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The phenomenal binding problem for neural networks.

Chris Percy1, Gautam Agarwal2

  • 1Qualia Research Institute, San Francisco, USA; College of Arts, Humanities and Education, University of Derby, Derby, UK.

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Summary
This summary is machine-generated.

Researchers explored artificial neural network (ANN) mechanisms for phenomenal binding, finding current models can achieve functional binding but struggle with phenomenal binding, highlighting challenges for consciousness theories.

Keywords:
ConnectionismFunctional bindingNeural networksPhenomenal bindingPhenomenal consciousness

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Philosophy of Mind

Background:

  • Phenomenal binding, the integration of micro-information into macro-conscious experience, is crucial for theories of consciousness.
  • Understanding this process aids translation between psychological phenomenology and computational neuroscience.

Purpose of the Study:

  • To explore neural network mechanisms for phenomenal binding.
  • To connect phenomenal binding to functional binding, the hard problem, and unity of consciousness.
  • To evaluate existing consciousness theories against a simple artificial neural network (ANN) model.

Main Methods:

  • Defined a simple artificial neural network (ANN) model to investigate phenomenal binding.
  • Assessed the model's capacity for functional and phenomenal binding.
  • Mapped established and potential consciousness theories onto the ANN model's solution space.

Main Results:

  • The ANN model successfully implemented functional binding.
  • The model failed to implement phenomenal binding while distinguishing conscious and unconscious processing.
  • Several theories, including IIT, Orch-OR, and CEMI, align with the proposed solution structure.

Conclusions:

  • Current simple ANN models face limitations in explaining phenomenal binding.
  • Further research is needed to refine existing theories and account for phenomenal binding.
  • The study provides a framework for developing and evaluating future theories of consciousness.