| Extremely simple activation shaping for out-of-distribution detection A Djurisic, N Bozanic, A Ashok, R Liu arXiv preprint arXiv:2209.09858, 2022 | 136 | 2022 |
| SPIKY: a graphical user interface for monitoring spike train synchrony T Kreuz, M Mulansky, N Bozanic Journal of neurophysiology 113 (9), 3432-3445, 2015 | 80 | 2015 |
| Measures of spike train synchrony for data with multiple time scales E Satuvuori, M Mulansky, N Bozanic, I Malvestio, F Zeldenrust, K Lenk, ... Journal of neuroscience methods 287, 25-38, 2017 | 38 | 2017 |
| A guide to time-resolved and parameter-free measures of spike train synchrony M Mulansky, N Bozanic, A Sburlea, T Kreuz 2015 International Conference on Event-based Control, Communication, and …, 2015 | 31 | 2015 |
| SPIKE-Synchronization: a parameter-free and time-resolved coincidence detector with an intuitive multivariate extension T Kreuz, N Bozanic, M Mulansky BMC Neuroscience 16 (Suppl 1), P170, 2015 | 11 | 2015 |
| A measure of concurrent neural firing activity based on mutual information G Mijatovic, T Loncar-Turukalo, N Bozanic, N Milosavljevic, R Storchi, ... Neuroinformatics, 1-17, 2021 | 5 | 2021 |
| In search of lost domain generalization A Djurisic, N Bozanic, A Ashok, R Liu International Conference on Learning Representations, 2023 | 3 | 2023 |
| Spiky N Bozanic, M Mulansky, T Kreuz Scholarpedia 9 (12), 32344, 2014 | 3 | 2014 |
| Information–theoretic characterization of concurrent activity of neural spike trains G Mijatovic, T Loncar-Turukalo, N Bozanic, L Faes 2020 28th European Signal Processing Conference (EUSIPCO), 925-929, 2021 | 2 | 2021 |
| Investigating Neural Correlations–an Approach to Measure Concurrent Firing Activity G Mijatovic, T Loncar-Turukalo, N Bozanic 2020 11th Conference of the European Study Group on Cardiovascular …, 2020 | 1 | 2020 |
| Measures of spike train synchrony N Bozanic | 1 | 2016 |
| SPIKY: A graphical user interface for tracking spike train similarity T Kreuz, N Bozanic BMC Neuroscience 15 (Suppl 1), P201, 2014 | 1 | 2014 |
| Measures of spike train synchrony for data with multiple time scales I Malvestio, E Satuvuori, M Mulansky, N Bozanic, F Zeldenrust, K Lenk, ... Journal of Neuroscience Methods. 2017 Aug 1; 287: 25-38, 2017 | | 2017 |
| Time-frequency characterization of local field potential in a decision making task T Lončar-Turukalo, G Mijatović, N Božanic, FM Stoll, D Bajić, E Procyk 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | | 2015 |
| SPIKY T Kreuz, M Mulansky, N Bozanic SCHOLARPEDIA JOURNAL 9, 32344-32344, 2014 | | 2014 |
| SPIKY: a graphical user interface for monitoring spike train synchrony N Bozanic, T Kreuz BMC Neuroscience 14 (Suppl 1), P225, 2013 | | 2013 |
| Using spike train distances to identify the most discriminative neuronal subpopulation T Kreuz, N Bozanic BMC Neuroscience 14 (Suppl 1), P35, 2013 | | 2013 |
Thomas KreuzSenior Researcher, Institute of Complex Systems (CNR), Florence, ItalyEmail verificata su cnr.it
