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pro vyhledávání: '"Jasper Albers"'
Autor:
Gianmarco Tiddia, Bruno Golosio, Jasper Albers, Johanna Senk, Francesco Simula, Jari Pronold, Viviana Fanti, Elena Pastorelli, Pier Stanislao Paolucci, Sacha J. van Albada
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Spiking neural network models are increasingly establishing themselves as an effective tool for simulating the dynamics of neuronal populations and for understanding the relationship between these dynamics and brain function. Furthermore, the continu
Externí odkaz:
https://doaj.org/article/f290692a20e2448bbd7f2fc006908d81
Autor:
Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease. This process goes hand in hand with advancements in the theory of neuronal networks and increasing availabil
Externí odkaz:
https://doaj.org/article/0655fab413104b4595212fcfc1109d72
Publikováno v:
Journal of Cosmology and Astroparticle Physics. 2019:028-028
Einstein-Boltzmann Solvers (EBSs) are run on a massive scale by the cosmology community when fitting cosmological models to data. We present a new concept for speeding up such codes with neural networks. The originality of our approach stems from not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cd5a701d22585ceb0d372cb9ea520b2
https://doi.org/10.1088/1475-7516/2019/09/028
https://doi.org/10.1088/1475-7516/2019/09/028