Bayes optimality of human perception, action and learning: behavioural and neural evidence
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Authors
Colleges, School and Institutes
Abstract
The primary role of any biological nervous system (including the human) is to process incoming information in a way that allows motor choices to be made that increases the subjective utility of the organism. Or put slightly differently, “to make sure good things happen”. There are a number of ways that such a process can be done, but one possible hypothesis is that the human nervous system has been optimized to maximize the use of available resources, thus approximating optimal computations. In the following I will discuss the possibility of the nervous system performing such computations in perception, action and learning, and the behavioural and neural evidence supporting such ideas.
Bibliographic note
Details
Original language | English |
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Title of host publication | Brain-Inspired Computing |
Subtitle of host publication | Lecture Notes in Computer Science |
Publication status | Published - 2014 |
Event | International Workshop on Brain-Inspired Computing - Cetraro, Italy Duration: 8 Jul 2013 → 11 Jul 2013 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8603 |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | International Workshop on Brain-Inspired Computing |
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Country | Italy |
City | Cetraro |
Period | 8/07/13 → 11/07/13 |
Keywords
- Bayesian inference, Behaviour, fMRI, Neural recordings, Optimality, Reinforcement learning