3 citations · 5 across the 3 of their papers we have counts for
3 papers
q-bio.NC2024
Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks
Facundo Roffet, Gustavo Deco, Claudio Delrieux +1
Background: Brain network models offer insights into brain dynamics, but the utility of model-derived bifurcation parameters as biomarkers remains underexplored. Objective: This st…
q-bio.NC2024★ 2 cited
TVB C++: A Fast and Flexible Back-End for The Virtual Brain
Ignacio Martín, Gorka Zamora, Jan Fousek +5
This paper introduces TVB C++, a streamlined and fast C++ Back-End for The Virtual Brain (TVB), a renowned platform and a benchmark tool for full-brain simulation. TVB C++ is engin…
cs.GR2018★ 3 cited
Procedural Crowd Generation for Semantically Augmented Virtual Cities
O. Rogla, N. Pelechano, G. Patow
Authoring realistic behaviors to populate a large virtual city can be a cumbersome, time-consuming and error-prone task. Believable crowds require the effort of storytellers and pr…