From 3411c7677a2cf5aadad515aca6694035cdd295e5 Mon Sep 17 00:00:00 2001 From: Mackenzie Mathis Date: Mon, 30 Jun 2025 21:39:42 +0900 Subject: [PATCH] Update README.md - adding xCEBRA to readme --- README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5fed1f00..af7f9c08 100644 --- a/README.md +++ b/README.md @@ -35,7 +35,12 @@ To receive updates on code releases, please 👀 watch or ⭐️ star this repos It can jointly use behavioral and neural data in a hypothesis- or discovery-driven manner to produce consistent, high-performance latent spaces. While it is not specific to neural and behavioral data, this is the first domain we used the tool in. This application case is to obtain a consistent representation of latent variables driving activity and behavior, improving decoding accuracy of behavioral variables over standard supervised learning, and obtaining embeddings which are robust to domain shifts. -# Reference +# References + +- 📄 **Publication April 2025**: + [Time-series attribution maps with regularized contrastive learning.](https://arxiv.org/abs/2502.12977) +Steffen Schneider, Rodrigo González Laiz, Anastasiia Filipova, Markus Frey, Mackenzie Weygandt Mathis. AISTATS 2025. + - 📄 **Publication May 2023**: [Learnable latent embeddings for joint behavioural and neural analysis.](https://doi.org/10.1038/s41586-023-06031-6)