Computational neuroscience

Computational Neuroscience

Research in the Computational Neuroscience Group, CNS, promotes understanding of complex molecular, cellular and circuit level phenomena underlying brain activity dynamics in health and disease.

Background & Aims:

Understanding the human brain is one of the most pressing challenges of today. Our research aims at developing multi-scale computational models of brain functions in health and disease to address this challenge. The CNS group has a three-decade long history of studying neural systems and developing theoretical and computational models of biological neural networks, cells and cellular signaling. We also develop new tools for advancing brain health based on statistics, dynamic systems theory, machine learning, and computational modeling. Our studies have profound influence on understanding the dynamics of brain networks and contribute to probing the mechanistic causes of diseases, including the mechanisms involved in the development of mental disorders.


The Computational Neuroscience Group is a multi-method computational and experimental neuroscience research group, with expertise from the fields of cell and molecular biology, medicine, biochemistry, neurophysiology, applied mathematics including dynamical systems theory, physics, computer science and signal processing. The research group has approximately 10 members, including two Academy Research Fellows, postdoctoral researchers and PhD students.

Research themes:

– Computational modeling of neural functions, including activity dynamics, neurotransmission, information processing, plasticity and learning in the brain
– Nonneuronal cells in brain activity dynamics
– Neural disease mechanisms, including mental disorders
– Neurobiological and medical data analysis using complex tools based on dynamic systems theory, statistics and mathematical models, integration of multimodal brain data
– Development of new mathematical modeling tools, including stochastic modeling methods and order reduction for acceleration of brain simulations
– Brain-inspired computations and technology, including neuromorphic devices


The Computational Neuroscience Group is a core member of the EU Future Emerging Flagship (FET) Human Brain Project (HBP) and linked to the EBRAINS, a digital brain research infrastructure in Europe for sharing data and resources. The group leader is a founding member of the Baltic-Nordic Summer Schools in Neuroinformatics (BNNI). The group is using high-performance computing provided by Tampere Centre for Scientific Computing, Centre for Scientific Computing – CSC, and the Human Brain Project Platforms.

Learn more about the Computational Neuroscience Group.


Group leader Marja-Leena Linne, PhD, Senior Research Fellow
Tampere University, Faculty of Medicine and Health Technology
+358 50 3450649

CNS Group