diff --git a/README.md b/README.md
index b26644d..7030d4d 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,12 @@
 # EKS
 This repo contains code to run an Ensemble Kalman Smoother (EKS) for improving pose estimation outputs.
 
-The EKS uses a Kalman filter to ensemble and smooth pose estimation outputs as a post-processing
+The EKS uses a Kalman smoother to ensemble and smooth pose estimation outputs as a post-processing
 step after multiple model predictions have been generated, resulting in a more robust output:
 
 ![](assets/crim13_singlecam.gif)
 
-In this gif, there are five models (in red) on which EKS is run to generate the EKS
-output (in green). As can be seen, the EKS output improves tracking by ensembling and smoothing the
-individual model outputs, which can often diverge considerably for difficult frames.
+For more details see [Biderman, Whiteway et al. 2024, Nature Methods](https://rdcu.be/dLP3z).
 
 ---
 
diff --git a/eks/__init__.py b/eks/__init__.py
index 30030a0..c229e2e 100644
--- a/eks/__init__.py
+++ b/eks/__init__.py
@@ -1,3 +1,3 @@
 from eks import *
 
-__version__ = '1.1.0'
+__version__ = '2.0.0'