Cargando…
A GPU-based computational framework that bridges neuron simulation and artificial intelligence
Biophysically detailed multi-compartment models are powerful tools to explore computational principles of the brain and also serve as a theoretical framework to generate algorithms for artificial intelligence (AI) systems. However, the expensive computational cost severely limits the applications in...
Autores principales: | Zhang, Yichen, He, Gan, Ma, Lei, Liu, Xiaofei, Hjorth, J. J. Johannes, Kozlov, Alexander, He, Yutao, Zhang, Shenjian, Kotaleski, Jeanette Hellgren, Tian, Yonghong, Grillner, Sten, Du, Kai, Huang, Tiejun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507119/ https://www.ncbi.nlm.nih.gov/pubmed/37723170 http://dx.doi.org/10.1038/s41467-023-41553-7 |
Ejemplares similares
-
The roles of surround inhibition for the intrinsic function of the striatum, analyzed in silico
por: Frost Nylén, Johanna, et al.
Publicado: (2023) -
Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda
por: Frost Nylen, Johanna, et al.
Publicado: (2021) -
Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda
por: Hjorth, J. J. Johannes, et al.
Publicado: (2021) -
The microcircuits of striatum in silico
por: Hjorth, J. J. Johannes, et al.
Publicado: (2020) -
Basal Ganglia Neuromodulation Over Multiple Temporal and Structural Scales—Simulations of Direct Pathway MSNs Investigate the Fast Onset of Dopaminergic Effects and Predict the Role of Kv4.2
por: Lindroos, Robert, et al.
Publicado: (2018)