Austin R. Graves

The paper introduces a lightweight, screwless Neuropixels fixture for chronic recordings in freely moving rodents, enabling stable multi-probe implants and high extraction success.

The paper introduces a high-density Neuropixels 2.0 Quad Base probe with 1536 channels, demonstrating its ability to capture brain-wide neural activity and reveal new insights into motor decision signals and functional subnetworks in mice.

Perinatal exposure of mice to a Pb, As, Cd and Cr(VI) mixture at EPA levels impaired recognition memory, raised anxiety-like behavior, and altered mPFC neuron function.

The paper introduces SynTrack, a novel algorithm for tracking synaptic dynamics in vivo, achieving high accuracy and scalability in longitudinal synapse tracking.

SLAy automatically merges oversplit spike units in electrophysiology data, improving efficiency and reproducibility compared to manual methods.

The paper develops a convolutional neural network to detect and segment fluorescently labeled synapses in vivo, enabling large-scale analysis of synapses in living mice.

The paper develops a deep learning image restoration method to enhance in vivo synaptic imaging resolution using ex vivo super-resolution techniques, enabling tracking of synaptic plasticity in living mice.

The paper develops DELTA, a method to measure brain-wide synaptic protein turnover at single-synapse resolution, revealing localized plasticity in hippocampal CA1 during learning.

This study identifies the KIBRA-PKCγ signaling pathway as crucial for modulating memory performance in both mice and humans.

The paper develops tools to track synaptic plasticity in vivo by imaging endogenous AMPA receptors and generates a detailed spatiotemporal map of synaptic changes during behavior.

This study investigates the cortico-cerebellar loop in mice, showing that perturbing the pontine nuclei alters motor behavior and suggests the loop fine-tunes motor commands during skilled reaching.

The paper combines expansion and lattice light sheet microscopy to enable high-speed, nanoscale molecular imaging of neural circuits across large volumes.