Jaikishan Jayakumar

This study creates a 3D histological cell atlas of the developing human brain, providing detailed cell counts, proliferative dynamics, and cell type distribution at 13-14 and 20-21 gestational weeks.

The paper establishes neuroanatomical correspondences between mouse and marmoset brains by analyzing atlas structures and creating a computational tool for comparative analysis.

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

This paper introduces topological methods to detect and skeletonize neurons and tracer injections, showing improved performance over existing techniques.

This paper presents an unsupervised algorithm for detecting labeled nuclei in whole mouse brain images, achieving performance close to human accuracy.

The paper shows that the diversity of orientation selectivity in macaque visual cortex arises from a limited number of broadly-tuned thalamic input channels.