博碩士論文 972201012 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator邵培強zh_TW
DC.creatorPei-chiang Shaoen_US
dc.date.accessioned2011-6-20T07:39:07Z
dc.date.available2011-6-20T07:39:07Z
dc.date.issued2011
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=972201012
dc.contributor.department數學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本研究以麻醉狀況下大鼠前扣帶迴腦皮質 (ACC) 及紋狀體 (STR) 兩腦區於注射「多巴胺第 II 與第 III 類受體高專一性的作用劑」(quinpirole) 的實驗數據為例,利用時間序列的因果分析對神經元之間的連結關係作推論。 分析結果顯示,(1) ACC 內部神經元之間於注射藥物前已有連結,且此連結於注射藥物後穩定地增強。(2) STR 內部神經元之間於注射藥物前後皆無顯著因果關係。(3) ACC 與 STR 之間的神經元於注射藥物前無顯著因果關係,但在注射藥物後產生了由 ACC 至 STR 的資訊流。由於此資訊流的強度較低,我們推測 ACC 與 STR 神經元之連結是間接的,可能透過另一腦核區的神經元。 最後我們依照資訊傳遞的順序將神經元分為「源頭」、「中間」與「目標」三類,並且於注射藥物前後各建構一個神經元子網絡圖。 zh_TW
dc.description.abstractIn this study, we take the neural data which recorded signals from anterior cingulate cortex (ACC) and striatum (STR) during the period of acute quinpirole administration in anesthetized rats as an example, to make inferences on the connections between neurons by determining causality in time series. The results show that, (1) The neurons in ACC were linked before quinpirole administration, and there was a steady increase in the intensity of these linkage after quinpirole administration. (2) There were no significant causal relationships between STR neurons before nor after quinpirole administration.(3) There were no significant causal relationships between ACC and STR neurons before quinpirole administration, but information flows from ACC to STR arose after quinpirole administration. Because of the low intensity of these information flows, we conjecture that the connections between ACC and STR neurons are mediated by some undetected neurons. Finally, neurons were classified into "source", "middle" and "target" three groups according to the order of information delivery. And we construct individually a neural subnetwork before and after quinpirole administration. en_US
DC.subject自迴歸模型zh_TW
DC.subject神經元訊號zh_TW
DC.subject因果性指標zh_TW
DC.subjectsignals of neuronsen_US
DC.subjectGCIen_US
DC.subjectautoregressive modelen_US
DC.title以自迴歸模型分析神經元訊號間之因果關係zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Study on the Causality between the Signals of Neurons by the Autoregressive Modelen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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