Li, Yan and Wen, Peng (2005) Bayesian model for brain computation. In: 2005 International Conference on Complex Medical Engineering (CME 2005), 15-18 May 2005, Takamatsu, Japan.
[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)|
|Item Status:||Live Archive|
|Additional Information:||Permanent restricted access to Published version due to publisher copyright policy.|
|Depositing User:||epEditor USQ|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering|
|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 :||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
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