Amin Nejatbakhsh

The paper introduces a framework for comparing neural population activity using shape distances, demonstrating its application across species and behavioral tasks.

The paper introduces ZephIR, a semi-supervised multiple object tracking framework for 2D/3D videos, demonstrating its versatility in tracking biological systems.

This paper introduces an automated alignment method and pipeline to create a more accurate 3D atlas of C. elegans neurons, improving neuron labeling confidence.

The paper uses NeuroPAL to visualize and analyze the differentiation of male-specific neurons in C. elegans, showing coordinated terminal differentiation in the fourth larval stage.

The paper introduces NeuroPAL, a multicolor transgene for neuronal identification in C. elegans, and demonstrates its use in mapping neurotransmitter receptors, cell fate changes, and brain activity.

The paper develops a framework to predict the effects of neural perturbations using functional causal flow inferred from resting state activity in monkeys.

This paper introduces a deformable non-negative matrix factorization method to extract neural signals from moving animals, outperforming traditional methods on simulated and real data.