Literature DB >> 26433972

Evidence and Counterevidence in Motion Perception.

Jacob Duijnhouwer1, Bart Krekelberg2.   

Abstract

Sensory neurons gather evidence in favor of the specific stimuli to which they are tuned, but they could improve their sensitivity by also taking counterevidence into account. The Bours-Lankheet model for motion detection uses counterevidence that relies on a specific combination of the ON and OFF channels in the early visual system. Specifically, the model detects pairs of flashes that occur separated in space and time. If the flashes have the same contrast polarity, they are interpreted as evidence in favor of the corresponding motion. But if they have opposite contrasts, they are interpreted as evidence against it. This mechanism provides an explanation for reverse-phi (the perceived reversal of an apparent motion stimulus due to periodic contrast-inversions) that is a conceptual departure from the standard explanations of the effect. Here, we investigate this counterevidence mechanism by measuring directional tuning curves of neurons in the primary visual and middle temporal cortex areas of awake, behaving macaques using constant-contrast and inverting-contrast moving dot stimuli. Our electrophysiological data support the Bours-Lankheet model and suggest that the counterevidence computation occurs at an early stage of neural processing not captured by the standard models.
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Keywords:  middle temporal cortex; motion perception; primary visual cortex; reverse-phi motion; single-unit recording

Mesh:

Year:  2015        PMID: 26433972      PMCID: PMC5193140          DOI: 10.1093/cercor/bhv221

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  48 in total

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Authors:  Margaret S Livingstone; Bevil R Conway
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

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Authors:  R Quian Quiroga; Z Nadasdy; Y Ben-Shaul
Journal:  Neural Comput       Date:  2004-08       Impact factor: 2.026

3.  Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions.

Authors:  Carlyn A Patterson; Jacob Duijnhouwer; Stephanie C Wissig; Bart Krekelberg; Adam Kohn
Journal:  J Neurophysiol       Date:  2013-12-26       Impact factor: 2.714

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Authors:  H S Friedman; C E Priebe
Journal:  J Neurosci Methods       Date:  1998-09-01       Impact factor: 2.390

5.  Phi movement as a subtraction process.

Authors:  S M Anstis
Journal:  Vision Res       Date:  1970-12       Impact factor: 1.886

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Authors:  A Johnston; C W Clifford
Journal:  Vision Res       Date:  1995-04       Impact factor: 1.886

7.  A set of high-order spatiotemporal stimuli that elicit motion and reverse-phi percepts.

Authors:  Qin Hu; Jonathan D Victor
Journal:  J Vis       Date:  2010-03-25       Impact factor: 2.240

8.  Defining the computational structure of the motion detector in Drosophila.

Authors:  Damon A Clark; Limor Bursztyn; Mark A Horowitz; Mark J Schnitzer; Thomas R Clandinin
Journal:  Neuron       Date:  2011-06-23       Impact factor: 17.173

9.  Receptive field positions in area MT during slow eye movements.

Authors:  Till S Hartmann; Frank Bremmer; Thomas D Albright; Bart Krekelberg
Journal:  J Neurosci       Date:  2011-07-20       Impact factor: 6.167

10.  The complex structure of receptive fields in the middle temporal area.

Authors:  Micah Richert; Thomas D Albright; Bart Krekelberg
Journal:  Front Syst Neurosci       Date:  2013-03-06
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  4 in total

1.  A Stable Visual World in Primate Primary Visual Cortex.

Authors:  Adam P Morris; Bart Krekelberg
Journal:  Curr Biol       Date:  2019-04-25       Impact factor: 10.834

2.  Testing the assumptions underlying fMRI adaptation using intracortical recordings in area MT.

Authors:  Kohitij Kar; Bart Krekelberg
Journal:  Cortex       Date:  2016-01-19       Impact factor: 4.027

3.  Rapid Motion Adaptation Reveals the Temporal Dynamics of Spatiotemporal Correlation between ON and OFF Pathways.

Authors:  Can Oluk; Andrea Pavan; Hulusi Kafaligonul
Journal:  Sci Rep       Date:  2016-09-26       Impact factor: 4.379

4.  Exploring and explaining properties of motion processing in biological brains using a neural network.

Authors:  Reuben Rideaux; Andrew E Welchman
Journal:  J Vis       Date:  2021-02-03       Impact factor: 2.240

  4 in total

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