December 2010
Volume 10, Issue 15
OSA Fall Vision Meeting Abstract  |   December 2010
Complex spatiotemporal dynamics of V1 population responses explained by a simple gain-control model
Author Affiliations
  • Eyal Seidemann
    University of Texas at Austin
Journal of Vision December 2010, Vol.10, 32. doi:10.1167/10.15.32
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      Eyal Seidemann; Complex spatiotemporal dynamics of V1 population responses explained by a simple gain-control model. Journal of Vision 2010;10(15):32. doi: 10.1167/10.15.32.

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      © ARVO (1962-2015); The Authors (2016-present)

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To understand sensory encoding and decoding, it is essential to characterize the dynamics of population responses in sensory cortical areas. Using voltage-sensitive dye imaging in awake, fixating monkeys, we obtained complete quantitative measurements of the spatiotemporal dynamics of V1 responses over the entire region activated by small, briefly presented stimuli at different contrast levels. The responses exhibit several complex properties: they begin to rise approximately simultaneously over the entire active region, but reach their peak more rapidly at the center of the active region. However, at stimulus offset the responses fall simultaneously and at the same rate at all locations. Although response onset depends on stimulus contrast, both the peak spatial profile and the offset dynamics are independent of contrast. In this talk I will show that these results are consistent with a simple population gain-control model that generalizes earlier single-neuron contrast gain-control models. This model provides valuable insight and is likely to be applicable to other brain areas.


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