Enrollment year
2021/2022
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
ARTIFICIAL INTELLIGENCE
Curriculum
PERCORSO COMUNE
Period
1st semester (02/10/2023 - 21/01/2024)
Prerequisites
Basic anatomy of the brain
Learning outcomes
Know and understand the relation between brain features and neural network architecture, and understand the basis of computation modeling of large-scale neural networks.
Course contents
Neural networks and architectures to model the brain and its functional activity at multiple scales of complexity. Particular interest will be given to the large-scale characterization of the brain and to the relation with behavior and cognition.
• Machine and Deep learning techniques applied to Cognitive Neuroscience
• Neural architectures to create physiologically based mean field models
• Whole-brain network: Structure-function relation
• Functional Brain Networks dynamics and large-scale connectivity
• Brain modeling to predict brain activity and functional hierarchy
AI applied to brain imaging, behavior and cognition
Teaching methods
Face-to-face lectures and hands-on sessions. Possible seminars to expand the student knowledge.
Reccomended or required readings
Digital material will be provided through the kiro platform.
Assessment methods
Oral exam: learning is verified by oral examination aimed at ascertaining the achievement of the educational objectives of the teaching.
The subject of the exam is the contents of the lectures and educational seminars.
Università di Pavia - Offerta formativa