Illia Horenko

Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization

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

Quality-preserving low-cost probabilistic 3D denoising with applications to Computed Tomography

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.

Low-cost scalable discretization, prediction and feature selection for complex systems

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

Imputation of posterior linkage probability relations reveals a significant influence of structural 3D constraints on linkage disequilibrium

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