This is a guide to the code and data for the paper Mondragón-González, S. L., Schreiweis C, C., & Burguière E, E. (2024). Closed-loop recruitment of striatal parvalbumin interneurons prevents compulsive-like grooming behaviours. Nature Neuroscience. Link to Paper. Each listed repository is dedicated to a specific type of analysis or dataset. Please follow the links provided to explore the repositories in detail.
- Repository 1: Closed-loop - TriFilterNet
- Repository 2: Data Set 1
- Repository 3: Analysis LFP
- Repository 4: Data Set 2
- Citation
Description: Designed to detect pre-grooming events in mice by analyzing local field potential (LFP) recordings. It uses triangular filters for feature selection, reducing data to a matrix of decorrelated coefficients. These coefficients are the input for an artificial neural network to classify behavioral states. It includes its own demo data.
- Code: Link to code
- Related Data: Link to Related Data
Description: It features the electrophysiological recordings and the associated grooming markers used in the paper to asses the closed-loop algorithm. The data is compressed and available at the Open Science Framework.
- Data Repository: Link to Data Set 1
- DOI: 10.17605/OSF.IO/KDMJT
Description: This repository contains the local field potential analysis scripts and functions.
- Code: Link to code
- Related Data: Data Set 2
Description: It features the electrophysiological recordings in the mice's orbitofrontal cortex around grooming events. The data is available at the Open Science Framework.
- Data Repository: Link to Data Set 2
- DOI: 10.17605/OSF.IO/KDMJT
If you use this code or data we kindly ask you to cite our work.
- Data:
(APA style) Mondragón-González, S. L. (2024, March 26). 2024_Mondragon-Gonzalez_NatureNeuroscience. https://doi.org/10.17605/OSF.IO/KDMJT
- Article: Mondragon et al 2024: DOI
@article{Mondragon2024, title = {Closed-loop recruitment of striatal interneurons prevents compulsive-like grooming behaviours}, author = {Sirenia Lizbeth Mondragón-González and Christiane Schreiweis and Eric Burguière}, journal = {Nature Neuroscience}, year = {2024}, url = {https://www.nature.com/articles/s41593-024-01633-3}}