Cognitive Neuroscience
The focus of the Cognitive Neuroscience track is on a neuroscientific approach to cognition. It is also firmly rooted in biology and psychology and focuses on how the brain processes information to enable complex cognitive functions. Besides fundamental neuroscience disciplines, brain imaging, systems neurophysiology and computation are strongly represented here. A question characteristic for this track is: “how do neural processes such as spikes and synaptic plasticity give rise to memory, conscious perception and behavioural decisions?”
The track aims at understanding how the brain implements cognitive processes by studying information processing in the healthy, active brain, but also by computer stimulation and interventional approaches targeting causal functions. In this track the pathological brain is equally captivating as the healthy brain and will be high-lighted by studying neurological and psychiatric disorders.
Contact:
Programme information:
Institute for Interdisciplinary Studies, Sarphatistraat 104, 1018 GV, Amsterdam
tel. +31 (0)20 525 5190, email: info-mcs@uva.nl
Programme:
Curriculum Cognitive Neuroscience:
- 21-31 EC, Research project 1
- >44 EC, Research project 2 (minimum credits for both research projects are 65EC)
- 10 EC, Literature Thesis
- 4 EC, Advanced Cognitive Neuroscience
- 6 EC, Neurophysiology
- 6 EC, Neuroimaging 1 or
- 3 EC, Experimental Neurobiology Labs and/or 3 EC Matlab programming for Data Analysis
- 9 EC, Current Issues and CSCA Lectures
- 4 EC, Summer School
- 6-16 EC, Electives
Structure Cognitive Neuroscience track:
Specialised courses
Next to the track specific courses, the track Cognitive Neuroscience offers three specialised courses of which the students need to choose courses up to at least 6EC, depending on their interest, as an obligatory module in their master programme. Students can choose between a human cognitive neuroscience focus, i.e. Neuroimaging, or a behavioral neuroscience focus, i.e. Experimental Neurobiologyand Matlab Programming for Data Analysis.