about
Structure-dynamics relationships in bursting neuronal networks revealed using a prediction framework25th Annual Computational Neuroscience Meeting: CNS-2016Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study.Balance between noise and information flow maximizes set complexity of network dynamics.Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue.Modeling of Neuronal Growth In Vitro: Comparison of Simulation Tools NETMORPH and CX3D.Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia.Ion diffusion may introduce spurious current sources in current-source density (CSD) analysis.Information diversity in structure and dynamics of simulated neuronal networks.The effects of neuron morphology on graph theoretic measures of network connectivity: the analysis of a two-level statistical modelPleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling.
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description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Tuomo Mäki-Marttunen
@ast
Tuomo Mäki-Marttunen
@en
Tuomo Mäki-Marttunen
@es
Tuomo Mäki-Marttunen
@sl
type
label
Tuomo Mäki-Marttunen
@ast
Tuomo Mäki-Marttunen
@en
Tuomo Mäki-Marttunen
@es
Tuomo Mäki-Marttunen
@sl
prefLabel
Tuomo Mäki-Marttunen
@ast
Tuomo Mäki-Marttunen
@en
Tuomo Mäki-Marttunen
@es
Tuomo Mäki-Marttunen
@sl
P106
P21
P31
P496
0000-0002-7082-2507
P569
2000-01-01T00:00:00Z