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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Permanent restricted access to Published version due to publisher copyright policy.|
|Uncontrolled Keywords:||Bayesian rule, brain model, state estimate, prediction|
|Subjects:||290000 Engineering and Technology > 291500 Biomedical Engineering|
|Depositing User:||epEditor USQ|
|Date Deposited:||11 Oct 2007 00:31|
|Last Modified:||25 Nov 2013 01:06|
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