Research

Publications.

Selected work in computer vision, generative models, and visual computing.

2026
01
2024
02
Research pipeline showing resting-state fMRI signals, connectivity matrices, and machine learning classification

Cortex, Volume 181

Distinct Connectivity Patterns Between Perception and Attention-Related Brain Networks Characterize Dyslexia: Machine Learning Applied to Resting-State fMRI

Nikolay Taran, Rotem Gatenyo, Emmanuelle Hadjadj, Rola Farah, Tzipi Horowitz-Kraus

A machine learning study of resting-state functional connectivity in children with and without dyslexia. Connectivity patterns between brain networks related to perception and attention were used to investigate automated classification and the neural characteristics associated with dyslexia.