Merge pull request #21 from dufengtong/main

adding interactive notebook

README.md

@@ -22,8 +22,10 @@ Rastermap runs in python 3.8+ and has a graphical user interface (GUI) for runni
 * [rastermap_singleneurons.ipynb](notebooks/rastermap_singleneurons.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_singleneurons.ipynb) shows how to use it with small to medium sized data (< 200 neurons), in this case recorded from rat hippocampus 
 * [rastermap_zebrafish.ipynb](notebooks/rastermap_zebrafish.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_zebrafish.ipynb) shows how to use it with large-scale data from zebrafish 
 * [rastermap_widefield.ipynb](notebooks/rastermap_widefield.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_widefield.ipynb) shows how to use it with widefield imaging data, or other types of datasets that are too large to fit into memory 
+* [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 
 
+
 All demo 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: