Contact: Tobias Andersen, DTU Informatics, mail:
Understanding human cognition and brain function is one of the great frontiers of the biosciences. The complexity of this endeavour necessitates an integrated interdisciplinary approach involving psychology, neurobiology, and information science. In cognitive science and technology we employ behavioural experiments and neuroimaging (particularly EEG and, to some extent, fMRI) as well as mathematical modelling and data analysis methods in this quest. The aspects of human cognition we are particularly interested in include how attention selects the most relevant information from the environment, how information is integrated across the senses and how we learn new categories. We are also very interested in using machine-learning methods on EEG for automatic mental state decoding. Our aim is to integrate what we learn about human cognition and brain function in the development of new information and communication technologies.
Recommended courses:
General competence courses:
02443 Stochastic simulation
02409 Multivariate statistics
02610 Optimization and data fitting
Technological specialization courses:
02454 Introduction to Cognitive Psychology
02458 Cognitive modeling
02457 Non-Linear Signal Processing
02459 Machine Learning for Signal Processing
02582 Computational Data Analysis
02429 Analysis of correlated data: Mixed Linear Models
Elective courses:
02817 Personalization and metadata models
02829 Personalized and context-aware mobile applications
02811 Human Computer Interaction