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The Many Roles of Precision in Action.
Jakub Limanowski1, Rick A Adams2,3, James Kilner2
1Institute of Psychology, University of Greifswald, 17487 Greifswald, Germany.
Entropy (Basel, Switzerland)
|September 27, 2024
Summary
Active inference explains behavior as minimizing surprise via generative models. This study highlights precision
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Psychiatry
Background:
- Active inference posits behavior arises from minimizing sensory surprise using generative models.
- Precision, the confidence in neuronal signals, is crucial for perception.
- Its role in action, however, remains less understood.
Purpose of the Study:
- To elucidate the multifaceted roles of precision in action.
- To explore how hierarchical generative models explain precision's function in action planning and execution.
- To discuss implications for understanding action-related pathologies.
Main Methods:
- Review and synthesis of active inference principles.
- Focus on hierarchical, mixed generative models integrating discrete and continuous inference.
- Discussion of neuromodulatory systems in mediating precision.
Main Results:
- Precision is critical for diverse motor processes, including decision-making, action planning, and movement control.
- Hierarchical models provide a unified framework for understanding precision's role across action levels.
- Dysfunctional precision estimation is linked to action pathologies.
Conclusions:
- Precision plays a fundamental role in the planning and execution of action within the active inference framework.
- Hierarchical generative models offer a powerful lens for studying action and its neural implementation.
- Neuromodulation is implicated in the biological mechanisms of precision estimation.
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