← Search

Mateusz Pabian

2 accepted papers

2023

Asymptotically Optimal Nonparametric Classification Rules for Spike Train Data

ICASSP 2023accepted

Spike train data find a growing list of applications in computational neuroscience, streaming data and finance. Statistical analysis of spike trains is based on various probabilistic and neural network models. The statistical approach relies on parametric or nonparametric specifications of the under…

Cited by 0SourceScholar
2022

Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance

ICASSP 2022accepted

This study adapts the highly-versatile siamese neural network model to the event data domain. We introduce a supervised training framework for optimizing Earth Mover's Distance (EMD) between spike trains with spiking neural networks (SNN). We train this model on images of the MNIST dataset converted…

Cited by 0SourceScholar