Publications-Theses

題名 視覺意識中的線性與非線性功能連結
Linear and Nonlinear Functional Connectivity
作者 李宏偉
Lee,Hung-Wei
貢獻者 黃淑麗
李宏偉
Lee,Hung-Wei
關鍵詞 視覺意識
同步化
功能性連結
非線性
小波轉換
小世界
visual awareness
synchrony
functional connectivity
nonlinearity
wavelet-transform
small-world
日期 2006
上傳時間 17-Sep-2009 13:17:15 (UTC+8)
摘要 意識的議題古老而難解,但是近年來認知神經科學領域對此議題的探討已經熱烈展開,本研究之主要目的即在探索視覺意識與大腦功能性連結之間的關係。
根據一項人臉知覺的實驗結果,本研究依照線性對非線性、局部對整體等兩項條件所構成的四個取向,分別擬定用以反映視覺意識的腦電波指標。結果發現,線性的局部指標—即γ波的強度,以及線性的整體指標—即γ波的相位耦合程度,兩者皆無法有效反映視覺意識。然而,非線性的局部指標—即吸子的相關維度,在特定通道上可以反映視覺意識;至於非線性的整體指標—即廣義的同步化程度,乃為四者中最能穩定反映視覺意識的指標。
除了得到上述若干可以有效反映視覺意識的腦電波指標之外,本研究實質上整合了認知神經科學、非線性動力系統理論、小波轉換理論以及小世界理論等當代思維,因此文中亦做出大量而深入的理論探討,並且提出對現有相關研究在邏輯或方法上的改進與澄清。
Consciousness is an ancient and puzzling mystery. Until recently, scientists have made little significant progress on it. This study is aimed to search for the neural correlates of visual awareness.<br>Based on empirical data from an experiment of face perception, this study explores linear vs. nonlinear and local vs. global human EEG indexes of visual awareness. The results indicate that neither linear local index, i.e. γ-band power, nor linear global index, i.e. γ-band phase coherence, can reveal the participant’s state of awareness validly. However, nonlinear local index, i.e. correlation dimension of attractor, can be a valid index of visual awareness, but only on specific channels. Last but not least, nonlinear global index, i.e. generalized synchrony, can be the most valid and efficient index of visual awareness.<br>In addition to the empirical findings listed above, this study, an interdisciplinary combination of cognitive neuroscience, chaos theory, wavelet transform and small-world theory, also presents numerous theoretical discussions and modifications to other related studies logically or methodologically.
參考文獻 李宏偉(民96 a)。非線性動力系統理論與心理學(一):概念與邏輯。玄奘社會科學學報,出版中。
李宏偉(民96 b)。非線性動力系統理論與心理學(二):分析與驗證。玄奘社會科學學報,出版中。
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描述 博士
國立政治大學
心理學研究所
89752503
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0897525031
資料類型 thesis
dc.contributor.advisor 黃淑麗zh_TW
dc.contributor.author (Authors) 李宏偉zh_TW
dc.contributor.author (Authors) Lee,Hung-Weien_US
dc.creator (作者) 李宏偉zh_TW
dc.creator (作者) Lee,Hung-Weien_US
dc.date (日期) 2006en_US
dc.date.accessioned 17-Sep-2009 13:17:15 (UTC+8)-
dc.date.available 17-Sep-2009 13:17:15 (UTC+8)-
dc.date.issued (上傳時間) 17-Sep-2009 13:17:15 (UTC+8)-
dc.identifier (Other Identifiers) G0897525031en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/32506-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 心理學研究所zh_TW
dc.description (描述) 89752503zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) 意識的議題古老而難解,但是近年來認知神經科學領域對此議題的探討已經熱烈展開,本研究之主要目的即在探索視覺意識與大腦功能性連結之間的關係。
根據一項人臉知覺的實驗結果,本研究依照線性對非線性、局部對整體等兩項條件所構成的四個取向,分別擬定用以反映視覺意識的腦電波指標。結果發現,線性的局部指標—即γ波的強度,以及線性的整體指標—即γ波的相位耦合程度,兩者皆無法有效反映視覺意識。然而,非線性的局部指標—即吸子的相關維度,在特定通道上可以反映視覺意識;至於非線性的整體指標—即廣義的同步化程度,乃為四者中最能穩定反映視覺意識的指標。
除了得到上述若干可以有效反映視覺意識的腦電波指標之外,本研究實質上整合了認知神經科學、非線性動力系統理論、小波轉換理論以及小世界理論等當代思維,因此文中亦做出大量而深入的理論探討,並且提出對現有相關研究在邏輯或方法上的改進與澄清。
zh_TW
