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). |
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