Illia Horenko

The paper benchmarks spiking neural networks for whisker stimulus classification in mice, showing their accuracy, efficiency, and ability to generalize across individuals.

The paper introduces a probabilistic Mumford-Shah denoising model that effectively reduces noise in 3D images and 2D videos while maintaining quality and computational efficiency.

The paper introduces a low-cost computational tool for discretization, prediction, and feature selection in complex systems, achieving significant cost and performance improvements.

The paper introduces a new relation measure, Linkage Probability, to analyze genetic data and reveals 3D chromatin loop effects in SNP data.