23 citations · 40 across the 4 of their papers we have counts for
4 papers
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok +1
The separation between training and deployment of machine learning models implies that not all scenarios encountered in deployment can be anticipated during training, and therefore…
Measures of spike train synchrony for data with multiple time-scales
Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic +4
Background: Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the I…
A guide to time-resolved and parameter-free measures of spike train synchrony
Mario Mulansky, Nebojsa Bozanic, Andreea Sburlea +1
Measures of spike train synchrony have proven a valuable tool in both experimental and computational neuroscience. Particularly useful are time-resolved methods such as the ISI- an…
SPIKY: A graphical user interface for monitoring spike train synchrony
Thomas Kreuz, Mario Mulansky, Nebojsa Bozanic
Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of exp…