Frontiers | A Bayesian model for chronic pain
The perceiving mind constructs our coherent and embodied experience of the world from noisy, ambiguous and multi-modal sensory information. In this paper, we...
Abstract The perceiving mind constructs our coherent and embodied experience of the world from noisy, ambiguous and multi-modal sensory information. In this paper, we adopt the perspective that the experience of pain may similarly be the result of a probabilistic, inferential process. Prior beliefs about pain, learned from past experiences, are combined with incoming sensory information in a Bayesian manner to give rise to pain perception. Chronic pain emerges when prior beliefs and likelihoods are biased towards inferring pain from a wide range of sensory data that would otherwise be…
saved by
related reading
- Why Harmless Sensations Might Hurt in Individuals with Chronic Pain: About Heightened Prediction and Perception of Pain in the Mindfrontiersin.org
- Four Principles of Pain - by Max Shen - Debug Your Painessays.debugyourpain.com
- Bayesian Neural Networkscs.toronto.edu
- It’s Bayes All The Way Upslatestarcodex.com
- Internal Models in Biological Controlpmc.ncbi.nlm.nih.gov
- Free energy principle - Wikipediaen.wikipedia.org
- Bayesian programming - Wikipediaen.wikipedia.org
- Conductance-based dendrites perform Bayes-optimal cue integrationpmc.ncbi.nlm.nih.gov
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response databiorxiv.org
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response datapmc.ncbi.nlm.nih.gov
- Why I'm not a Bayesianmindthefuture.info
- Gershman17_dopamine.pdfgershmanlab.com