Tiina Manninen

发表

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

Jugoslava Acimovic, Tiina Manninen, Riikka Havela, 2018, Front. Neuroinform..

Developing Itô stochastic differential equation models for neuronal signal transduction pathways

Keijo Ruohonen, Tiina Manninen, Marja-Leena Linne, 2006, Comput. Biol. Chem..

SEQUENTIAL MONTE CARLO BASED MAXIMUM LIKELIHOOD ESTIMATION FOR CALCIUM BINDING REACTIONS

Keijo Ruohonen, Olli Yli-Harja, Tiina Manninen, 2007 .

ESTIMATIONOF NEURONAL SIGNALINGMODEL PARAMETERS USING DETERMINISTICAND STOCHASTICINSILICOTRAININGDATA:EVALUATIONOF FOUR PARAMETER ESTIMATIONMETHODS

Keijo Ruohonen, Tiina Manninen, Antti Pettinen, 2007 .

Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models

Tiina Manninen, Marja-Leena Linne, Katri Hituri, 2011, EURASIP J. Bioinform. Syst. Biol..

Computational study of noise in a large signal transduction network

Keijo Ruohonen, Jukka Intosalmi, Tiina Manninen, 2011, BMC Bioinformatics.

Sustainable computational science: the ReScience initiative pdf

Cyrille Rossant, Xavier Hinaut, Thomas Arildsen, 2017, PeerJ Comput. Sci..

Modeling signal transduction in synaptic plasticity: comparison of models and methods

Tiina Manninen, Marja-Leena Linne, Katri Hituri, 2010, BMC Neuroscience.

Numerical characterization of noisy fluctuations in two different types of stochastic differential equation models of neural signaling

Keijo Ruohonen, Jukka Intosalmi, Tiina Manninen, 2015, BMC Neuroscience.

Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability

Tiina Manninen, Riikka Havela, Marja-Leena Linne, 2017, Front. Neuroinform..

Computational Models of Astrocytes and Astrocyte–Neuron Interactions: Characterization, Reproducibility, and Future Perspectives

Tiina Manninen, Riikka Havela, Marja-Leena Linne, 2019, Springer Series in Computational Neuroscience.

Simulation tools for biochemical networks: evaluation of performance and usability

Olli Yli-Harja, Olli-Pekka Smolander, Tiina Manninen, 2005, Bioinform..

Modeling IP3 receptor function using stochastic approaches

Keijo Ruohonen, Jukka Intosalmi, Tiina Manninen, 2008 .

A novel approach to model neuronal signal transduction using stochastic differential equations

Keijo Ruohonen, Tiina Manninen, Marja-Leena Linne, 2006, Neurocomputing.

Comparison of discrete- and continuous-state stochastic methods to model neuronal signal transduction

Tiina Manninen, Daniel X. Keller, D. Keller, 2010, BCB '10.

A model integrating the cerebellar granule neuron excitability and calcium signaling pathways

Tiina Manninen, Marja-Leena Linne, Tuula O. Jalonen, 2004, Neurocomputing.

Computational Models for Calcium-Mediated Astrocyte Functions

Tiina Manninen, Riikka Havela, Marja-Leena Linne, 2018, Front. Comput. Neurosci..

Modeling Neuron-Astrocyte Interactions: Towards Understanding Synaptic Plasticity and Learning in the Brain

Tiina Manninen, Riikka Havela, Marja-Leena Linne, 2017, ICIC.

Postsynaptic Signal Transduction Models for Long-Term Potentiation and Depression

Jeanette Kotaleski, Kim T. Blackwell, Tiina Manninen, 2010, Front. Comput. Neurosci..

MODELING NEURONAL SIGNAL TRANSDUCTION USING ITÔ STOCHASTIC DIFFERENTIAL EQUATIONS AND THE GILLESPIE STOCHASTIC SIMULATION ALGORITHM

Keijo Ruohonen, Tiina Manninen, Marja-Leena Linne, 2006 .

Sustainable computational science : the

Cyrille Rossant, Xavier Hinaut, Konrad Hinsen, 2018 .

Effects of Transmitters and Amyloid-Beta Peptide on Calcium Signals in Rat Cortical Astrocytes: Fura-2AM Measurements and Stochastic Model Simulations

Tiina Manninen, Marja-Leena Linne, Eeva Toivari, 2011, PloS one.