Troy W. Margrie

The paper introduces BakingTray, an open-source software platform for block-face serial two-photon tomography, demonstrating its utility in neuroscience applications.

This paper reconstructs natural movies from mouse visual cortex activity using single-cell recordings and achieves high-quality reconstructions with pixel-level accuracy.

This study identifies a movement-based dopamine signal in mice that acts as a value-free teaching signal for learning sound-action associations, working alongside reward prediction error.

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

The paper introduces an adaptable implant for chronic Neuropixels recordings in mice, enabling stable, reusable, and lightweight neural recordings across multiple experimental conditions.

The paper identifies unintended neuronal activation in the contralateral visual cortex during optogenetic stimulation and proposes ambient light adaptation to mitigate retinal activation.

The paper identifies Layer 6 corticocortical neurons as a major pathway for both intra- and interhemispheric feedback in the mouse neocortex.

The paper shows that tactile stimulation suppresses visual activity in primary visual cortex via interneurons receiving input from somatosensory cortex in mice.

This study identifies VGAT+ neurons in the dPAG that modulate escape behavior by tonically controlling excitatory neurons during threat response.

This paper identifies a cortico-collicular circuit in mice that encodes shelter direction and is essential for accurate orientation during escape.

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.

The paper quantifies the similarity in long-range presynaptic connectivity between excitatory and inhibitory L2/3 neurons in mouse V1, finding they receive input from similar brain regions in comparable proportions.

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

This study shows that visual input modifies intrinsic excitability of visual cortical neurons in mice, compensating for changes in synaptic drive to maintain sensory function.