Code:

Datasets:

APE_paper

Reproduction of figures for the APE paper

Francesca Greenstreet, Hernando Vergara, Yvonne Johansson, Sthitapranjya Pati, Stephen C Lenzi, Alina Gubanova, Laura Schwarz, Matthew Wisdom, Fred Marbach, Lars Rollik, Theodore Moskovitz, Joseph Cohen, Emmett Thompson, Troy W Margrie, Claudia Clopath, Marcus Stephenson-Jones, "Action prediction error: a value-free dopaminergic teaching signal that drives stable learning." bioRxiv, 2022.

See documentation (scripts to generate figures) here

To run things locally in your machine:

1. clone this repo

git clone https://github.com/HernandoMV/APE_paper.git

2. create the environment (optional). Otherwise you might need to install some dependencies manually.

   conda env create -f environment.yml
   conda activate APE_paper
   

3. install the tool to analyse the behavior

   Option 1: from PyPi

   pip install mouse-behaviour-analysis-tools
   

   Option 2: from the tools repo

   https://github.com/HernandoMV/mouse-behavior-analysis-tools

   With this option it will be easier for you to change things from the functions directly, such as plotting options.

   3.2.1. clone the repo

   git clone https://github.com/HernandoMV/mouse-behavior-analysis-tools.git
   

   3.2.2. change the current directory to that of the cloned repo

   cd mouse-behaviour-analysis-tools
   

   3.2.3. in the root directory of the cloned repo type

   pip install -e .
   

4. run the scripts in scripts folder, or download them in script or notebook format from the documentation

Run the Google Colab notebooks directly in your browser:

Figure 1 C

Figure 1 EF

Figure 1 IJK

Figure 2 BCDE

Figure 6 CDF

Figure 7 FG

Suppl. Figure 5 FG

Suppl. Figure 6 PQR

Suppl. Figure 6 TU

Suppl. Figure 6 VW