updating readme

README.md

@@ -13,7 +13,7 @@
 [![GitHub forks](https://img.shields.io/github/forks/MouseLand/rastermap?style=social)](https://github.com/MouseLand/rastermap/)
 
 
-Rastermap is a discovery algorithm for neural data. The algorithm was written by Carsen Stringer and Marius Pachitariu. For support,  please open an [issue](https://github.com/MouseLand/rastermap/issues). Please see install instructions [below](README.md/#Installation). If you use Rastermap in your work, please cite the [paper](https://www.biorxiv.org/content/10.1101/2023.07.25.550571v1):
+Rastermap is a discovery algorithm for neural data. The algorithm was written by Carsen Stringer and Marius Pachitariu. For support,  please open an [issue](https://github.com/MouseLand/rastermap/issues). Please see install instructions [below](README.md/#Installation). If you use Rastermap or analysis code in this repo in your work, please cite the [paper](https://www.biorxiv.org/content/10.1101/2023.07.25.550571v1):
 
 Stringer C., Zhong L., Syeda A., Du F., Kesa M., & Pachitariu M. (2023). Rastermap: a discovery method for neural population recordings. *bioRxiv* 2023.07.25.550571; doi: https://doi.org/10.1101/2023.07.25.550571
 
@@ -25,7 +25,7 @@ Rastermap runs in python 3.8+ and has a graphical user interface (GUI) for runni
 * [rastermap_interactive.ipynb](notebooks/rastermap_interactive.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_interactive.ipynb) allows running Rastermap in an interactive way without a local installation
 * [tutorial.ipynb](notebooks/tutorial.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/tutorial.ipynb) is a guided tutorial for integrating rastermap and facemap to visualize behavioral representations. See the student/teacher versions [here](https://github.com/MouseLand/course-materials/tree/main/behavior_encoding).
 
-All demo data available [here](https://osf.io/xn4cm/).
+Also all notebooks to analyze the data and create the figures in the paper are [here](paper/). All data available [here](https://osf.io/xn4cm/). 
 
 Here is what the output looks like for a segment of a mesoscope recording in a mouse during spontaneous activity (3.2Hz sampling rate), compared to random neural sorting: