Hi! I’m Leo Scholl, a neuroscientist building brain-machine interfaces to study learning. I’m currently a postdoctoral researcher in Amy Orsborn’s lab at the University of Washington.
My recent work:
aopy // Open-source neural data analysis repository
bmi3d // Forked repository from the Carmena lab that I and others have been extending with more capabilities for eye-tracking, virtual reality, and accurate experiment timing.
Neural engineering seminar // Virtual seminar series I helped organize during 2020-2022
Pulvinar contributions to visual cortical processing in the rat // PhD Dissertation
Experica // Software for closed-loop vision experiments, in collaboration with Alex Zhang
multisection-imager // Automated fluorescent microscopy acquisition and framework for image processing pipelines, with built-in image stitching, normalization, and flat-field correction
Restoration of vision in rats with retinal degeneration // Talk on how the Lyon lab demonstrated cortical visual responses following retinal sheet transplants in otherwise blind rats
wallberry // A weather station for your home! Probes can be set up around the house or outside, and multiple displays can be connected to a centralized server where data is logged
sense-alarm // A Pebble app that gently wakes you up using the watch accelerometer to detect sleep cycles
pet-dispenser // Teach your pet to press buttons, or run low-cost behavioral experiments