Adversarial collaboration to test contrasting predictions from Integrated Information Theory and Predictive Processing Accounts of Consciousness

TWCF0646
  • TWCF Number:

    0646

  • Project Duration:

    March 1, 2022 - February 28, 2025

  • Core Funding Area:

    Big Questions

  • Priority:

    Accelerating Research on Consciousness

  • Region:

    Europe

  • Amount Awarded:

    $3,599,999

  • Grant DOI*:

    https://doi.org/10.54224/20646

  • *A Grant DOI (digital object identifier) is a unique, open, global, persistent and machine-actionable identifier for a grant.

Director: Cyriel Pennartz

Institution: University of Amsterdam

How are the brain, brain activity, motor activity, and consciousness related? To understand consciousness, we need to learn how different brain structures and brain cell activity can give rise to it.

There exists at least a dozen noteworthy theories of consciousness, but it remains unclear which of them is more likely to be correct. New research at the Cognitive and Systems Neuroscience Lab at the University of Amsterdam will explore three leading theories: Integrated Information Theory (IIT), the Active Inference account of Predictive Processing (PP-AI), and the Neurorepresentationalism account of Predictive Processing (PP-NREP).

These three theories make incompatible predictions. Through a structured adversarial collaboration, the project will carry out three main experiments (including replications) and subsequent data analyses and interpretations, in a carefully controlled manner that closely involves the interactions between theorists, experimentalists, and other experts.

The first experiment uses optogenetics to activate neurons in mice, and measure how such activation affects behavior. The second experiment will study human patients with hemineglect caused by scotoma (blind spots) to determine whether brain connectivity is also altered. The third experiment will use optical illusions and neuroimaging techniques to test the importance of specific neural activity on changes in conscious perception.

The project is planned to deliver various outputs directed to different target audiences including specialists in the area of consciousness research and related scientific fields, and a wider scientific audience including cognitive scientists, neurobiologists, AI and roboticists, philosophers and clinicians. The intended impact of the project will be to significantly advance our understanding of consciousness.

 

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