136 citations · 428 across the 10 of their papers we have counts for
11 papers
On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists
Seungone Kim, Dongkeun Yoon, Kiril Gashteovski +55
With the advancement of AI capabilities, AI reviewers are beginning to be deployed in scientific peer review, yet their capability and credibility remain in question: many scientis…
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…
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…
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…
Delta-alpha cross-frequency coupling for different brain regions
Dushko Lukarski, Spase Petkoski, Peng Ji +1
Neural interactions occur on different levels and scales. It is of particular importance to understand how they are distributed among different neuroanatomical and physiological re…
Brain Modelling as a Service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis +41
The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science. It offers services for constructing, simul…