5 papers
Double projection for reconstructing dynamical systems: between stochastic and deterministic regimes
Viktor Sip, Martin Breyton, Spase Petkoski +1
Learning stochastic models of dynamical systems from observed data is of interest in many scientific fields. Here, we propose a new method for this task within the family of dynami…
Building Digital Twins of Different Human Organs for Personalized Healthcare
Yilin Lyu, Zhen Li, Vu Tran +9
Digital twins are virtual replicas of physical entities and are poised to transform personalized medicine through the real-time simulation and prediction of human physiology. Trans…
State-dependent brain responsiveness, from local circuits to the whole brain
A. Destexhe, J Goldman, N. Tort-Colet +32
The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the…
Data-driven mean-field within whole-brain models
Martin Breyton, Viktor Sip, Marmaduke Woodman +3
Mean-field models provide a link between microscopic neuronal activity and macroscopic brain dynamics. Their derivation depends on simplifying assumptions, such as all-to-all conne…
Optimal signal transmission and timescale diversity in a model of human brain operating near criticality
Yang Qi, Jiexiang Wang, Weiyang Ding +4
Cortical neurons exhibit a hierarchy of timescales across brain regions in response to input stimuli, which is thought to be crucial for information processing of different tempora…