Computational Neuroscience is a multidisciplinary research platform dedicated to modeling, analyzing, and integrating, brain signals across scales – from cellular dynamics to whole-brain activity – using advanced computational techniques.

Researchers apply statistical physics, mathematics, computer science, and machine learning to uncover the principles governing neural development, structure, and function. Whole-brain models and simulations decode neural dynamics, predict behaviors, and assess disease progression.

By integrating experimental data with theoretical frameworks, the platform provides a robust foundation for testing hypotheses about brain function. This multidisciplinary approach enables the discovery of patterns in brain signals, bridging cellular processes with cognition and behavior to advance our understanding of the nervous system.