معرفی
Marja-Leena Linne is an Adjunct Professor of Computational Neuroscience and head of the Computational Neuroscience (CNS) research group at Tampere University. Her work focuses on using computational models to study brain dynamics, glial cell interactions, and neurodevelopmental disorders. She leads efforts to advance EBRAINS, a pan-European infrastructure for brain research.
Education: M.Sc. in Technology (Electrical Engineering & Biomedical Engineering, 1993), Ph.D. in Computational Neuroscience (2011). Prior to her academic role, she worked in Germany developing brain imaging technology and specialized in neurobiology and molecular genetics.
Research Interests:
- Computational modeling of brain activity at cellular and molecular levels
- Role of glial cells in learning, memory, and synaptic transmission
- Integration of AI with neuroscientific principles to create energy-efficient learning systems
- Development of personalized brain models for clinical applications (e.g., epilepsy diagnosis)
Contributions: Co-developed EBRAINS infrastructure under the EU's Human Brain Project (2013-2023), produced >2500 publications, and pioneered computational models linking glial mechanisms to fMRI signals. Current focus includes brain atlases akin to 'Google Maps for neuroscience' and AI inspired by human brain efficiency.
Hobbies: Cross-country skiing, swimming in natural waters, and home-based fitness training to maintain brain health through physical activity.
