Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks

S Anil, H Lu, S Rotter, A Vlachos - PLOS Computational Biology, 2023 - journals.plos.org
Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation
technique used to induce neuronal plasticity in healthy individuals and patients. Designing …

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention …

J Courson, M Quoy, Y Timofeeva… - Frontiers in Computational …, 2024 - frontiersin.org
Mean-field models have been developed to replicate key features of epileptic seizure
dynamics. However, the precise mechanisms and the role of the brain area responsible for …

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness

M Xu, F Liu, Y Hu, H Li, Y Wei, S Zhong… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Synaptic plasticity plays a critical role in the expression power of brain neural networks.
Among diverse plasticity rules, synaptic scaling presents indispensable effects on …

Plastic Arbor: a modern simulation framework for synaptic plasticity $\unicode {x2013} $ from single synapses to networks of morphological neurons

J Luboeinski, S Schmitt, SS Kamalabad, T Hater… - arXiv preprint arXiv …, 2024 - arxiv.org
Arbor is a software library designed for efficient simulation of large-scale networks of
biological neurons with detailed morphological structures. It combines customizable …

[PDF][PDF] Juliette Courson,*, Mathias Quoy, Yulia Timofeeva, and Thanos Manos

J Courson - researchgate.net
An essential objective of computational neuroscience is to be able to predict the effects of
medical interventions, therapies, or surgeries on the local and global brain dynamical …