(CEN) Key Topics
The Computational Embodied Neuroscience (CEN) is an original research method to study brain and behaviour, rooted on system-level computational neuroscience and artificial life. To develop more and more deeper computational and robotic models of the brain, in order to understand how it acquires and produces behaviour in healthy and ill people, is to approach Intelligence at its functional and psychological roots.
Machine Learning | Merone |
Deep Learning | Capirchio |
Probabilistic computational models of brain | Cartoni |
Firing-rate computational models of brain | Baldassarre |
AI for Systems Neuroscience | Baldassarre/Caligiore |
Model-based data analysis | Pezzullo/Silvetti |
Writing scientific papers | Caligiore |
Brain mechanism of dependencies | Puglisi/Cabib |
AI for modelling Brain Disorders | Caligiore/Mirino |
AI for brain imaging and EEG | Mattioli/Mirino/Porcaro |
AI Lab: Building brain models | Caligiore/Capirchio/Mirino |
Biomedical and prosthetic robotics | Zollo |