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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Python code to simulate mouse, monkey and human brains

Authors: Destexhe, Alain; Sacha, Maria; Goldman, Jennifer;

Python code to simulate mouse, monkey and human brains

Abstract

This archive contains the python codes to run the TVB-AdEx model of mouse, monkey and human brains. The models run in The Virtual Brain simulator, where AdEx mean-fields were implemented. This model reproduces two brain states, asynchronous activity similar to wakefulness, and slow-wave activiy similar to sleep and anesthesia. The human model is described in the following papers: Goldman, J.S., Kusch, L., Yalcinkaya, B.H., Depannemaecker, D., Nghiem, T-A., Jirsa, V. and Destexhe, A. Brain-scale emergence of slow-wave synchrony and highly responsive asynchronous states based on biologically realistic population models simulated in The Virtual Brain. bioRxiv (2020): https://www.biorxiv.org/content/10.1101/2020.12.28.424574v1 Goldman, J.S., Kusch, L., Aquilue, D., Yalcinkaya, B.H., Depannemaecker, D., Ancourt, K., Nghiem, T-A., Jirsa, V. andDestexhe, A. A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics. Frontiers in Computational Neuroscience 16: 1058957, 2022. DOI: https://doi.org/10.3389/fncom.2022.1058957 The three species (human, monkey, mouse) are described in: Goldman, J., Sacha, M., Kusch, L. and Destexhe, A. Asynchronous and slow-wave oscillatory states in connectome-based models of mouse, monkey and human cerebral cortex. Biorxiv (2023): https://www.biorxiv.org/content/10.1101/2023.08.03.551869v1 See these papers for details. The mouse and macaque brain models were built in a very similar way. This work was financed by the Human Brain Project, under the direction of Alain Destexhe.

Keywords

whole brain model; mean-field models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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