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Tuomo Mäki-Marttunen

Academy Research Fellow

About me

I am a principal investigator in Computational Neuropsychiatry in Tampere University. My current primary research topic is the disease mechanisms of schizophrenia. I use mathematical modelling of single neurons, neuronal networks as well as intracellular signaling pathways to study the contribution of different schizophrenia-associated genes to cellular and network phenotypes. In particular, I am interested in the cellular and network level mechanisms of EEG-measurable phenotypes of schizophrenia, such as increased delta oscillations and mismatch negativity. My previous research topics revolve around structure and function of neuronal networks and other complex networks, and include topics such as dynamics of Boolean networks, structure and dynamics of dissociated neuronal cultures, measures of complexity, and analysis of network connectivities.

I am leading an Academy of Finland starting grant "ModelPsych: Neural model building for psychiatric diseases - From genes to networks" and an EBRAINS voucher project "Startle-network modelling for Schizophrenia research – Insights from subcellular models of neuromodulation (SubSchiz)".

More about my research (popularized-science blog posts and articles):

Schizophrenia mechanisms can be studied with mathematical modelling 

Breaking the code of schizophrenia 


Google Scholar, Researchgate