ePoster · Neuroscience
Explainable and consistent embeddings of high-dimensional recordings using auxiliary variables
Steffen Schneider, Jin Hwa Lee, Rodrigo González Laiz, Célia Benquet, Mackenzie Mathis · COSYNE 2023
Sun, Mar 12, 2023
Mapping behavioral actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioral data increases, there is growing interest in modeling neural dynamics during adaptive behaviors to probe neural representations (Urai et al., 2022; Krakauer et al., 2017). In particular, neural latent embeddings can reveal underlying correlates of behavior, yet, we lack non-linear techniques that can explicitly and flexibly leverage joint behavior and neural data. Here, we fill this gap with a novel contrastive learning method that jointly uses time-series d