Curriculum and Courses

Credit Distribution

1st term: 20,5 credits (17,5 credits' worth of subjects, 1 credit towards the planning of the master's degree final project under the supervision of a CBC faculty member, and 2 credits' worth of seminar activity).

2nd term: 18,5 credits (5,5 credits' worth of subjects, 10 credits of work towards the master's degree final project, and 3 credits' worth of seminar activity).

3rd term: 21 credits (3 credits' worth of subjects, 16 credits of work towards the master's degree final project, and 2 credits' worth of seminar activity).


MODULE 1: Cognitive Neuroscience and Research Techniques
Exploration of the most important experiments on the various aspects of human cognition and the results thereof. Presentation of the most common research techniques, procedures, and designs and approaches to data analysis and the interpretation of results.
Subject Description ECTS
Data Analysis for Cognitive Neuroscience

- Programming for experimental data analysis with Matlab or Python.
- Mathematical methods for univariate and multivariate statistical analysis of neurophysiological, behavioural and neuroimaging.

2.5 2
Neuroimaging Methods

- Experimental methodologies for neuroimaging techniques.
- Mathematical and statistical analysis of neuroimaging data (eg, EEGs, ERPs, fMRI).

2.5 1
Comparative Cognition

- General learning mechanisms.
- Techniques of research in cognitive science with animals.
- Animal models: psychological processes, language in animal and human research.
- Ethical considerations.

3 1
Early Human Cognition

- Historical and philosophical foundations of theories of cognition.
- Infants' understanding of the physical world.
- Infants' understanding of other minds.
- Numerical and logical reasoning in infancy.

3 2
The Physiological Basis of Visual Perception

- From the retina to the cortex.
- Retinotopic organization.
- Functional specialization for colour and movement.
- Segmentation, occlusion and illusory contours.
- Object recognition.
- Visual attention.
- Binocular rivalry and ambiguous figures.
- Perception and action.

3 1
Introduction to Computational Neuroscience

- Spiking neurons.
- Dynamic Synapses.
- Cortical networks.
- Plasticity/Learning.

3 3
Cognitive Neuroscience of Language

- How language is represented and processed in the brain.
- Perception of language.
- Production of language.
- The bilingualism: how the brain handles two languages.

3 1
Cognitive Neuroscience of Perception and Attention

- Cognitive and neural processes involved in perception.
- Perceptual mechanisms.
- Multisensory aspects of perceptual functions.
- Awareness.

3 1

Social Cognitive Neuroscience

Required Reading - Must be read before the start of class!

- Empathy and emotions.
- Moral reasoning.
- Justice, cooperation and trust.
- Speech and communication.
- Development of social cognition.

3 1
MODULE 2. Materia: Seminars
Weekly critical and constructive analysis of one or more ongoing experiments, either of a participant in the master's programme or of someone external to it. Tracking of students' designs, methodologies, data analyses, results, and conclusions.

- Presentation of experimental articles and results.
- Analysis of data.
- Designing of a research project.

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MODULE 3: Master's Degree Final Project
Master Degree Final Project
Research project on a topic related to the Master preparation and completion of a Master' thesis.
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