A neurocentric approach to Bayesian inference

Nature Reviews Neuroscience

Volumn 11, Issue 8, 2010, Pages 605-

  Fiorillo, Christopher D ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BAYES THEOREM; BRAIN; HUMAN; NERVE CELL NETWORK; NOTE; PHYSIOLOGY;

ANIMALS; BAYES THEOREM; BRAIN; HUMANS; NERVE NET;

EID: 77955506491     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/nrn2787-c1     Document Type: Letter

References (7)

1. Friston, K. The free-energy principle: a unified brain theory? Nature Rev. Neurosci. 11, 127-138 (2010).
2. Weiss, Y., Simoncelli, E. P. & Adelson, E. H. Motion illusions as optimal percepts. Nature Neurosci. 5, 598-604 (2002).
3. Yang, Z. & Purves, D. A statistical explanation of visual space. Nature Neurosci. 6, 632-640 (2003).
4. Niemeier, M., Crawford, J. D. & Tweed, D. Optimal transsaccadic integration explains distorted spatial perception. Nature 422, 76-80 (2003).
5. Kording, K. P. & Wolpert, D. M. Bayesian integration in sensorimotor learning. Nature 427, 244-247 (2004).
6. Jaynes, E. T. Probability Theory: The Logic of Science (Cambridge Univ. Press, 2003).
7. Fiorillo, C. D. Towards a general theory of neural computation based on prediction by single neurons. PLoS ONE 3, e3298 (2008).