Zobrazeno 1 - 10
of 71
pro vyhledávání: '"spiking neuronal network"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Data-driven spiking neuronal network (SNN) models enable in-silico analysis of the nervous system at the cellular and synaptic level. Therefore, they are a key tool for elucidating the information processing principles of the brain. While extensive r
Externí odkaz:
https://doaj.org/article/d1d7b825173a4cc78db5856786b9ea6c
Autor:
Wenyong Zhang, Wenlian Lu
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2716 (2023)
Using computers to numerically simulate large-scale neuronal networks has become a common method for studying the mechanism of the human brain, and neuroimaging has brought forth multimodal brain data. Determining how to fully consider these multimod
Externí odkaz:
https://doaj.org/article/2824986c91bc49cda2aa81e4d09bab2c
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Mean-field theory of neuronal networks has led to numerous advances in our analytical and intuitive understanding of their dynamics during the past decades. In order to make mean-field based analysis tools more accessible, we implemented an extensibl
Externí odkaz:
https://doaj.org/article/d21cbf5684f3480ea92835d0c1e80b5b
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The representation of the natural-density, heterogeneous connectivity of neuronal network models at relevant spatial scales remains a challenge for Computational Neuroscience and Neuromorphic Computing. In particular, the memory demands imposed by th
Externí odkaz:
https://doaj.org/article/c8480029aa86414ba68ec26d6206ffb4
Akademický článek
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Publikováno v:
Frontiers in Neuroinformatics, Vol 14 (2020)
Investigating the dynamics and function of large-scale spiking neuronal networks with realistic numbers of synapses is made possible today by state-of-the-art simulation code that scales to the largest contemporary supercomputers. However, simulation
Externí odkaz:
https://doaj.org/article/8fff43ed24fb48cbb4c1a7763b8c5d25
Autor:
Joshua C. Crone, Manuel M. Vindiola, Alfred B. Yu, David L. Boothe, David Beeman, Kelvin S. Oie, Piotr J. Franaszczuk
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
In this paper, we evaluate the computational performance of the GEneral NEural SImulation System (GENESIS) for large scale simulations of neural networks. While many benchmark studies have been performed for large scale simulations with leaky integra
Externí odkaz:
https://doaj.org/article/411a465885904e1ba2bfd4d8bef63616
Autor:
Lu, Wenyong Zhang, Wenlian
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2716
Using computers to numerically simulate large-scale neuronal networks has become a common method for studying the mechanism of the human brain, and neuroimaging has brought forth multimodal brain data. Determining how to fully consider these multimod
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Externí odkaz:
https://doaj.org/article/d279dba1fe894e788f085c05fa9090ea