dc.description.abstract (摘要) Consciousness is an ancient and puzzling mystery. Until recently, scientists have made little significant progress on it. This study is aimed to search for the neural correlates of visual awareness.<br>Based on empirical data from an experiment of face perception, this study explores linear vs. nonlinear and local vs. global human EEG indexes of visual awareness. The results indicate that neither linear local index, i.e. γ-band power, nor linear global index, i.e. γ-band phase coherence, can reveal the participant’s state of awareness validly. However, nonlinear local index, i.e. correlation dimension of attractor, can be a valid index of visual awareness, but only on specific channels. Last but not least, nonlinear global index, i.e. generalized synchrony, can be the most valid and efficient index of visual awareness.<br>In addition to the empirical findings listed above, this study, an interdisciplinary combination of cognitive neuroscience, chaos theory, wavelet transform and small-world theory, also presents numerous theoretical discussions and modifications to other related studies logically or methodologically.en_US
dc.description.tableofcontents 第一章 緒論 7
第一節 視覺意識神經基礎的當代課題 8
第二節 從細胞集合到功能性連結 11
第三節 無所不在的同步振盪 13
一、 振盪與同步化 14
二、 非線性動力系統理論 15
三、 廣義的同步振盪 18
四、 同步振盪指標 19
第四節 視覺意識形成的瞬間 20
第五節 功能性連結的量化分析 22
一、 小世界理論 23
二、 大腦小世界 25
第六節 探索線性與非線性視覺意識功能連結 25
第二章 研究目的與架構 28
第三章 實驗設計 29
第一節 實驗設計 30
第二節 實驗設備 31
一、 實驗程序控制系統 31
二、 腦電波記錄系統 31
第三節 實驗刺激 31
第四節 參與者 32
第五節 實驗流程 32
第四章 線性局部同步化分析 34
第一節 重複驗證RODRIGUEZ等人研究 34
第二節 比較各種時間頻率分析方法 36
第三節 線性局部同步化指標 38
第五章 非線性局部同步化分析 41
第一節 所有通道的吸子維度變化 42
第二節 設法找尋低維度通道 43
第六章 線性整體同步化分析 48
第一節 線性的相位耦合指標 48
第二節 網絡結構的動態分析 50
第七章 非線性整體同步化分析 55
第一節 廣義的同步化指標 55
第二節 網絡結構的動態分析 57
第三節 廣義同步化指標的強韌性 59
第八章 區域性連結型態與視覺意識 62
第一節 前後腦區的連結型態與視覺意識 62
第二節 左右腦區的連結型態與視覺意識 64
第九章 綜合討論 66
第一節 本研究的發現 66
第二節 本研究的改進 68
一、 對於Rodriguez等人研究的改進 68
二、 對於Lachaux等人研究的改進 68
三、 對於Stam等人研究的改進 69
第三節 本研究的限制與發展 69
一、 分析方法的限制與發展 70
二、 研究設備的限制與發展 70
三、 實驗設計的限制與發展 71
四、 理論架構的限制與發展 72
第十章 結論 73
參考文獻 74
附錄A 非線性時間序列分析 82
第一節 相空間重建 82
一、 嵌入維度的估計 83
二、 延宕時間的估計 84
第二節 吸子分析 86
一、 碎形幾何 86
二、 相關維度 87
第三節 代用資料驗證 88
一、 基本邏輯 89
二、 代用資料的產生 90
附錄B 小波分析 92
第一節 傅立葉轉換 92
第二節 短時傅立葉轉換 93
第三節 小波轉換 94
附錄C 同步化分析 96
第一節 線性取向 96
一、 相位耦合 96
二、 相位同步 97
第二節 非線性取向 98
一、 SL指標 99
二、 S/H/N指標 100
第三節 綜合比較 102
附錄D 網絡結構分析 103
附錄E 實驗程式原始碼 104
附錄F 分析程式原始碼 117
COMPUTEERSP.M 117
COMPUTEERPCOH.M 117
COMPUTESPWV.M 118
COMPUTEWINDOWD2.M 119
COMPUTERWINDOWGS(33CH).M 120
COMPUTECONNECTERPCOH(33CH).M 121
COMPUTECONNECTGS(33CH).M 121
COMPUTESMALLWORLD(33CH).M 122
DRAWCONNECTERPCOH.M 123
DRAWCONNECTGS.M 123
GENSHUFFLECHANNELS.M 123
CUT58CHTO33CH.M 124
附錄G 實驗指導語 125
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0897525031en_US
dc.subject (關鍵詞) 視覺意識zh_TW
dc.subject (關鍵詞) 同步化zh_TW
dc.subject (關鍵詞) 功能性連結zh_TW
dc.subject (關鍵詞) 非線性zh_TW
dc.subject (關鍵詞) 小波轉換zh_TW
dc.subject (關鍵詞) 小世界zh_TW
dc.subject (關鍵詞) visual awarenessen_US
dc.subject (關鍵詞) synchronyen_US
dc.subject (關鍵詞) functional connectivityen_US
dc.subject (關鍵詞) nonlinearityen_US
dc.subject (關鍵詞) wavelet-transformen_US
dc.subject (關鍵詞) small-worlden_US
dc.title (題名) 視覺意識中的線性與非線性功能連結zh_TW
dc.title (題名) Linear and Nonlinear Functional Connectivityen_US
dc.type (資料類型) thesisen
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