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Recurrent processes support a cascade of hierarchical decisions.

Laura Gwilliams1,2, Jean-Remi King1,3,4

  • 1Department of Psychology, New York University, New York, United States.

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This study decodes the brain

Keywords:
decodinghumanhuman brainmagnetoencephalographyneuroscienceperceptual decision makingreadingrecurrence

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Neuroimaging

Background:

  • Perception involves feedforward and recurrent neural processing.
  • The computational organization of recurrent processing is not well understood.
  • Understanding recurrent processing is crucial for explaining perceptual decisions.

Purpose of the Study:

  • To investigate the computational organization of recurrent processing during reading.
  • To localize, track, and decode feedforward and recurrent brain responses.
  • To elucidate the role of recurrent neural assemblies in forming perceptual reports.

Main Methods:

  • Magnetoencephalography (MEG) was used to record brain activity.
  • Parametric manipulation of letter and digit ambiguity was employed.
  • Decoding analyses were performed to interpret brain responses.

Main Results:

  • Feedforward responses were confirmed in ventral and dorsal pathways within 200 ms.
  • Subsequent activity across temporal, parietal, and prefrontal cortices showed hierarchical representations.
  • Recurrent neural assemblies were found to maintain and broadcast representations, explaining response timing and content.

Conclusions:

  • Recurrent processing generates a cascade of decisions over time.
  • This cascade of decisions accounts for perceptual reports and reaction times.
  • The study provides insights into the computational mechanisms of recurrent neural networks in perception.