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Related Experiment Video

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Coordination Dynamics in Cognitive Neuroscience.

Steven L Bressler1, J A Scott Kelso2

  • 1Center for Complex Systems and Brain Sciences, Florida Atlantic University Boca Raton, FL, USA.

Frontiers in Neuroscience
|October 4, 2016
PubMed
Summary
This summary is machine-generated.

Cognitive neuroscience is shifting from a modular view to a dynamic network perspective. This new approach explains cognition through the coordination dynamics of interacting brain regions, highlighting both cooperation and competition.

Keywords:
HKB modelcerebral cortexcomputational contextevent-related potentialinterareal interactionlocal field potentialneuronal communicationrelative coordination

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • The traditional modular view posits circumscribed brain regions for elementary cognitive functions.
  • A paradigm shift towards a dynamic network perspective is emerging in cognitive neuroscience.
  • Understanding cognition requires examining the interplay between brain regions.

Approach:

  • Investigating cortical function through coordination dynamics within and between regions.
  • Analyzing the influence of unidirectional inputs and reciprocal projections in cortical connectivity.
  • Exploring reentrant processing as a key mechanism in brain function.

Key Points:

  • Cortical coordination dynamics emerge from the interaction of unidirectional influences and reciprocal projections.
  • Brain network dynamics exhibit both segregative and integrative tendencies.
  • Cooperative and competitive relations within and between cortical areas are crucial for cognition.

Conclusions:

  • The dynamic network perspective offers a new framework for understanding cognitive function.
  • Coordination dynamics in neural networks are hypothesized to underlie emergent cognition.
  • This shift challenges modularity and emphasizes interconnectedness in brain function.