Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation

Autor: Nathalie Azevedo Carvalho, Sylvain Contassot-Vivier, Laure Buhry, Dominique Martinez

Publikováno v: Frontiers in Neuroinformatics, Vol 14 (2020)

Accurate simulations of brain structures is a major problem in neuroscience. Many works are dedicated to design better models or to develop more efficient simulation schemes. In this paper, we propose a hybrid simulation scheme that combines time-ste

Externí odkaz: https://doaj.org/article/c5ca9b3b730446dd84212cc0e0f21699

Detection and Control of Epileptiform Regime in the Hodgkin–Huxley Artificial Neural Networks via Quantum Algorithms

Autor: Borisenok, Sergey

Publikováno v: Cybernetics and Physics. :7-12

© 2022, Institute for Problems in Mechanical Engineering, Russian Academy of Sciences. All rights reserved.The problem of detection and the following suppression of epileptiform dynamics in artificial neural networks (ANN) still is a hot topic in mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c429c4e334700de3fe695b32dbf3e4
https://doi.org/10.35470/2226-4116-2022-11-1-7-12

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Synchronization of stochastic mean field networks of Hodgkin-Huxley neurons with noisy channels

Autor: Mireille Bossy, Héctor Olivero, Joaquin Fontbona

Publikováno v: Journal of Mathematical Biology
Journal of Mathematical Biology, Springer Verlag (Germany), 2019, ⟨10.1007/s00285-019-01326-7⟩
Journal of Mathematical Biology, 2019, ⟨10.1007/s00285-019-01326-7⟩
International Conference on Mathematical NeuroScience 2018
International Conference on Mathematical NeuroScience 2018, Jun 2018, Juan-les-Pins, France

In this work we are interested in a mathematical model for the collective behavior of a fully connected network of finitely many neurons when their number and when time go to infinity. We assume that every neuron follows a stochastic version of the H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f96d371ad78118290175fb9947102f
https://hal.inria.fr/hal-01678710