhythmic inhibition during gamma oscillations.

Authors:  Stefanos E Folias; Shan Yu; Abigail Snyder; Danko Nikolić; Jonathan E Rubin
Journal:  Eur J Neurosci       Date:  2013-07-09       Impact factor: 3.386

Review 4.  A neural coding scheme formed by the combined function of gamma and theta oscillations.

Authors:  John Lisman; György Buzsáki
Journal:  Schizophr Bull       Date:  2008-06-16       Impact factor: 9.306

5.  How precise is neuronal synchronization?

Authors:  P König; A K Engel; P R Roelfsema; W Singer
Journal:  Neural Comput       Date:  1995-05       Impact factor: 2.026

Review 6.  Mechanisms of gamma oscillations.

Authors:  György Buzsáki; Xiao-Jing Wang
Journal:  Annu Rev Neurosci       Date:  2012-03-20       Impact factor: 12.449

7.  Low- and high-frequency membrane potential oscillations during theta activity in CA1 and CA3 pyramidal neurons of the rat hippocampus under ketamine-xylazine anesthesia.

Authors:  I Soltesz; M Deschênes
Journal:  J Neurophysiol       Date:  1993-07       Impact factor: 2.714

8.  Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast.

Authors:  G Sclar; R D Freeman
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

9.  Driving fast-spiking cells induces gamma rhythm and controls sensory responses.

Authors:  Jessica A Cardin; Marie Carlén; Konstantinos Meletis; Ulf Knoblich; Feng Zhang; Karl Deisseroth; Li-Huei Tsai; Christopher I Moore
Journal:  Nature       Date:  2009-04-26       Impact factor: 49.962

10.  Orthogonal micro-organization of orientation and spatial frequency in primate primary visual cortex.

Authors:  Ian Nauhaus; Kristina J Nielsen; Anita A Disney; Edward M Callaway
Journal:  Nat Neurosci       Date:  2012-11-11       Impact factor: 24.884

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  2 in total

Review 1.  Glutamatergic synapses are structurally and biochemically complex because of multiple plasticity processes: long-term potentiation, long-term depression, short-term potentiation and scaling.

Authors:  John Lisman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-03-05       Impact factor: 6.237

2.  Regulation of gamma-frequency oscillation by feedforward inhibition: A computational modeling study.

Authors:  César Rennó-Costa; Daniel Garcia Teixeira; Ivan Soltesz
Journal:  Hippocampus       Date:  2019-04-16       Impact factor: 3.899

  2 in total

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