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2020 – today
- 2024
[j23]Mikko Lehtimäki
, Lassi Paunonen, Marja-Leena Linne:
Accelerating Neural ODEs Using Model Order Reduction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 519-531 (2024)- 2023
- [j22]Tiina Manninen, Jugoslava Acimovic, Marja-Leena Linne:
Analysis of Network Models with Neuron-Astrocyte Interactions. Neuroinformatics 21(2): 375-406 (2023) - 2021
- [i1]Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne:
Accelerating Neural ODEs Using Model Order Reduction. CoRR abs/2105.14070 (2021) - 2020
- [j21]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) - [c6]Mikko Lehtimäki, Ippa Seppälä, Lassi Paunonen, Marja-Leena Linne:
Accelerated Simulation of a Neuronal Population via Mathematical Model Order Reduction. AICAS 2020: 118-122
2010 – 2019
- 2019
- [c5]Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne:
Projection-based order reduction of a nonlinear biophysical neuronal network model. CDC 2019: 1-6 - 2018
- [j20]Tiina Manninen, Riikka Havela, Marja-Leena Linne:
Computational Models for Calcium-Mediated Astrocyte Functions. Frontiers Comput. Neurosci. 12: 14 (2018) - [j19]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
- [j18]Tiina Manninen, Riikka Havela, Marja-Leena Linne:
Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability. Frontiers Neuroinformatics 11: 11 (2017) - [c4]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 - 2011
- [j17]Jukka Intosalmi, Tiina Manninen, Keijo Ruohonen, Marja-Leena Linne:
Computational study of noise in a large signal transduction network. BMC Bioinform. 12: 252 (2011) - [j16]Jugoslava Acimovic, Tuomo Mäki-Marttunen, Riikka Havela, Heidi Teppola, Marja-Leena Linne:
Modeling of Neuronal Growth In Vitro: Comparison of Simulation Tools NETMORPH and CX3D. EURASIP J. Bioinform. Syst. Biol. 2011 (2011) - [j15]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) - [j14]Tuomo Mäki-Marttunen, Jugoslava Acimovic, Matti Nykter, Juha Kesseli, Keijo Ruohonen, Olli Yli-Harja, Marja-Leena Linne:
Information Diversity in Structure and Dynamics of Simulated Neuronal Networks. Frontiers Comput. Neurosci. 5: 26 (2011) - 2010
- [j13]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)
2000 – 2009
- 2008
- [j12]Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja:
Stochastic Differential Equation Model for Cerebellar Granule Cell Excitability. PLoS Comput. Biol. 4(2) (2008) - 2007
- [j11]Antti Niemistö, Matti Nykter, Tommi Aho, Henna Jalovaara, Kalle Marjanen, Miika Ahdesmäki, Pekka Ruusuvuori, Mikko Tiainen, Marja-Leena Linne, Olli Yli-Harja:
Computational Methods for Estimation of Cell Cycle Phase Distributions of Yeast Cells. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - 2006
- [j10]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) - [j9]Marja-Leena Linne, Tuula O. Jalonen:
Properties and roles of BKCa channels in cultured cerebellar granule neuron: Experimental and simulation studies. Neurocomputing 69(10-12): 1014-1019 (2006) - [j8]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) - [j7]Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja:
Modeling single neuron behavior using stochastic differential equations. Neurocomputing 69(10-12): 1091-1096 (2006) - [j6]Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne:
Comparison of automated parameter estimation methods for neuronal signaling networks. Neurocomputing 69(10-12): 1371-1374 (2006) - [c3]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
- [j5]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
- [j4]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) - 2003
- [j3]Marja-Leena Linne, Tuula O. Jalonen:
Simulations of the cultured granule neuron excitability. Neurocomputing 52-54: 583-590 (2003) - [j2]Harri Lähdesmäki, Heikki Huttunen, Tommi Aho, Marja-Leena Linne, Jari Niemi, Juha Kesseli, Ronald K. Pearson, Olli Yli-Harja:
Estimation and inversion of the effects of cell population asynchrony in gene expression time-series. Signal Process. 83(4): 835-858 (2003) - [c2]Antti Niemistö, Tommi Aho, Henna Thesleff, Mikko Tiainen, Kalle Marjanen, Marja-Leena Linne, Olli Yli-Harja:
Estimation of population effects in synchronized budding yeast experiments. Image Processing: Algorithms and Systems 2003: 448-459 - 2000
- [c1]Marja-Leena Linne, Tuula O. Jahnen:
Mathematical model of a small neuron. EUSIPCO 2000: 1-4
1990 – 1999
- 1996
- [j1]Marja-Leena Linne, S. S. Oja, Tuula O. Jalonen:
Simultaneous Detection of Action Potential Current Waveforms and Single Ion Channel Openings in Rat Cerebellar Granule Cells. Int. J. Neural Syst. 7(4): 377-384 (1996)
Coauthor Index
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