Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep

0586406 - ÚI 2025 RIV eng J - Journal Article
Fink, C. G. - Šanda, Pavel - Bayer, L. - Abeysinghe, E. - Bazhenov, M. - Krishnan, G. P.
Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep.
SOFTWARE IMPACTS. Roč. 21, September 2024 (2024), č. článku 100667. ISSN 2665-9638
R&D Projects: GA MŠMT(CZ) EH22_008/0004643
Institutional support: RVO:67985807
Keywords : Computational neuroscience * Sleep * Neuromodulation * NEURON
Impact factor: 2.1, year: 2022
Method of publishing: Open access
https://doi.org/10.1016/j.simpa.2024.100667

Understanding the function of sleep and its associated neural rhythms is an important goal in neuroscience. While many theoretical models of neural dynamics during sleep exist, few include the effects of neuromodulators on sleep oscillations and describe transitions between sleep and wake states or different sleep stages. Here, we started with a C++-based thalamocortical network model that describes characteristic thalamic and cortical oscillations specific to sleep. This model, which includes a biophysically realistic description of intrinsic and synaptic channels, allows for testing the effects of different neuromodulators, intrinsic cell properties, and synaptic connectivity on neural dynamics during sleep. We present a complete reimplementation of this previously-published sleep model in the standardized NEURON/Python framework, making it more accessible to the wider scientific community.
Permanent Link: https://hdl.handle.net/11104/0353942


Research data: Software at GitHub.com, Preprint at OSF.io