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  Dynamics of population response to changes of motion direction in primary visual cortex

Wu, W., Tiesinga, P. H., Tucker, T. R., Mitroff, S. R., & Fitzpatrick, D. (2011). Dynamics of population response to changes of motion direction in primary visual cortex. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience, 31(Sep 7 2011), 12767-12777. doi:10.1523/JNEUROSCI.4307-10.2011.

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 Creators:
Wu, W., Author
Tiesinga, P. H., Author
Tucker, T. R., Author
Mitroff, S. R., Author
Fitzpatrick, D.1, Author
Affiliations:
1Max Planck Florida Institute for Neuroscience, Max Planck Society, One Max Planck Way, Jupiter FL 33458, USA, ou_1950288              

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Free keywords: Action Potentials/physiology, Algorithms, Animals, Electrophysiological Phenomena, Evoked Potentials, Visual/physiology, Female, Ferrets, Linear Models, Microelectrodes, Motion Perception/*physiology, Nerve Net/physiology, Neurons/physiology, Photic Stimulation, Population, Signal Processing, Computer-Assisted, Software, Visual Cortex/physiology, Visual Perception/physiology
 Abstract: The visual system is thought to represent the direction of moving objects in the relative activity of large populations of cortical neurons that are broadly tuned to the direction of stimulus motion, but how changes in the direction of a moving stimulus are represented in the population response remains poorly understood. Here we take advantage of the orderly mapping of direction selectivity in ferret primary visual cortex (V1) to explore how abrupt changes in the direction of a moving stimulus are encoded in population activity using voltage-sensitive dye imaging. For stimuli moving in a constant direction, the peak of the V1 population response accurately represented the direction of stimulus motion, but following abrupt changes in motion direction, the peak transiently departed from the direction of stimulus motion in a fashion that varied with the direction offset angle and was well predicted from the response to the component directions. We conclude that cortical dynamics and population coding mechanisms combine to place constraints on the accuracy with which abrupt changes in direction of motion can be represented by cortical circuits.

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 Dates: 2011
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Baltimore, MD : The Society for Neuroscience
Pages: 10 Volume / Issue: 31 (Sep 7 2011) Sequence Number: - Start / End Page: 12767 - 12777 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1