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Perspectives on Neuroscience
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Cognition Without Neural Representation: Dynamics of a Complex System.

Inês Hipólito1

  • 1Berlin School of Mind and Brain, Institut für Philosophie, Humboldt-Universität zu Berlin, Berlin, Germany.

Frontiers in Psychology
|January 31, 2022
PubMed
Summary

This study challenges the necessity of neural representation in understanding brain activity. It proposes a dynamical systems approach to neurocognition, integrating embodied and enactive perspectives for a new framework.

Keywords:
dynamic causal modellingdynamical systems theoryembodied, enactive cognitive scienceneural representationneurocognitive activity

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Dynamical Systems Theory

Background:

  • The concept of neural representation is a common assumption in computational cognitive neuroscience.
  • This assumption posits that properties like information and representation in models must literally exist within the brain.
  • However, this view is not universally held across all neuroscience research.

Purpose of the Study:

  • To propose an alternative account of neurocognitive activity that does not rely on neural representation.
  • To critically examine the assumption that computational model properties must directly map to brain mechanisms.
  • To introduce a dynamical framework for understanding neurocognition.

Main Methods:

  • Critically analyzing the foundational assumptions of computationalist accounts in neuroscience.
  • Introducing Dynamical Causal Modelling (DCM) as a mathematical formalism.
  • Integrating Dynamical Systems Theory (DST) with Embodied and Enactive Cognitive Science (EECS) principles.

Main Results:

  • Demonstrates that neurocognitive activity can be understood without invoking neural representation.
  • Highlights the limitations of assuming a literal mapping between computational models and brain processes.
  • Presents a viable dynamical account of neurocognitive function.

Conclusions:

  • Neurocognitive activity does not necessitate the existence of neural representations.
  • A dynamical systems approach, informed by EECS, offers a robust alternative for modeling brain function.
  • This framework provides a more flexible and potentially accurate way to study the brain.