Internal Models in Biological Control - PMC
Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control. To facilitate the optimization of flexible ...
. Author manuscript; available in PMC: 2019 Nov 1. Abstract Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control. To facilitate the optimization of flexible and robust behaviors consistent with these theories, the ability to construct internal models of the motor system and environmental dynamics can be crucial. In the context of this theoretic formalism, we review the computational roles played by such internal models and the neural and…
saved by
related reading
- The illusion of internal models in biological movementlink.springer.com
- Predictive neural computations in the cerebellum contribute to motor planning and faster behavioral responses in larval zebrafishpmc.ncbi.nlm.nih.gov
- The Case For World Models, Part I: The Neuroscientific Reasonwheremachinesthink.substack.com
- Conductance-based dendrites perform Bayes-optimal cue integrationpmc.ncbi.nlm.nih.gov
- Computational and systems neuroscience: The next 20 yearspmc.ncbi.nlm.nih.gov
- Bridging the gap between theories of sensory cue integration and the physiology of multisensory neuronspmc.ncbi.nlm.nih.gov
- Free energy principle - Wikipediaen.wikipedia.org
- pdfopenreview.net
- A Crash Course in the Neuroscience of Human Motivation — LessWronglesswrong.com
- Book Review: Surfing Uncertaintyslatestarcodex.com
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Reviewarxiv.org
- Translating Predictive Coding Into Perceptual Control | Slate Star Codexslatestarcodex.com