臺灣博碩士論文加值系統

我們從Bair， Zohary and Newsome的網頁上收集到MT區成對神經元對視覺刺激的關聯反應資料。我們應用波茲獨立成份分析法粹取MT區神經元關聯反應中獨立的時間激發速率，並以從資訊理論的觀點探討獨立成分建構有效的神經解碼的重要性及適用性。

In this work，the dataset that we analysis is provided by Bair，Zohary and Newsome，a collection of pairwise spike trains generated by pairs of MT neurons。We apply the technique of independent component analysis and the optimal kernel methodology to extract independent time-varying firing rates and uncorrelated ones from correlated neuronal responses in area MT，and explore their applicability to constructing an effective neural decoder from the point of information theory。

Contents
1. Introduction………………………………………………………1
2. Independent component analysis of correlated firing ……4
A.Decomposition of the generative model…………………4
B.Problem statement……………………………………………6
C.PottsICA independent component analysis………………8
D.Numerical approximation to the marginal entropy………13
E.Results of analyzing correlated firing…………………14
3. The optimal kernel methodology………………………………18
4. Informative analysis of raw spike trains…………………20
5. Conclusions and Discussions……………………………………22
6. References…………………………………………………………23
7. Figure………………………………………………………………25

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