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Lenk K, Satuvuori E, Lallouette J, Ladrón-de-Guevara A, Berry H, Hyttinen JAK. 2020. A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate. Frontiers in Computational Neuroscience. 13. https://doi.org/10.3389/fncom.2019.00092

Acimovic J, Teppola H, Mäki-Marttunen TM, Linne M-L. 2018. Data-driven study of synchronous population activity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena?. BMC Neuroscience. 19(Suppl 2):68-69.

Lehtimäki M, Paunonen L, Linne M-L. 2018. Improvement of computational efficiency of a biochemical plasticity model. BMC Neuroscience. 19(Suppl 2):66-66. https://doi.org/10.1186/s12868-018-0452-x#Sec613

Acimovic J, Teppola H, Mäki-Marttunen TM, Linne M-L. 2018. Data-driven study of synchronous popula on ac vity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena?. Julkaisun esittämispaikka: Brain and Mind Symposium 2018, Helsinki, Suomi.

Välkki IA, Lenk K, Mikkonen JE, Kapucu FE, Hyttinen JAK. 2017. Network-wide adaptive burst detection depicts neuronal activity with improved accuracy. Frontiers in Computational Neuroscience. 11. https://doi.org/10.3389/fncom.2017.00040

Acimovic J, Mäki-Marttunen TM, Linne M-L. 2015. Whole-cell morphological properties of neurons constrain the nonrandom features of network connectivity. Cymbalyuk G, Burkitt A, Toimittajat. teoksessa 24th Annual Computational Neuroscience Meeting: CNS*2015. Prague: BioMed Central. Sivut P:O7.

Basnyat P, Natarajan R, Vistbakka J, Lehtikangas M, Airas L, Matinlauri I, Elovaara I, Hagman S. 2015. Elevated levels of soluble CD26 and CD30 in multiple sclerosis. Clinical and Experimental Neuroimmunology. 6(4):419-425. https://doi.org/10.1111/cen3.12253

Acimovic J, Mäki-Marttunen T, Linne M-L. 2015. The effects of neuron morphology on graph theoretic measures of network connectivity: The analysis of a two-level statistical model. Frontiers in Neuroanatomy. 9(June). https://doi.org/10.3389/fnana.2015.00076

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2013. On the effect of network structure and synaptic mechanisms on sustained bursting activity. Cymbalyuk G, Prinz A, Toimittajat. teoksessa Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France: BioMed Central. Sivut P247.

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2012. In silico study on structure and dynamics in bursting neuronal networks. teoksessa Neuroscience 2012; 42nd Annual Meeting, New Orleans, USA, October 14-18, 2012. Society for Neuroscience (SfN).

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2012. Significance of graph theoretic measures in predicting neuronal network activity. teoksessa Proceedings of The 9th annual Computational and Systems Neuroscience meeting (COSYNE 2012). Salt Lake City. Sivut 55-55.

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2011. Effects of local structure of neuronal networks on spiking activity in silico. Fellous J-M, Prinz A, Toimittajat. teoksessa Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Stockholm: BioMed Central. Sivut P202.

Acimovic J. 2011. Emergence of global and local structural features during development of neuronal networks. teoksessa Proceedings of the Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zürich, Switzerland . Tampere: TICSP. (TICSP Series ).

Mäki-Marttunen T, Acimovic J, Ruohonen K, Linne M-L. 2011. Effects of structure on spontaneous activity in simulated neuronal networks. teoksessa Proceedings of Mathematical Neuroscience (ICMS 2011), April 11-13, 2011, Edinburgh, Scotland.

Acimovic J, Mäki-Marttunen T, Linne M-L. 2011. Computational study of structural changes in neuronal networks during growth: a model of dissociated neocortical cultures. Fellous J-M, Prinz A, Toimittajat. teoksessa Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Stockholm: BioMed Central. Sivut P203. (Annual Computational Neuroscience Meeting CNS). https://doi.org/10.1186/1471-2202-12-S1-P203

Acimovic J, Mäki-Marttunen T, Linne M-L. 2010. Computational modeling of growth in cortial cultures using the NETMORPH simulation tool. teoksessa Neuroscience 2010, 40th Annual Meeting, San Diego, USA, 13-17 November 2010. Sivut 2 p.

Acimovic J, Teppola H, Selinummi JJ, Linne M-L. 2009. Computational tools for assessing the properties of 2D neural cell cultures. Johnson D, Toimittaja. teoksessa Eighteenth Annual Computational Neuroscience Meeting: CNS*2009. Berlin: BioMed Central. Sivut P170.

Acimovic J. 2009. Neural networks, cell cultures and some older work on data analysis. Julkaisun esittämispaikka: Okinawa Computational Neuroscience Course 2009, Japani.