動的モード分解の概要と活用法―神経システムの制御問題への応用を目指して―
Author:
Affiliation:
1. Graduate School of Arts and Sciences, the University of Tokyo
Publisher
Japanese Neural Network Society
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jnns/30/2/30_73/_pdf
Reference27 articles.
1. 1) Gu, S., et al. (2015): Controllability of structural brain networks, Nat. Commun., Vol.6, 8414.
2. 2) Kim, J. Z., et al. (2018): Role of graph architecture in controlling dynamical networks with applications to neural systems, Nat. Phys., Vol.14, pp.91-98.
3. 3) Stiso, J. et al. (2019): White matter network architecture guides direct electrical stimulation through optimal state transitions, Cell Rep., Vol.28, pp.2554-2566.e7.
4. 4) Szymula, K. P., Pasqualetti, F., Graybiel, A. M., Desrochers, T. M., Bassett, D. S. (2020): Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys, ArXiv:2006.14565; https://arxiv.org/abs/2006.14565.
5. 5) Cornblath, E. J., et al. (2020): Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands, Commun. Biol., Vol.3, 261.
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