Shuqi Wang

Exploiting correlations across trials and behavioral sessions to improve neural decoding

This paper improves neural decoding by exploiting correlations across trials and sessions, showing better accuracy for four behaviors in mice using interpretable models.

Reproducibility of in-vivo electrophysiological measurements in mice

This study evaluates the reproducibility of electrophysiological measurements across ten labs using standardized protocols and finds that variability in electrode targeting and statistical methods affects reproducibility.

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

The paper presents a solvable RNN model showing low-dimensional latent dynamics can generate high-dimensional neuronal activity, and introduces NCE to demonstrate this in mouse visual cortex data.