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pro vyhledávání: '"Kurth, Anno C"'
Autor:
Albers, Jasper, Kurth, Anno C., Gutzen, Robin, Morales-Gregorio, Aitor, Denker, Michael, Grün, Sonja, van Albada, Sacha J., Diesmann, Markus
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pattern recognition, group comparison, and graph analysis. Methods propos
Externí odkaz:
http://arxiv.org/abs/2403.17687
We analytically determine the number and distribution of fixed points in a canonical model of a chaotic neural network. This distribution reveals that fixed points and dynamics are confined to separate shells in phase space. Furthermore, the distribu
Externí odkaz:
http://arxiv.org/abs/2210.07877
Publikováno v:
Neuromorph. Comput. Eng. 2 021001 (2022)
Full scale simulations of neuronal network models of the brain are challenging due to the high density of connections between neurons. This contribution reports run times shorter than the simulated span of biological time for a full scale model of th
Externí odkaz:
http://arxiv.org/abs/2111.04398
Autor:
Morales-Gregorio, Aitor, Kurth, Anno C., Ito, Junji, Kleinjohann, Alexander, Barthélemy, Frédéric V., Brochier, Thomas, Grün, Sonja, van Albada, Sacha J.
Publikováno v:
In Cell Reports 23 July 2024 43(7)
Autor:
Senden, Mario, Albada, Sacha J van, Pezzulo, Giovanni, Falotico, Egidio, Hashim, Ibrahim, Kroner, Alexander, Kurth, Anno C, Lanillos, Pablo, Narayanan, Vaishnavi, Pennartz, Cyriel, Petrovici, Mihai A, Steffen, Lea, Weidler, Tonio, Goebel, Rainer
Publikováno v:
National Science Review; May2024, Vol. 11 Issue 5, p1-4, 4p
Akademický článek
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Publikováno v:
arXiv (2022). doi:10.48550/ARXIV.2210.07877
We analytically determine the distribution of fixed points in a canonical model of a chaotic neural network. This distribution reveals that fixed points and dynamics are confined to separate shells in phase space. Furthermore, the distribution enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::074d5cd9b774fbf3d4693320a2a91a94
http://arxiv.org/abs/2210.07877
http://arxiv.org/abs/2210.07877
Publikováno v:
Bernstein Conference 2022, Berlin, Germany, 2022-09-13-2022-09-16
Bernstein Conference 2022 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::814ee93f85ea21e6165565e42d88e90f