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Titel Computational modelling for cognitive neuroscience and psychiatry research
Kursnummer 3144
Program Neurovetenskap
Språk Engelska
Antal högskolepoäng 1.5
Datum 2019-04-04 -- 2019-05-16
Kursansvarig institution Institutionen för neurobiologi, vårdvetenskap och samhälle
Särskild behörighet Background in medicine, biomedicine, biology, psychology, cognitive science, medical imaging, computational biology or similar. Previous experience with statistical analysis (regression, general linear model) and the R software.
Kursens syfte The purpose of the course is to introduce doctoral students to computational techniques for modelling and analysing behavioural data for cognitive neuroscience and psychiatry research, providing them with practical experience applying these techniques.
Kursens lärandemål After successful course completion, the students will be acquainted with several key computational models and have enough understanding to enable them to 1) critically interpret the results of the studies in the field and 2) adapt the models to new experimental paradigms for their own research. The students will be able to implement and estimate the models with the R package rstan.
Kursens innehåll Bayesian modelling; introduction to reinforcement learning; classical models for decision-making tasks (drift diffusion model, intertemporal choice, two-armed bandit). Applications: psychosis, addiction, depression, anxiety.
Arbetsformer Lectures. Hands-on sessions with practical exercises.
Obligatoriska moment Attending the lectures and hands-on sessions is mandatory. Absence from a lecture may be compensated by writing an essay on the corresponding topic. The final examination is compulsory (both report and presentation).
Examination Examination consists of a practical assignment where students will define a problem in cognitive neuroscience or psychiatry and describe how to study it with the approaches explained in the course (theoretical framework, experiments, modelling and analysis, expected outcomes). The assignments will be presented in front of the other students in the last session.
Kurslitteratur och övriga läromedel Sutton & Barto, Reinforcement Learning: An Introduction. McElreath, Statistical Rethinking Wagenmakers & Lee, Bayesian Cognitive Modeling http://mc-stan.org
Antal studenter 8 - 16
Urval av studenter Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date)
Övrig information Course dates and times: April 4, 11, 25 and May 2 (9:00-16:00); May 9 and 16 (9:00-12:00).
This course is new but builds on a previous course with number 3045, the course evaluation of which can be seen below.
Ytterligare kursledare
Tidigare omdöme av kursen omdöme
Kursansvarig Benjamin Garzon
Institutionen för neurobiologi, vårdvetenskap och samhälle

benjamin.garzon@ki.se
Kontaktpersoner Benjamin Garzon
Institutionen för neurobiologi, vårdvetenskap och samhälle

benjamin.garzon@ki.se


Rita Almeida
Institutionen för neurovetenskap

rita.almeida@ki.se