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Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...

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<strong>Prospectus</strong> Research Master <strong>Psychology</strong> 20<strong>08</strong> • 20<strong>09</strong><br />

36<br />

brain. It is essential to have a basic knowledge of the brain anatomy when working in<br />

the field of neuropsychology or neurobiology. Many specific brain areas can be linked<br />

to particular functions. Thus, knowledge of the brain anatomy <strong>and</strong> its main functions<br />

allows one to directly link specific neurological or psychiatric disorders to particular<br />

brain areas. After a short theoretical introduction the students will study whole<br />

brains <strong>and</strong> brain material of mammals at both macroscopical (visual inspection) <strong>and</strong><br />

microscopical level. The emphasis will be on major brain systems including the basal<br />

ganglia <strong>and</strong> limbic system.<br />

Instructional Approach<br />

Almost exclusively practical: dissection of sheep brain, studying of microscopical<br />

slices of rat brain, working with plastic human brain models, CD-ROM programs <strong>and</strong><br />

textbook.<br />

Form of Assessment<br />

Pass/fail score based on written exam with open questions.<br />

| 424CN Programming in Matlab Basic Course– 2 credits<br />

Coordinator: Giancarlo Valente, Cognitive <strong>Neuroscience</strong> (FPN) , Phone 38 82469,<br />

40 Universiteitssingel East, Room 4.747, E-mail: giancarlo.valente@psychology.unimaas.nl<br />

Description of the Course<br />

Matlab is a powerful environment for numerical computation, data analysis <strong>and</strong><br />

visualization. It is, in essence, a programming language that has built in primitives<br />

for common scientific tasks that require many operations in other languages, such as<br />

C or Pascal. Examples are tasks such as matrix algebra (used in statistical analysis of<br />

data), Fourier transforms (used in signal processing), or 2D or 3D plots for visualization<br />

of data or analysis-results. Many complete packages for the analysis of cognitive<br />

neuroimaging data (e.g., fMRI data or EEG/MEG data) are implemented in Matlab.<br />

Thus, usage of these packages requires at least a basic underst<strong>and</strong>ing of Matlab.<br />

Furthermore, if more advanced analysis or visualization is needed that is not offered<br />

by existing packages, developing such new functionality in Matlab is often the most<br />

convenient option. The first part of the course will deal with algebra <strong>and</strong> matrix<br />

decompositions as an introduction to how Matlab primarily represent <strong>and</strong> processes<br />

data: as matrices. Subsequently, we study in detail the usage of the environment: the<br />

prompt, the workspace, getting help, loading, saving <strong>and</strong> visualizing data. We introduce<br />

the principles behind programming, with particular emphasis on neuroimaging<br />

applications.<br />

Instructional Approach<br />

Lectures, computer sessions combined in an interactive format.<br />

Form of Assessment<br />

Programming exercises throughout the training <strong>and</strong> assignments.

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