Follow @crosstalkstv

Jeanette Hellgren Kotaleski

Professor at the Department of Computational Biology, KTH Royal Institute of Technology

The main focus of Jeanette Hellgren Kotaleski’s research has been to use mathematical modeling to understand the neural mechanisms underlying information processing, rhythm generation and learning in motor systems. Of specific interest are the basal ganglia, a structure in the brain that is important for the selection and initiation of motor (and cognitive) actions. The levels of investigation using computational models range from simulations of large-scale neural networks, using both biophysically detailed as well as abstract systems level models, down to kinetic models of subcellular processes (e.g. dopamine-induced cascades). The latter approach is important for understanding mechanisms involved in e.g. synaptic plasticity and learning.

Jeanette Hellgren Kotaleski is also affiliated with Department of Neuroscience at Karolinska Institutet (KI). She is furthermore linked with the International Neuroinformatics Coordinating Facility (INCF), and is presently the leader of the Swedish National INCF node. She is also a member of the Human Brain Project, where she is KTH’s representative together with professor Anders Lansner.

Related links

  • Link to webpage at KTH


Next Crosstalks February 19, 6:00 PM CET

Tweets by @crosstalkstv