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.
Metadata
| HTML Citation | EndNote | Dublin Core | Reference Manager |
Full text not available from this archive.
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.
| 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 |
| Fields of Research (FOR2008): | 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 |
| Subjects: | 290000 Engineering and Technology > 291500 Biomedical Engineering |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 908 |
| Deposited By: | |
| Deposited On: | 11 Oct 2007 10:31 |
| Last Modified: | 09 Jul 2012 15:19 |
Archive Staff Only: edit this record