Nebojsa holds a PhD degree in Computational Neuroscience which was carried out under the supervision of Dr Thomas Kreuz and co-supervision of Alessandro Torcini from the Institute for Complex Systems, University of Florence, Italy. He holds a M.Sc. in Electrical Engineering from the Faculty of Technical Sciences, University of Novi Sad, Serbia.

His research interests in previous years were primarily devoted to neural coding and spike train analysis and finding patterns in electrical activity of neurons in the brain (using similarity and distance measures).

Nebojsa joined our lab in Basel as a research associatein November 2017.



Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, Kreuz T. Measures of spike train synchrony for data with multiple time-scales. Journal of Neuroscience Methods vol. 287, (2017), pp. 25-38

Bozanic N, Mulansky M, Kreuz T. SPIKY. Scholarpedia Journal 9(12), 32344 (2015)

Kreuz T, Mulansky M, Bozanic N. SPIKY: A graphical user interface for monitoring spike train synchrony. Journal of Neurophysiology 113.9 (2015), pp. 3432–3445.

Mulansky M, Bozanic N, Sburlea A, Kreuz T. A guide to time-resolved and parameter-free measures of spike train synchrony. International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). 2015. pp. 1–8.

Loncar-Turukalo T, Mijatovic G, Bozanic N, Stoll F, Bajic D, Procyk E. Time-Frequency Characterization of Local Field Potential in a Decision Making Task. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2015.

Bozanic N, Loncar Turukalo T, Negyessy L, Bazso F, Procyk E, Bajic D. Removal of Action Potential Influence on Local Field Potentials Using Empirical Mode Decomposition. Proceedings VII International Workshop on Biosignal Interpretation, BSI2012, pp. 149-152. 2012.