Elizabeth A. de Laittre

The paper examines how movement variability is encoded in the motor cortex of mice over multiple days, finding that most neurons maintain stable encoding despite small declines in similarity over time.

The paper uses a U-net architecture to learn a low-dimensional, generalizable representation of time in natural scenes from retinal ganglion cell activity, achieving 17 ms resolution across different movies.