Nebojsa Bozanic

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Rosanne Liu, Arjun Ashok, Andrija Djurisic, 2022, ArXiv.

Using spike train distances to identify the most discriminative neuronal subpopulation

T. Kreuz, Nebojsa Bozanic, 2013, Journal of Neuroscience Methods.

Measures of spike train synchrony for data with multiple time scales

Fleur Zeldenrust, Thomas Kreuz, Nebojsa Bozanic, 2017, Journal of Neuroscience Methods.

SPIKY: a graphical user interface for monitoring spike train synchrony

Thomas Kreuz, Nebojsa Bozanic, T. Kreuz, 2013, BMC Neuroscience.

A guide to time-resolved and parameter-free measures of spike train synchrony

Thomas Kreuz, Nebojsa Bozanic, Mario Mulansky, 2015, 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Information – theoretic characterization of concurrent activity of neural spike trains

Luca Faes, Gorana Mijatovic, Tatjana Loncar-Turukalo, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Rosanne Liu, Arjun Ashok, Andrija Djurisic, 2022, ICLR.

A Measure of Concurrent Neural Firing Activity Based on Mutual Information

Luca Faes, Gorana Mijatovic, Tatjana Loncar-Turukalo, 2020, Neuroinformatics.

Measures of spike train synchrony for data with multiple time scales

T. Kreuz, F. Zeldenrust, M. Mulansky, 2017, Journal of Neuroscience Methods.

SPIKY: a graphical user interface for monitoring spike train synchrony.

T. Kreuz, M. Mulansky, Nebojsa Bozanic, 2014, Journal of neurophysiology.