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