Data for Brain Reference Architecture of TN24HippocampalFormation
Neural architecture for spatial cognition
DOI:
https://doi.org/10.51094/jxiv.802キーワード:
Brain Reference Architecture、 Hippocampal Formation、 Spatial Cognition抄録
The hippocampal formation is a crucial brain region for spatial cognition and episodic memory. The BRA data noted in this data paper focused on the anatomical structure of this region and its functionality in spatial cognition.
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The author(s) has/have no competing interests to declare.ダウンロード *前日までの集計結果を表示します
引用文献
Deshmukh, S. S., & Knierim, J. J. (2011). Representation of Non-Spatial and Spatial Information in the Lateral Entorhinal Cortex. Frontiers in Behavioral Neuroscience, 5 , 69. DOI: 10.3389/fnbeh.2011.00069
Hargreaves, E. L., Rao, G., Lee, I., & Knierim, J. J. (2005). Major Dissociation Between Medial and Lateral Entorhinal Input to Dorsal Hippocampus. Science, 308 (5729), 1792–1794. DOI: 10.1126/science. 1110449
Knierim, J. J., Neunuebel, J. P., & Deshmukh, S. S. (2014). Functional correlates of the lateral and medial entorhinal cortex: objects, path integration and local-global reference frames. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 369, 20130369. DOI: 10.1098/rstb.2013.0369
O’Keefe, J., & Nadel, L. (1979). Pr´ecis of o’keefe & nadel’s the hippocampus as a cognitive map. Behavioral and Brain Sciences, 2 (4), 487–494. DOI: 10.1017/S0140525X00063949
Taniguchi, A., Fukawa, A., & Yamakawa, H. (2022). Hippocampal formation-inspired probabilistic generative model. Neural Networks, 151 , 317-335. Retrieved from https://www.sciencedirect.com/science/article/pii/S0893608022001332 DOI:https://doi.org/10.1016/j.neunet.2022.04.001
Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological review, 55 (4), 189.
Wang, C., Chen, X., & Knierim, J. J. (2020). Egocentric and allocentric representations of space in the rodent brain. Current Opinion in Neurobiology, 60 , 12-20. Retrieved from https://www.sciencedirect.com/science/article/pii/S0959438819301035 (Neurobiology of Behavior) DOI: https://doi.org/10.1016/j.conb.2019.11.005
Yamakawa, H. (2021). The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain. Neural Networks, 144 , 478–495. DOI: 10.1016/j.neunet.2021.09.004
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投稿日時: 2024-07-10 12:32:36 UTC
公開日時: 2024-07-19 04:53:59 UTC
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Copyright(c)2024
Takeshi Nakashima
Akira Taniguchi
Ayako Fukawa
Hiroshi Yamakawa
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