From 0566206d4028cc59f8de94b3876dd693adabdb81 Mon Sep 17 00:00:00 2001 From: Mackenzie Mathis Date: Thu, 15 Jan 2026 10:29:56 -0700 Subject: [PATCH] Update README with patent details and method description Added patent information and updated description of the 'cebra' method. --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index af7f9c08..d75fd99b 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ To receive updates on code releases, please 👀 watch or ⭐️ star this repository! -``cebra`` is a self-supervised method for non-linear clustering that allows for label-informed time series analysis. +``cebra`` is a patented self-supervised method for non-linear clustering that allows for label-informed time series analysis. 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. @@ -50,6 +50,10 @@ Steffen Schneider, Rodrigo González Laiz, Anastasiia Filipova, Markus Frey, Mac [Learnable latent embeddings for joint behavioral and neural analysis.](https://arxiv.org/abs/2204.00673) Steffen Schneider*, Jin Hwa Lee* and Mackenzie Weygandt Mathis +# Patent Information + +- [Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings](https://patents.google.com/patent/US12499131B2/en). Steffen Schneider* & Mackenzie Weygandt Mathis*. Awarded Dec 2025. Please contact the [TTO office](adam.swetloff@epfl.ch) at EPFL for licensing. + # License - Since version 0.4.0, CEBRA is open source software under an Apache 2.0 license.