Lenk K, Satuvuori E, Lallouette J, Ladrón-de-Guevara A, Berry H, Hyttinen JAK. 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. 2020 tammi 22;13. 92. https://doi.org/10.3389/fncom.2019.00092

Acimovic J, Teppola H, Mäki-Marttunen TM, Linne M-L. 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. 2018 loka 29;19(Suppl 2):68-69.

Lehtimäki M, Paunonen L, Linne M-L. Improvement of computational efficiency of a biochemical plasticity model. BMC Neuroscience. 2018 syys 29;19(Suppl 2):66-66. P130. https://doi.org/10.1186/s12868-018-0452-x#Sec613

Acimovic J, Teppola H, Mäki-Marttunen TM, Linne M-L. 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?. 2018. Julkaisun esittämispaikka: Brain and Mind Symposium 2018, Helsinki, Suomi.

Välkki IA, Lenk K, Mikkonen JE, Kapucu FE, Hyttinen JAK. Network-wide adaptive burst detection depicts neuronal activity with improved accuracy. Frontiers in Computational Neuroscience. 2017 touko 31;11. 40. https://doi.org/10.3389/fncom.2017.00040

Acimovic J, Mäki-Marttunen TM, Linne M-L. Whole-cell morphological properties of neurons constrain the nonrandom features of network connectivity. julkaisussa Cymbalyuk G, Burkitt A, toimittajat, 24th Annual Computational Neuroscience Meeting: CNS*2015. Vuosikerta 16 (Suppl 1). Prague: BioMed Central. 2015. s. P:O7. O7

Basnyat P, Natarajan R, Vistbakka J, Lehtikangas M, Airas L, Matinlauri I et al. Elevated levels of soluble CD26 and CD30 in multiple sclerosis. Clinical and Experimental Neuroimmunology. 2015 marras 1;6(4):419-425. https://doi.org/10.1111/cen3.12253

Acimovic J, Mäki-Marttunen T, Linne M-L. The effects of neuron morphology on graph theoretic measures of network connectivity: The analysis of a two-level statistical model. Frontiers in Neuroanatomy. 2015 kesä 10;9(June). 76. https://doi.org/10.3389/fnana.2015.00076

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. On the effect of network structure and synaptic mechanisms on sustained bursting activity. julkaisussa Cymbalyuk G, Prinz A, toimittajat, Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Vuosikerta Volume 14 Suppl 1. Paris, France: BioMed Central. 2013. s. P247

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. In silico study on structure and dynamics in bursting neuronal networks. julkaisussa Neuroscience 2012; 42nd Annual Meeting, New Orleans, USA, October 14-18, 2012. Society for Neuroscience (SfN). 2012. 300.26/DDD70

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. Significance of graph theoretic measures in predicting neuronal network activity. julkaisussa Proceedings of The 9th annual Computational and Systems Neuroscience meeting (COSYNE 2012). Salt Lake City. 2012. s. 55-55. I-15

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. Effects of local structure of neuronal networks on spiking activity in silico. julkaisussa Fellous J-M, Prinz A, toimittajat, Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Vuosikerta 12 (Suppl 1). Stockholm: BioMed Central. 2011. s. P202

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

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

Acimovic J, Mäki-Marttunen T, Linne M-L. Computational study of structural changes in neuronal networks during growth: a model of dissociated neocortical cultures. julkaisussa Fellous J-M, Prinz A, toimittajat, Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Vuosikerta 12 (Suppl 1). Stockholm: BioMed Central. 2011. s. P203. P203. (Annual Computational Neuroscience Meeting CNS). https://doi.org/10.1186/1471-2202-12-S1-P203

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

Acimovic J, Teppola H, Selinummi JJ, Linne M-L. Computational tools for assessing the properties of 2D neural cell cultures. julkaisussa Johnson D, toimittaja, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009. Vuosikerta 10 (Suppl 1). Berlin: BioMed Central. 2009. s. P170. P170

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