School of Physiology and Biophysics: Neuronal biophysics - from experiments to models

Training purpose and objectives

The School aims to provide, both on a theoretical and technical-practical level, the bases of neural modelling, from single neuron to large scale brain circuits. It will be illustrated how the experimental data obtained with electrophysiological and imaging techniques are used both in the construction of the models and in their validation, providing an advanced integrated system for the study of neural functions. It will be shown how neural circuit models can be embedded into brain simulators and used for physiological studies and applications in biomedicine and roboticsThe main modelling infrastructures and in particular EBRAINS of the Human Brain Project will be illustrated.

Organization

The School is organized by the Neurophysiology section of the Department of Brain and Behavioural Sciences under the coordination of prof. Egidio D'Angelo and by the Italian Society of Physiology. The course will be divided into theoretical sessions consisting of oral presentations and open discussions focused on the experimental strategies and modelling methodologies covered by the course and by technical-practical sessions carried out in the laboratory with hands-on modalities. The School provides a Lectio Magistralis in honor of prof. Cesare Casella which will take place at the Almo Collegio Borromeo and two key lectures held, respectively, by Prof. Fabio Benfenati and Prof. Michele Migliore. The School will be reserved for participants admitted to the course only, while the Lectio Magistralis linked to the assignment of the Cesare Casella prize will also be open to people outside the School.

Participation

The onsite participation is now closed, but all the sections from 9:00 to 16:00 in the afternoon will be open to 300 registered participants by zoom videoconferencing.

Register here (free of charge)
Note: registration requires an EBRAINS account. If you do not yet have an EBRAINS account, get an account here (also free of charge).

.

The data - models handshake: from data to models and back.

• What is a neuron model
• How to extract data needed from models
• How use data in the models
• Model costruction, validation and prediction
• Bottom-up top-down integration
• Propagation of neuronal models into robotic controllers and virtual brains

Photostimulation of Neurons

Cognitive functions and dysfunctions emerging from large-scale brain models.