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Visual mismatch negativity and unintentional temporal-context-based prediction in vision.

Motohiro Kimura1

  • 1Cognition and Action Research Group, Human Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , 1-1-1 Higashi, Tsukuba, Ibaraki, Japan. m.kimura@aist.go.jp

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
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PubMed
Summary

Visual mismatch negativity (MMN) reflects unintentional prediction based on abstract rules in visual sequences. This predictive processing may involve a bi-directional network connecting visual and prefrontal cortical areas.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • The existence of sensory-specific mismatch negativity (MMN) components has been debated since the discovery of auditory MMN.
  • Numerous studies have confirmed visual MMN and characterized its properties.

Purpose of the Study:

  • To review visual MMN studies through the lens of a predictive framework.
  • To elucidate the nature of unintentional prediction in vision and propose a neural model.

Main Methods:

  • Review of existing literature on visual MMN.
  • Analysis of visual MMN paradigms, morphologies, underlying processes, neural generators, and functional significance.
  • Examination of behavioral indicators, cognitive properties, and neural substrates of unintentional prediction.

Main Results:

  • Visual MMN is strongly linked to unintentional temporal-context-based prediction in vision.
  • Unintentional prediction is characterized by specific behavioral, cognitive, and neural signatures.

Conclusions:

  • Visual MMN demonstrates the brain's capacity for unintentional prediction of visual events based on abstract sequential rules.
  • A hypothetical model proposes that this prediction is implemented by a bi-directional cortical network involving visual and prefrontal areas.