Self-evolution neural model

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	Self-evolution neural model
	Shuai, J. W. ; Chen, Z. X. ; Liu, R. T. ; Wu, B. X. ; Shuai JW(帅建伟)
刊名	http://dx.doi.org/10.1016/0375-9601(96)00594-4
	1996-10-07
关键词	NETWORK MODEL DYNAMICS PATTERNS SYSTEMS NEURONS CHAOS COMPUTATION BEHAVIOR PHASE NOISE
英文摘要	We discuss a self-evolution neural network. The network is usually in the quiescent chaotic state. When a stimulus is applied, the network jumps into the active thinking state and can recognize the input clearly for a time. As time goes on, the network falls into the multiperiodic state gradually and automatically. At last the network slips into the quiescent chaotic state. The self-evolution behavior of the brain can be simply simulated with this model.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/69067]
专题	物理技术－已发表论文
推荐引用方式 GB/T 7714	Shuai, J. W.,Chen, Z. X.,Liu, R. T.,et al. Self-evolution neural model[J]. http://dx.doi.org/10.1016/0375-9601(96)00594-4,1996.
APA	Shuai, J. W.,Chen, Z. X.,Liu, R. T.,Wu, B. X.,&帅建伟.(1996).Self-evolution neural model.http://dx.doi.org/10.1016/0375-9601(96)00594-4.
MLA	Shuai, J. W.,et al."Self-evolution neural model".http://dx.doi.org/10.1016/0375-9601(96)00594-4 (1996).