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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Psychomotor Predictive Processing.

Stephen Fox1

  • 1VTT Technical Research Centre of Finland, FI-02150 Espoo, Finland.

Entropy (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Predictive processing theory explains psychomotor experiences based on predictions, not just sensory input. This study extends the theory to bridge neuroscience and subjective experience, aiding new technologies.

Keywords:
Society 5.0active inferencecritical realismembodimentexperiencehierarchical predictive processinghuman–robotpainpredictive global neuronal workspacepsychomotor

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Area of Science:

  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Robotics

Background:

  • Psychomotor experience is influenced by predictions, potentially diverging from sensory input.
  • Existing predictive processing theories have limitations in explaining embodied cognition and psychomotor functioning.
  • The increasing integration of technology necessitates a deeper understanding of psychomotor adaptation.

Purpose of the Study:

  • To extend predictive processing theory to encompass fundamental aspects of psychomotor functioning.
  • To establish a scientific basis linking objective neuroscience with subjective experience in predictive processing.
  • To provide a framework for incorporating predictive processing into the design and operation of robotic and technological systems.

Main Methods:

  • Developing a novel formulation of hierarchical predictive processing.
  • Integrating principles of embodied cognition with neuroscience and subjective experience.
  • Analyzing the impact of new technologies on psychomotor systems.

Main Results:

  • A new formulation of hierarchical predictive processing specifically tailored for psychomotor functioning is introduced.
  • The study provides a theoretical bridge between objective neuroscientific data and subjective psychomotor experience.
  • The proposed framework offers insights into how technological integration affects human psychomotor adaptation.

Conclusions:

  • Predictive processing theory can be significantly enhanced to explain psychomotor experiences.
  • Understanding predictive processing is crucial for designing human-compatible robotic and technological systems.
  • This work lays the foundation for future research at the intersection of neuroscience, psychology, and artificial intelligence.