MofM - Making Rational Decisions
Info
This is a part of noted from reading the book Models of the Mind about Computational Neuroscience.
This chapter Cracking the Neural Code is about the Bayes' rule and the Bayesian brain.
Hermann von Helmholtz
- how humans perceive, decide and act: "unconscious inference"
Girolamo Cardano
- probability of gambling
Pierre-Simon Laplace
- the equation for inverse probability
Thomas Bayes
- the Bayes' rule - based on the problem for inverse probability
early work on Bayesian principles in the brain
- Renwick Curry: motion perception (of astronauts)
- William Viscusi: economical decision-making
1987, John Anderson
- rational analysis: humans should have evolved to behave as rationally as possible
- e.g. memory recall should be rational (and can be not perfect)
1996, David Knill & Whitman Richards
- book Perception as Bayesian Inference
Example researches
- motion perception
- the switching of ambiguous illusions like the Necker Cube
- confidence
- Dora Angelaki: visual-vestibular
The prior is constant?
- Pascal Mamassian: human assumes light comes from above and slightly to the left
- 1970 :raised chicken showed an inherited prior preferring that light comes from above
- 2010 James Stone: a partially innate prior may be fine-tuned by experience
- 2004 : the prior belief about the source of the light can be changed by training
Neural signatures of the Bayesian brain
- 2011, Brian Fischer et al: neural representations of priors in owl's brain