Tuomo Mäki-Marttunen's web page

Employment details

Researcher (PhD student until the end of 2013) in the Laboratory of Computational Neuroscience
Department of Signal Processing
Tampere University of Technology
CV




Research interests

My research interest lies in structure and dynamics of complex networks, especially neuronal networks. I'm analyzing the factors that contribute to spontaneous synchronized spiking, i.e., the network bursts, in neuronal networks. I'm especially interested in the effect of network structure and synaptic mechanisms on the emergence of network bursts. In addition, I study methods for quantifying the complexity in structure and dynamics of complex systems.


Publications


International journal articles:

T. Mäki-Marttunen. An algorithm for motif-based network design. Accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics. PREPRINT PDF

T. Mäki-Marttunen, G. Halnes, A. Devor, A. Witoelar, F. Bettella, S. Djurovic, Y. Wang, G. T. Einevoll, O. A. Andreassen, A. M. Dale. Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1, 49-59, 2016.

J. Aćimović, T. Mäki-Marttunen, M.-L. Linne. The effects of neuron morphology on graph theoretic measures of network connectivity: The analysis of a two-level statistical model. Frontiers in Neuroanatomy 9, 76, 2015.

PDF

T. Mäki-Marttunen, J. Aćimović, K. Ruohonen, M.-L. Linne. Structure-dynamics relationships in bursting neuronal networks revealed using a prediction framework. PLoS ONE, 8(7): e69373, 2013. PDF

T. Mäki-Marttunen, J. Kesseli, M. Nykter. Balance between noise and information flow maximizes set complexity of network dynamics. PLoS ONE, 8(3): e56523, 2013. PDF

T. Mäki-Marttunen, J. Aćimović, M. Nykter, J. Kesseli, K. Ruohonen, O. Yli-Harja, M.-L. Linne. Information diversity in structure and dynamics of simulated neuronal networks. Frontiers in Computational Neuroscience, 5:26, 2011. PDF

J. Aćimović, T. Mäki-Marttunen, R. Havela, H. Teppola, M.-L. Linne. Modeling of neuronal growth in vitro: Comparison of simulation tools NETMORPH and CX3D. EURASIP Journal on Bioinformatics and Systems Biology, article ID 616382, 2011. PDF


Peer-reviewed articles in conference proceedings:

T. Mäki-Marttunen, J. Kesseli, S. Kauffman, O. Yli-Harja, M. Nykter. Of the complexity of Boolean network state trajectories. Proceedings of the 8th International Workshop on Computational Systems Biology (WCSB 2011), pp. 137-140, 2011. PDF

T. Mäki-Marttunen*, R. Havela*, J. Aćimović, H. Teppola, K. Ruohonen, M.-L. Linne. Modeling growth in neuronal cell cultures: Network properties in different phases of growth studied using two growth simulators. Proceedings of the 7th International Workshop on Computational Systems Biology (WCSB 2010), pp. 75-78, 2010. (* equal contribution of Mäki-Marttunen and Havela) PDF


Other:

T. Mäki-Marttunen. Modelling structure and dynamics of complex systems: Applications to neuronal networks. Tampere Univeristy of Technology (Ph.D. thesis), 2013. PDF (without publications)