Adam L. Tyson

The paper creates a high-resolution 3D digital brain atlas of the Eurasian blackcap to serve as a reference for studying magnetoreception and navigation.

NeuralPlayground provides a standardized framework to compare computational models of hippocampus and entorhinal cortex with experimental data on spatial cognition.

The paper uses geometric deep learning to analyze 3D cell shapes from melanoma cells, identifying morphological signatures and predicting small molecule mechanisms.

The paper develops open-source Python tools for accurately mapping the location of dye-labelled probes and fluorescent cells in whole-brain microscopy images.

This study identifies that vestibular inputs dominate angular head velocity coding in the retrosplenial cortex, while visual input enhances its accuracy during navigation.

The paper introduces a deep learning algorithm for automated 3D detection of neuronal somata in whole mouse brain images, demonstrating its effectiveness on fluorescently labeled cell populations.

Brainrender is a Python package for interactive visualization of anatomically registered brain data, enabling seamless integration of diverse datasets and atlases.

This study optimizes and validates a hydrogel-based brain tissue clearing protocol, showing uniform expansion across anatomical regions and spatial scales.

This study uses diffusion tensor MRI and CLARITY to show structural brain changes in Nrxn2 knockout mice, revealing altered connectivity in socially relevant regions.