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2020 – today
- 2023
[j14]Tiina Manninen
, Jugoslava Acimovic, Marja-Leena Linne:
Analysis of Network Models with Neuron-Astrocyte Interactions. Neuroinformatics 21(2): 375-406 (2023)- [j13]Laura Keto, Tiina Manninen:
CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations. Neuroinformatics 21(3): 483-500 (2023) - 2020
- [j12]Tiina Manninen, Ausra Saudargiene, Marja-Leena Linne:
Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex. PLoS Comput. Biol. 16(11) (2020)
2010 – 2019
- 2018
- [j11]Tiina Manninen, Riikka Havela, Marja-Leena Linne:
Computational Models for Calcium-Mediated Astrocyte Functions. Frontiers Comput. Neurosci. 12: 14 (2018) - [j10]Tiina Manninen, Jugoslava Acimovic, Riikka Havela, Heidi Teppola, Marja-Leena Linne:
Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures. Frontiers Neuroinformatics 12: 20 (2018) - 2017
- [j9]Tiina Manninen, Riikka Havela, Marja-Leena Linne:
Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability. Frontiers Neuroinformatics 11: 11 (2017) - [j8]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 3: e142 (2017) - [c3]Riikka Havela, Tiina Manninen, Ausra Saudargiene, Marja-Leena Linne:
Modeling Neuron-Astrocyte Interactions: Towards Understanding Synaptic Plasticity and Learning in the Brain. ICIC (2) 2017: 157-168 - [i1]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. CoRR abs/1707.04393 (2017) - 2011
- [j7]Jukka Intosalmi, Tiina Manninen, Keijo Ruohonen, Marja-Leena Linne:
Computational study of noise in a large signal transduction network. BMC Bioinform. 12: 252 (2011) - [j6]Tiina Manninen, Katri Hituri, Eeva Toivari, Marja-Leena Linne:
Modeling Signal Transduction Leading to Synaptic Plasticity: Evaluation and Comparison of Five Models. EURASIP J. Bioinform. Syst. Biol. 2011 (2011) - 2010
- [j5]Tiina Manninen, Katri Hituri, Jeanette Hellgren Kotaleski, Kim T. Blackwell, Marja-Leena Linne:
Postsynaptic Signal Transduction Models for Long-Term Potentiation and Depression. Frontiers Comput. Neurosci. 4: 152 (2010) - [c2]Tiina Manninen, Daniel X. Keller:
Comparison of discrete- and continuous-state stochastic methods to model neuronal signal transduction. BCB 2010: 394-397
2000 – 2009
- 2006
- [j4]Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen:
Developing Itô stochastic differential equation models for neuronal signal transduction pathways. Comput. Biol. Chem. 30(4): 280-291 (2006) - [j3]Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen:
A novel approach to model neuronal signal transduction using stochastic differential equations. Neurocomputing 69(10-12): 1066-1069 (2006) - [c1]Tiina Manninen, Eeva Makiraatikka, Antti Ylipää, Antti Pettinen, Kalle Leinonen, Marja-Leena Linne:
Discrete stochastic simulation of cell signaling: comparison of computational tools. EMBC 2006: 2013-2016 - 2005
- [j2]Antti Pettinen, Tommi Aho, Olli-Pekka Smolander, Tiina Manninen, Antti Saarinen, Kaisa-Leena Taattola, Olli Yli-Harja, Marja-Leena Linne:
Simulation tools for biochemical networks: evaluation of performance and usability. Bioinform. 21(3): 357-363 (2005) - 2004
- [j1]Marja-Leena Linne, Tiina Manninen, Tuula O. Jalonen:
A model integrating the cerebellar granule neuron excitability and calcium signaling pathways. Neurocomputing 58-60: 569-574 (2004)
Coauthor Index
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