105
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Switching Neuronal Inputs by Differential Modulations of Gamma-Band Phase-Coherence

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Receptive fields (RFs) of cortical sensory neurons increase in size along consecutive processing stages. When multiple stimuli are present in a large visual RF, a neuron typically responds to an attended stimulus as if only that stimulus were present. However, the mechanism by which a neuron selectively responds to a subset of its inputs while discarding all others is unknown. Here, we show that neurons can switch between subsets of their afferent inputs by highly specific modulations of interareal gamma-band phase-coherence (PC). We measured local field potentials, single- and multi-unit activity in two male macaque monkeys ( Macaca mulatta) performing an attention task. Two small stimuli were placed on a screen; the stimuli were driving separate local V1 populations, while both were driving the same local V4 population. In each trial, we cued one of the two stimuli to be attended. We found that gamma-band PC of the local V4 population with multiple subpopulations of its V1 input was differentially modulated. It was high with the input subpopulation representing the attended stimulus, while simultaneously it was very low between the same V4 population and the other input-providing subpopulation representing the irrelevant stimulus. These differential modulations, which depend on stimulus relevance, were also found in the locking of spikes from V4 neurons to the gamma-band oscillations of the V1 input subpopulations. This rapid, highly specific interareal locking provides neurons with a powerful dynamic routing mechanism to select and process only the currently relevant signals.

          Related collections

          Author and article information

          Journal
          J Neurosci
          J. Neurosci
          jneuro
          jneurosci
          J. Neurosci
          The Journal of Neuroscience
          Society for Neuroscience
          0270-6474
          1529-2401
          14 November 2012
          : 32
          : 46
          : 16172-16180
          Affiliations
          [1] 1Brain Research Institute, Center for Cognitive Sciences, University of Bremen and
          [2] 2Bernstein Group for Computational Neurosciences Bremen, University of Bremen, D-28334 Bremen, Germany
          Author notes
          Correspondence should be addressed to Dr. Andreas K. Kreiter, Brain Research Institute, Department of Theoretical Neurobiology, University of Bremen, FB 2, P.O. Box 330440, D-28334 Bremen, Germany. kreiter@ 123456brain.uni-bremen.de

          Author contributions: S.M. and A.K.K. designed research; I.G. and S.D.N. performed research; I.G. and S.D.N. analyzed data; I.G. and A.K.K. wrote the paper.

          *I. Grothe and S.D. Neitzel contributed equally to this work.

          Article
          PMC6794021 PMC6794021 6794021 3808237
          10.1523/JNEUROSCI.0890-12.2012
          6794021
          23152601
          3ad793df-f4e7-4bfc-a65c-bc4ade0403f2
          Copyright © 2012 the authors 0270-6474/12/3216172-09$15.00/0
          History
          : 23 February 2012
          : 6 September 2012
          : 14 September 2012
          Categories
          Articles
          Behavioral/Systems/Cognitive

          Comments

          Comment on this article