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Bayesian Models of Brain and Behaviour
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-23
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
This paper presents a review of Bayesian models of brain and behaviour.
We first review the basic principles of Bayesian inference.
This is followed by descriptions of sampling and variational methods for approximate inference, and forward and backward recursions in time for inference in dynamical models.
The review of behavioural models covers work in visual processing, sensory integration, sensorimotor integration, and collective decision making.
The review of brain models covers a range of spatial scales from synapses to neurons and population codes, but with an emphasis on models of cortical hierarchies.
We describe a simple hierarchical model which provides a mathematical framework relating constructs in Bayesian inference to those in neural computation.
We close by reviewing recent theoretical developments in Bayesian inference for planning and control.
American Psychological Association (APA)
Penny, William. 2012. Bayesian Models of Brain and Behaviour. ISRN Biomathematics،Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-497953
Modern Language Association (MLA)
Penny, William. Bayesian Models of Brain and Behaviour. ISRN Biomathematics No. 2012 (2012), pp.1-19.
https://search.emarefa.net/detail/BIM-497953
American Medical Association (AMA)
Penny, William. Bayesian Models of Brain and Behaviour. ISRN Biomathematics. 2012. Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-497953
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497953