August 2014
Volume 14, Issue 10
Free
Vision Sciences Society Annual Meeting Abstract  |   August 2014
Sensory and response interference is resolved locally
Author Affiliations
  • Jack Grinband
    Department of Radiology, Columbia University
  • Tobias Teichert
    Department of Psychiatry, University of Pittsburgh
  • Vincent Ferrera
    Department of Neuroscience, Columbia University
  • Joy Hirsch
    Department of Neurobiology, Yale University
Journal of Vision August 2014, Vol.14, 627. doi:https://doi.org/10.1167/14.10.627
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      Jack Grinband, Tobias Teichert, Vincent Ferrera, Joy Hirsch; Sensory and response interference is resolved locally. Journal of Vision 2014;14(10):627. https://doi.org/10.1167/14.10.627.

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

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Abstract

Current models of cognitive control have argued that the frontal cortex dynamically allocates attentional resources during perceptual decisions. Specifically, momentary changes in sensory or response interference may result in top-down modulations of sensory input. To test this hypothesis, we performed fMRI using a visual motion interference task in which two sets of black and white moving dots were simultaneously presented. Human subjects made simple decisions about the direction of motion of the target dots while ignoring the distractor dots. In this task, reaction time increased with the amount of sensory interference whereas error rate increased with the amount of response interference. These behavioral differences allowed us to psychophysically dissociate these two types of interference. We found neural activity modulated by the amount of sensory interference only in sensory cortex (area MT+/V5), whereas activity modulated by the amount of response interference was located only in frontal cortex (supplementary motor cortex). Furthermore, functional connectivity between sensory and frontal cortex during the decision was found to be close to zero. These data suggest that interference is minimized and resolved locally without engaging top-down feedback loops.

Meeting abstract presented at VSS 2014

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