Li, Yan ORCID: https://orcid.org/0000-0002-4694-4926 and Wen, Peng
ORCID: https://orcid.org/0000-0003-0939-9145
(2005)
Bayesian model for brain computation.
In: 2005 International Conference on Complex Medical Engineering (CME 2005), 15-18 May 2005, Takamatsu, Japan.
Official URL: http://translate.google.com/translate?hl=en&sl=ja&...
Abstract
[Abstract]: In this paper we describe the human brain as a Bayesian based internal model and use a decomposition strategy to learn and make prediction. This model combines two processes which together contribute to the state estimate and mimic the causal flow of a process by predicting next state given the current state and nerve signal using Bayesian rules.
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Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | Permanent restricted access to Published version due to publisher copyright policy. |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Date Deposited: | 11 Oct 2007 00:31 |
Last Modified: | 25 Nov 2013 01:06 |
Uncontrolled Keywords: | Bayesian rule, brain model, state estimate, prediction |
Fields of Research (2008): | 08 Information and Computing Sciences > 0806 Information Systems > 080603 Conceptual Modelling 11 Medical and Health Sciences > 1109 Neurosciences > 110903 Central Nervous System 09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified |
Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460903 Information modelling, management and ontologies 32 BIOMEDICAL AND CLINICAL SCIENCES > 3209 Neurosciences > 320903 Central nervous system 40 ENGINEERING > 4003 Biomedical engineering > 400399 Biomedical engineering not elsewhere classified |
URI: | http://eprints.usq.edu.au/id/eprint/908 |
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