Tuomo Mäki-Marttunen
Tuomo Mäki-Marttunen
Tampere University
Verified email at - Homepage
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Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia
A Devor, OA Andreassen, Y Wang, T Mäki-Marttunen, OB Smeland, ...
Molecular psychiatry 22 (6), 792, 2017
An evaluation of the accuracy of classical models for computing the membrane potential and extracellular potential for neurons.
A Tveito, KH Jæger, GT Lines, Ł Paszkowski, J Sundnes, AG Edwards, ...
Frontiers in Computational Neuroscience 11, 27, 2017
Effect of ionic diffusion on extracellular potentials in neural tissue
G Halnes, T Mäki-Marttunen, D Keller, KH Pettersen, OA Andreassen, ...
PLoS computational biology 12 (11), e1005193, 2016
A unified computational model for cortical post-synaptic plasticity
T Mäki-Marttunen, N Iannella, AG Edwards, GT Einevoll, KT Blackwell
Elife 9, e55714, 2020
Alterations in schizophrenia-associated genes can lead to increased power in delta oscillations
T Mäki-Marttunen, F Krull, F Bettella, E Hagen, S Næss, TV Ness, ...
Cerebral Cortex 29 (2), 875-891, 2019
Biophysical Psychiatry-how computational neuroscience can help to understand the complex mechanisms of mental disorders
T Mäki-Marttunen, T Kaufmann, T Elvsåshagen, A Devor, S Djurovic, ...
Frontiers in Psychiatry 10, 534, 2019
Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study
T Mäki-Marttunen, G Halnes, A Devor, A Witoelar, F Bettella, S Djurovic, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1 (1), 49-59, 2016
A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells
T Mäki-Marttunen, G Halnes, A Devor, C Metzner, AM Dale, ...
Journal of Neuroscience Methods 293, 264-283, 2018
Modeling of neuronal growth in vitro: comparison of simulation tools NETMORPH and CX3D
J Aćimović, T Mäki-Marttunen, R Havela, H Teppola, ML Linne
EURASIP Journal on Bioinformatics and Systems Biology 2011, 616382, 2011
Experience-dependent modulation of the visual evoked potential: testing effect sizes, retention over time, and associations with age in 415 healthy individuals
M Valstad, T Moberget, D Roelfs, NB Slapø, CMF Timpe, D Beck, ...
NeuroImage 223, 117302, 2020
Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling
T Mäki-Marttunen, GT Lines, AG Edwards, A Tveito, AM Dale, GT Einevoll, ...
Translational Psychiatry 7 (11), 5, 2017
The effects of neuron morphology on graph theoretic measures of network connectivity: the analysis of a two-level statistical model
J Aćimović, T Mäki-Marttunen, ML Linne
Frontiers in neuroanatomy 9, 76, 2015
Structure-Dynamics Relationships in Bursting Neuronal Networks Revealed Using a Prediction Framework
T Mäki-Marttunen, J Aćimović, K Ruohonen, ML Linne
PLoS ONE 8 (7), e69373, 2013
A molecule‐based genetic association approach implicates a range of voltage‐gated calcium channels associated with schizophrenia
W Li, CC Fan, T Mäki-Marttunen, WK Thompson, AJ Schork, F Bettella, ...
Am J Med Genet B Neuropsychiatr Genet 177 (4), 454-467, 2018
Ion diffusion may introduce spurious current sources in current-source density (CSD) analysis
G Halnes, T Mäki-Marttunen, KH Pettersen, OA Andreassen, GT Einevoll
Journal of neurophysiology 118 (1), 114-120, 2017
Information Diversity in Structure and Dynamics of Simulated Neuronal Networks
T Mäki-Marttunen, J Aćimović, M Nykter, J Kesseli, K Ruohonen, ...
Frontiers in Computational Neuroscience 5, 2011
Evidence for Reduced Long-Term Potentiation-Like Visual Cortical Plasticity in Schizophrenia and Bipolar Disorder
M Valstad, D Roelfs, NB Slapø, CMF Timpe, A Rai, AM Matziorinis, ...
Schizophrenia bulletin 47 (6), 1751-1760, 2021
Differential processing in modality‐specific Mauthner cell dendrites
V Medan, T Mäki‐Marttunen, J Sztarker, T Preuss
The Journal of physiology 596 (4), 667-689, 2018
An algorithm for motif-based network design
T Mäki-Marttunen
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016
Balance between Noise and Information Flow Maximizes Set Complexity of Network Dynamics
T Mäki-Marttunen, J Kesseli, M Nykter
PLoS ONE 8 (3), e56523, 2013
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