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課程名稱 |
認知科學書報討論
Discussion on Cognitive Neuroscience Research Papers |
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開課學期 |
110-2 |
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授課對象 |
醫學院 腦與心智科學研究所 |
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授課教師 |
吳恩賜 |
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課號 |
GIBMS7114 |
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課程識別碼 |
454EM0330 |
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班次 |
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學分 |
2.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二7,8(14:20~16:20) |
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上課地點 |
基1203 |
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備註 |
本課程以英語授課。與王培育、黃憲松、曾明宗、姚皓傑合授
限本系所學生(含輔系、雙修生) 且 限碩士班以上
總人數上限：15人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1102GIBMS7114_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Please see the English version. |
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課程目標 |
Please see the English version. |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
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參考書目 |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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Week 1 |
2/15 |
Introduction (no paper discussion), coordinate bibliography, paper assignments. |
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Week 2 |
2/22 |
(1) Kolchinsky & Wolpert (2021). Entropy production given constraints on the energy functions. Physical Review. E, 104(3–1), 034129. https://doi.org/10.1103/PhysRevE.104.034129
(2) Lynn et al. (2021). Broken detailed balance and entropy production in the human brain. Proceedings of the National Academy of Sciences of the United States of America, 118(47). https://doi.org/10.1073/pnas.2109889118 |
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Week 3 |
3/01 |
(1) Petitet, P., Attaallah, B., Manohar, S. G., & Husain, M. (2021). The computational cost of active information sampling before decision-making under uncertainty. Nature Human Behaviour, 5(7), 935–946.https://doi.org/10.1038/s41562-021-01116-6
(2) White, J. K., Bromberg-Martin, E. S., Heilbronner, S. R., Zhang, K., Pai, J., Haber, S. N., & Monosov, I. E. (2019). A neural network for information seeking. Nature Communications, 10(1), 5168. https://doi.org/10.1038/s41467-019-13135-z |
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Week 4 |
3/08 |
(1) Cliff, O. M., Lizier, J. T., Tsuchiya, N., and Fulcher, B. D. (2022). Unifying pairwise interactions in complex dynamics. https://doi.org/10.48550/arXiv.2201.11941
(2) Chen, Q., Baran, T. M., Turnbull, A., Zhang, Z., Rebok, G. W., & Lin, F. V. (2021). Increased segregation of structural brain networks underpins enhanced broad cognitive abilities of cognitive training. Human brain mapping, 42(10), 3202–3215. https://doi.org/10.1002/hbm.25428 |
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Week 5 |
3/15 |
(1) Eikelboom et al. (2021). Neuropsychiatric and cognitive symptoms across the Alzheimer disease clinical spectrum: Cross-sectional and longitudinal associations. Neurology, 97(13), e1276-e1287. https://doi.org/10.1212/WNL.0000000000012598
(2) Faskowitz, J., Esfahlani, F. Z., Jo, Y., Sporns, O., & Betzel, R. F. (2020). Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture. Nature Neuroscience, 1–11. https://doi.org/10.1038/s41593-020-00719-y |
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Week 6 |
3/22 |
(1) Horne, K.S., Filmer, H.L., Nott, Z.E. et al. Evidence against benefits from cognitive training and transcranial direct current stimulation in healthy older adults. Nat Hum Behav 5, 146–158 (2021). https://doi.org/10.1038/s41562-020-00979-5
(2) Brunec, I. K., & Momennejad, I. (2022). Predictive Representations in Hippocampal and Prefrontal Hierarchies. Journal of Neuroscience, 42(2), 299–312. https://doi.org/10.1523/JNEUROSCI.1327-21.2021 |
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Week 7 |
3/29 |
(1) Petri, G., Musslick, S., Dey, B., Özcimder, K., Turner, D., Ahmed, N. K., Willke, T. L., & Cohen, J. D. (2021). Topological limits to the parallel processing capability of network architectures. Nature Physics. https://doi.org/10.1038/s41567-021-01170-x
(2) Mostame, P. and Sadaghiani, S. (2021). Oscillation-based connectivity architecture is dominated by an intrinsic spatial organization, not cognitive state or frequency. Journal of Neuroscience, 41(1):179–192. https://doi.org/10.1523/JNEUROSCI.2155-20.2020 |
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Week 8 |
4/05 |
Qingming Festival (no class) |
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Week 9 |
4/12 |
(1) Wang, Z. (2021). The neurocognitive correlates of brain entropy estimated by resting state fMRI. Neuroimage, 232, 117893. https://doi.org/10.1016/j.neuroimage.2021.117893 |
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Week 12 |
5/03 |
(1) Jang, J. Y., Han, S. D., Yew, B., Blanken, A. E., Dutt, S., Li, Y., Ho, J. K., Gaubert, A., & Nation, D. A. (2021). Resting-state functional connectivity signatures of apathy in community-living older adults. Frontiers in Aging Neuroscience, 13. https://doi.org/10.3389/fnagi.2021.691710 |
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