Marja-Leena Linne

Dr.Tech., Docent

Biography

Dr. Marja-Leena Linne is leading Computational Neuroscience Research Group  at Tampere University of Technology, Department of Signal Processing. She is also   Coordinator of the INCF (International Neuroinformatics Coordination Facility) National Node of Finland.

Dr. Linne received M.Sc. in electrical engineering from Tampere University of Technology, Dept. of Electrical Engineering, in 1993 and Ph.D. in signal processing and computational neuroscience from Tampere University of Technology, Dept. of Information Technology, in 2001. The Academy of Finland awarded her Postdoctoral Researcher position for 2002-2003 and independent Academy Research Fellow position (equivalent to non-tenured Assoc.Prof.) for 2004-2009. Dr. Linne has visited several leading laboratories in her field in foreign universities, including Albany Medical College (USA), California Institute of Technology (USA), University of Antwerp (Belgium), and University of Pavia (Italy).

Dr. Linne has research experience and track record in computational neuroscience, biophysics, and cellular and tissue level electrophysiology, as well as in computational systems biology. Dr. Linne has graduated seven Ph.D.s and supervised several M.Sc. and B.Sc. theses as primary supervisor appointed by the faculty. She has taught undergraduate and graduate level courses in cellular electrophysiology, computational neuroscience, neuroinformatics, and digital and signal processing.

Dr. Linne’s research contributions include both experimental and computational studies for better understanding the bioelectrical (electrophysiological) and biochemical phenomena underlying information processing in neural cells and small-scale networks in the brain. The work has involved  developing new computational algorithms and techniques, including new stochastic approaches to model cellular excitability, for computer simulations. In addition, she has done comparative evaluation of algorithms, tools, and computational models in the fields of computational neuroscience and computational systems biology.

In addition to computational work, Dr. Linne has experience in using primary and secondary cell cultures (e.g. cerebellar granule cell and cortical cell cultures, SH-SY5Y neuroblastoma cell cultures, glial-neuronal co-cultures) and different electrophysiological recordings techniques (e.g. single-channel patch clamp, whole-cell patch clamp, two-electrode voltage clamp, and microelectrode arrays on cultured cells) in her research. She has obtained some training in molecular biology techniques as well.

Over the past couple of years, Dr. Linne’s research work has, in addition to above-mentioned, focused on modeling the neuronal growth and activity for better understanding of the dynamics and structure-function relationship of neuronal networks in vitro. As an important factor, plastic short– and long-term changes have been incorporated in the studied models. Lately, the role of glial cells have been addressed in the information processing and learning in the brain.