Our research
The levels of investigation using computational models range from simulations of large-scale neural networks, using both biophysically detailed and 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.
Besides leading a research group at the Royal Institute of Technology (KTH), Jeanette Hellgren Kotaleski is affiliated with the Department of Neuroscience at ̽»¨¾«Ñ¡. A longstanding collaborative effort between the computational biology group at KTH and the Department of Neuroscience at KI has been ongoing for many years, and the goal is to understand the mechanisms for generating and coordinating activity in the spinal cord of vertebrates. Here the lamprey, an evolutionary old vertebrate, is used as a model system.