Brain and mind reading: the application of machine learning to cognitive neuroscience

Giuseppe Sartori
Dept. of General Psychology, University of Padua
M/PSI-01, M/PSI-02

The aim of the course is to provide an overview of concrete machine learning applications in neuroscience, cognitive science and social science. The course gives an underground of methods to learn behavioural, cognitive and brain functional/structural data. It provide a review of brain and mind reading studies, with several examples of recent practical applications. Limits in the state of the art and future directions will be discussed.

- How to lean neural signals: machine learning methods to learn EEG and BOLD signals.
- Machine learning methods to learn behavioural and cognitive patterns.
- Presentation of recent works where machine learning is used to predict the subject’s mental state of (e.g., lie detection, psychopathology detection, reconstructing visual experiences from brain activity, brain computer interface devices, etc).
- Limits and future perspective for the application of machine learning in cognitive neuroscience (e.g. the problem of reproducibility in psychological sciences).

Course requirements
Tools and applications of Machine Learning

Examination modality

17 July, 15:00-17:00
18 July, 9:00-13:00

17 July: Seminar room DPG1, via Venezia 8 (Dept of General Psychology)
18 July: Meeting room, via Luzzatti 4 (HIT Centre)

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