Tiina Manninen

Orcid: 0000-0002-0456-1185

According to our database1, Tiina Manninen authored at least 17 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations.
Neuroinformatics, July, 2023

Analysis of Network Models with Neuron-Astrocyte Interactions.
Neuroinformatics, April, 2023

2020
Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex.
PLoS Comput. Biol., 2020

2018
Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.
Frontiers Neuroinformatics, 2018

Computational Models for Calcium-Mediated Astrocyte Functions.
Frontiers Comput. Neurosci., 2018

2017
Sustainable computational science: the ReScience initiative.
PeerJ Comput. Sci., 2017

Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability.
Frontiers Neuroinformatics, 2017

Modeling Neuron-Astrocyte Interactions: Towards Understanding Synaptic Plasticity and Learning in the Brain.
Proceedings of the Intelligent Computing Theories and Application, 2017

2011
Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models.
EURASIP J. Bioinform. Syst. Biol., 2011

Computational study of noise in a large signal transduction network.
BMC Bioinform., 2011

2010
Postsynaptic Signal Transduction Models for Long-Term Potentiation and Depression.
Frontiers Comput. Neurosci., 2010

Comparison of discrete- and continuous-state stochastic methods to model neuronal signal transduction.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2006
A novel approach to model neuronal signal transduction using stochastic differential equations.
Neurocomputing, 2006

Developing Itô stochastic differential equation models for neuronal signal transduction pathways.
Comput. Biol. Chem., 2006

Discrete stochastic simulation of cell signaling: comparison of computational tools.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Simulation tools for biochemical networks: evaluation of performance and usability.
Bioinform., 2005

2004
A model integrating the cerebellar granule neuron excitability and calcium signaling pathways.
Neurocomputing, 2004


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