2019-01-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/699515摘要:個體對於新脈絡與環境的適應展現了高超的認知靈活性,這樣的靈活性依賴三種認知能力的協同運作,包括:將作業目標相關的訊息暫時地維持在短期記憶、對於進入訊息或事件產生適當預期與合適的行為反應,以及依賴個體對於過去經驗與作業目標的整合。簡言之,我們必須使用過去經驗或知識,根據作業目標逐步地調整行為以準備合適的動作。儘管至今對人類認知的研究有著無可爭辯的進展,但是目前仍然不清楚作業經驗對於短期記憶項目的預期與記憶訊息維持是如何產生無意識的調節。在本研究計畫中,我將從不同層次探討作業經驗是否與如何對短期記憶表徵產生無意識的影響,我將結合機器學習取向分析方法與非侵入性大腦功能造影研究方法,解譯作業經驗對短期記憶表徵無意識影響的神經表徵。在第一年,我將使用行為實驗與腦電圖儀,解譯作業預期編碼的腦波振盪與活化表徵型態。在第二年,我將使用行為實驗與功能性磁振造影,解譯功能性活化表徵型態與功能性連結。在第三年,我將使用行為實驗與腦磁圖儀,解譯腦波振盪活化表徵型態與神經網路功能性連結變化。本計畫所提出的成果將為人類的認知靈活性,即作業經驗對於個體行為無意識的影響,建立實證基礎並能強力推動更深入的工作。<br> Abstract: Humans exhibit a remarkable cognitive flexibility to adapt to novel situations or new environments. This great flexibility relies on three cognitive abilities in concert. Firstly, one must maintain goal-relevant representations in short-term memory (STM). Next, achieving one’s goal depends on the anticipation of upcoming events, and one must act in such a way that the future outcome will be in accordance with the desired outcome. Finally, such anticipation relies on one’s past experiences associated with goal-relevant information for a particular event. Together, one must use past experiences or prior knowledge to prepare for appropriate actions whilst adjusting behaviours towards the goal based on the task. Experience of task is thus of considerably importance in human cognition. However, despite the unquestionable progress of research on human cognition to date, the field has scarcely considered the critical role that task experience in driving unconscious influences on the preparation and maintenance for the relevant events. This grant proposal aims to explore whether and how task experience could enable unconscious influences on the STM representations. I will conduct machine learning based analysis on functional brain imaging data and decode the neural representations for brain oscillations and functional maps/connectivity using noninvasive brain imaging methods including electroencephalography (EEG) (first year), functional magnetic resonance imaging (fMRI) (second year), and magnetoencephalography (MEG) (third year) as well as behavioural measures. Results from this research proposal will build up the empirical foundation and provide the intellectual impetus for in-depth work into this essential but this far neglected aspect of human cognition – the way in which task experiences can proactively affect our behaviours.注意神經影像機器學習記憶無意識attentionneuroimagingmachine Learningmemoryunconsciousness高等教育深耕計畫-學術生涯發展計畫深耕型計畫【利用機器學習解譯作業經驗對短期記憶表徵無意識調節的神經活化型態 - 整合性人類大腦功能造影研究】