摘要
In this paper the four-dimensional dynamic diffusing mechanism and the enhancement in Long-Term Potentiation (LTP) of intrinsic nitric oxide (NO) in nervous system are studied computationally. A novel unsupervised Diffusing Self-Organizing Maps (DSOM) model is presented on the union of SOM with NO diffusing mechanism. Based on the spatial prototype mapping, temporal enhancement is introduced in DSOM and the fine-tuning manner is improved by the simplified NO diffusing mechanism. Furthermore, the quantization error of optimal weights is valuated and the detailed noise analysis of DSOM is presented. Finally some typical stimulation experiments are presented to illustrate how DSOM gracefully handles time warping and multiple patterns with overlapping reference vectors.
基金
This work was supported by the National Natural Science Foundation of China(Grant Nos.60171003.30370416)
the National Distinguished Young Scholars Fund of China(Grant No,60225015)
the Ministry of Science and Technology of China(Grant No.2001CCA04100)
the Ministry of Education of China(TRAPOYT Project).
