2020/2021

2020/2021

DM270

BIO/09 (PHYSIOLOGY)

DEPARTMENT OF BRAIN AND BEHAVIORAL SCIENCES

PSYCHOLOGY, NEUROSCIENCE AND HUMAN SCIENCES

PERCORSO COMUNE

1°

2nd semester (15/02/2021 - 11/06/2021)

6

36 lesson hours

English

WRITTEN AND ORAL TEST

CASELLATO CLAUDIA (titolare) - 6 ECTS

basic knowledge in neurophysiology

To understand principles for building computational neural models, able to embed multi-scale information, from mechanisms of single neurons and synapses, to functional microcircuits with specific connectivity and plasticity, till the generation of high-level functional behaviors. Examples relative to specific brain structures. To acquire methods and tools to reconstruct, simulate and validate these models. To analyze the applications of such models in understanding the complex operations underlying perception, actions and memory, in both physiological and pathological states.

- Neuronal Dynamics: Computational models of Single Neurons, at different simplification levels
- Synpases, connectome, plasticity
- Biological Modeling of Neural Networks
- Neural Networks, learning algorithms
- Brain functions: Computational Neuroscience to model control systems and sensorimotor integrations
- Brain functions: Computational Neuroscience to model cognitive functions
Some examples will deal with cerebellum circuit and its crucial role in motor learning and perception-action loop.

The course will be made up of lectures, integrated with seminars, hands-on laboratories with computational tools, and group discussions on scientific journal papers.

• The Mind within the Net: Models of Learning, Thinking, and Acting Reprint Edition - Manfred Spitzer
• The Computational Brain (Computational Neuroscience Series) - Patricia S. Churchland, Terrence J. Sejnowski
• Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems -Peter Dayan and L. F. Abbott

written and oral exams