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Generative models as parsimonious descriptions of sensorimotor loops
by
Baltieri, Manuel
, Buckley, Christopher L.
in
Bayes Theorem
/ Bayesian analysis
/ Brain
/ Cognition & reasoning
/ Control theory
/ Free energy
/ Mathematical models
/ Metaphor
/ Neurosciences
/ Open Peer Commentary
/ Semantics
/ Sensorimotor system
2019
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Generative models as parsimonious descriptions of sensorimotor loops
by
Baltieri, Manuel
, Buckley, Christopher L.
in
Bayes Theorem
/ Bayesian analysis
/ Brain
/ Cognition & reasoning
/ Control theory
/ Free energy
/ Mathematical models
/ Metaphor
/ Neurosciences
/ Open Peer Commentary
/ Semantics
/ Sensorimotor system
2019
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Do you wish to request the book?
Generative models as parsimonious descriptions of sensorimotor loops
by
Baltieri, Manuel
, Buckley, Christopher L.
in
Bayes Theorem
/ Bayesian analysis
/ Brain
/ Cognition & reasoning
/ Control theory
/ Free energy
/ Mathematical models
/ Metaphor
/ Neurosciences
/ Open Peer Commentary
/ Semantics
/ Sensorimotor system
2019
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Generative models as parsimonious descriptions of sensorimotor loops
Journal Article
Generative models as parsimonious descriptions of sensorimotor loops
2019
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Overview
The Bayesian brain hypothesis, predictive processing, and variational free energy minimisation are typically used to describe perceptual processes based on accurate generative models of the world. However, generative models need not be veridical representations of the environment. We suggest that they can (and should) be used to describe sensorimotor relationships relevant for behaviour rather than precise accounts of the world.
Publisher
Cambridge University Press
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