| Sustainable computational science: the ReScience initiative NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... PeerJ Computer Science 3, e142, 2017 | 117 | 2017 |
| Computational models for calcium-mediated astrocyte functions T Manninen, R Havela, ML Linne Frontiers in computational neuroscience 12, 14, 2018 | 90 | 2018 |
| Developing Itô stochastic differential equation models for neuronal signal transduction pathways T Manninen, ML Linne, K Ruohonen Computational biology and chemistry 30 (4), 280-291, 2006 | 80 | 2006 |
| Postsynaptic signal transduction models for long-term potentiation and depression T Manninen, K Hituri, JH Kotaleski, KT Blackwell, ML Linne Frontiers in computational neuroscience 4, 152, 2010 | 70 | 2010 |
| Simulation tools for biochemical networks: evaluation of performance and usability A Pettinen, T Aho, OP Smolander, T Manninen, A Saarinen, KL Taattola, ... Bioinformatics 21 (3), 357-363, 2005 | 66 | 2005 |
| Cerebellar Purkinje cells control eye movements with a rapid rate code that is invariant to spike irregularity HL Payne, RL French, CC Guo, TDB Nguyen-Vu, T Manninen, ... Elife 8, e37102, 2019 | 51 | 2019 |
| Effects of transmitters and amyloid-beta peptide on calcium signals in rat cortical astrocytes: Fura-2AM measurements and stochastic model simulations E Toivari, T Manninen, AK Nahata, TO Jalonen, ML Linne PloS one 6 (3), e17914, 2011 | 49 | 2011 |
| Reproducibility and comparability of computational models for astrocyte calcium excitability T Manninen, R Havela, ML Linne Frontiers in neuroinformatics 11, 11, 2017 | 43 | 2017 |
| Challenges in reproducibility, replicability, and comparability of computational models and tools for neuronal and glial networks, cells, and subcellular structures T Manninen, J Aćimović, R Havela, H Teppola, ML Linne Frontiers in neuroinformatics 12, 20, 2018 | 38 | 2018 |
| Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex T Manninen, A Saudargiene, ML Linne PLoS computational biology 16 (11), e1008360, 2020 | 28 | 2020 |
| Computational models of astrocytes and astrocyte–neuron interactions: characterization, reproducibility, and future perspectives T Manninen, R Havela, ML Linne Computational glioscience, 423-454, 2019 | 18 | 2019 |
| Neuron–glia interactions and brain circuits ML Linne, J Aćimović, A Saudargiene, T Manninen Computational modelling of the brain: modelling approaches to cells …, 2022 | 16 | 2022 |
| A novel approach to model neuronal signal transduction using stochastic differential equations T Manninen, ML Linne, K Ruohonen Neurocomputing 69 (10-12), 1066-1069, 2006 | 12 | 2006 |
| Computational study of noise in a large signal transduction network J Intosalmi, T Manninen, K Ruohonen, ML Linne BMC bioinformatics 12, 1-12, 2011 | 11 | 2011 |
| Discrete stochastic simulation of cell signaling: comparison of computational tools T Manninen, E Makiraatikka, A Ylipaa, A Pettinen, K Leinonen, ML Linne 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 11 | 2006 |
| Modeling signal transduction leading to synaptic plasticity: evaluation and comparison of five models T Manninen, K Hituri, E Toivari, ML Linne EURASIP Journal on Bioinformatics and Systems Biology 2011, 1-12, 2011 | 9 | 2011 |
| Analysis of network models with neuron-astrocyte interactions T Manninen, J Aćimović, ML Linne Neuroinformatics 21 (2), 375-406, 2023 | 6 | 2023 |
| Computational Glioscience T Manninen, R Havela, ML Linne, M De Pittà, H Berry | 6 | 2019 |
| Sustainable computational science: the ReScience initiative, PeerJ Computer Science, 3, e142 NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... | 5 | 2017 |
| Simulation study of different equation model for protein kinase C signaling T Manninen, A Saarinen, ML Linne Tampere University of Technology, 2004 | 5 | 2004 |
