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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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Action understanding and active inference.

Karl Friston1, Jérémie Mattout, James Kilner

  • 1The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, Queen Square, UK. k.friston@fil.ion.ucl.ac.uk

Biological Cybernetics
|February 18, 2011
PubMed
Summary
This summary is machine-generated.

The mirror-neuron system may implement Bayes-optimal perception of actions. Neuronal simulations show shared representations for motor behavior and intentions, supporting action as active inference.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • The mirror-neuron system is crucial for understanding actions.
  • Current models lack a unified framework for action perception and production.
  • Bayes-optimal perception offers a potential framework.

Purpose of the Study:

  • To propose and substantiate that the mirror-neuron system implements Bayes-optimal perception of actions.
  • To demonstrate how neuronal simulations can unify action perception and intention encoding.
  • To link action observation and execution within a predictive coding framework.

Main Methods:

  • Neuronal simulations based on the free-energy formulation of active inference.
  • Modeling action perception and intention encoding using generative models.
  • Simulating handwriting to generate and recognize motor trajectories.
  • Producing synthetic electrophysiological responses to intentional expectation violations.

Main Results:

  • The same representations can prescribe motor behavior and encode motor intentions during action observation.
  • Generative models can predict actions of self and others by adjusting attention to proprioceptive signals.
  • Simulations successfully generated and recognized itinerant motor trajectories.
  • Synthetic data showed responses to violations of intentional expectations.

Conclusions:

  • A Bayes-optimal approach provides a principled framework for the mirror-neuron system.
  • This framework aligns with active inference formulations of action.
  • Shared representations support both action execution and intention encoding.