Marja-Leena Linne

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 10

Top Topics

Mathematical Models

Biological Vision

Computational Model

Top Venues

Frontiers Neuroinformatics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne
Accelerating Neural ODEs Using Model Order Reduction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Tiina Manninen, Jugoslava Acimovic, Marja-Leena Linne
Analysis of Network Models with Neuron-Astrocyte Interactions. Neuroinformatics 21 (2) (2023)
Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne
Accelerating Neural ODEs Using Model Order Reduction. CoRR (2021)
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)
Mikko Lehtimäki, Ippa Seppälä, Lassi Paunonen, Marja-Leena Linne
Accelerated Simulation of a Neuronal Population via Mathematical Model Order Reduction. AICAS (2020)
Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne
Projection-based order reduction of a nonlinear biophysical neuronal network model. CDC (2019)
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 (2018)
Tiina Manninen, Riikka Havela, Marja-Leena Linne
Computational Models for Calcium-Mediated Astrocyte Functions. Frontiers Comput. Neurosci. 12 (2018)
Tiina Manninen, Riikka Havela, Marja-Leena Linne
Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability. Frontiers Neuroinformatics 11 (2017)
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)
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)
Jugoslava Acimovic, Tuomo Mäki-Marttunen, Riikka Havela, Heidi Teppola, Marja-Leena Linne
: Comparison of Simulation Tools NETMORPH and CX3D. EURASIP J. Bioinform. Syst. Biol. 2011 (2011)
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 (2011)
Jukka Intosalmi, Tiina Manninen, Keijo Ruohonen, Marja-Leena Linne
Computational study of noise in a large signal transduction network. BMC Bioinform. 12 (2011)
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 (2010)
Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja
Stochastic Differential Equation Model for Cerebellar Granule Cell Excitability. PLoS Comput. Biol. 4 (2) (2008)
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)
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)
Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja
Modeling single neuron behavior using stochastic differential equations. Neurocomputing 69 (10-12) (2006)
Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
Developing Itô stochastic differential equation models for neuronal signal transduction pathways. Comput. Biol. Chem. 30 (4) (2006)
Marja-Leena Linne, Tuula O. Jalonen
channels in cultured cerebellar granule neuron: Experimental and simulation studies. Neurocomputing 69 (10-12) (2006)
Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
A novel approach to model neuronal signal transduction using stochastic differential equations. Neurocomputing 69 (10-12) (2006)
Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne
Comparison of automated parameter estimation methods for neuronal signaling networks. Neurocomputing 69 (10-12) (2006)
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) (2005)
Marja-Leena Linne, Tiina Manninen, Tuula O. Jalonen
A model integrating the cerebellar granule neuron excitability and calcium signaling pathways. Neurocomputing (2004)
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)
Marja-Leena Linne, Tuula O. Jalonen
Simulations of the cultured granule neuron excitability. Neurocomputing (2003)
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) (2003)
Marja-Leena Linne, Tuula O. Jahnen
Mathematical model of a small neuron. EUSIPCO (2000)
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) (1996)