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mwm-ml-gen (Morris Water Maze - Machine Learning - Generalized) is the generalised version of mwm-ml (github link, bitbucket link) which is used for rodent trajectory data analysis.
mwm-ml was first created by Tiago V. Gehring as a custom set of software tools capable of reproducing the analysis procedure and findings of the publication of Gehring et al.: Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial. Sci. Rep. 5, 14562; doi: 10.1038/srep14562 (2015).
Following this publication, mwm-ml-gen was created as a more 'generic' software that can accept a variety of user data and experimental setups. This software is capable of performing the analysis procedures of mwm-ml and contains almost all the functionalities of mwm-ml and much more.
- Accepts exported custom CSV or XLXS or TXT files from Noldus Ethovision software and custom experimental setups.
- Has an improved and easy to use graphical user interface for trajectory analysis, labelling and classification.
- Much faster in data processing and analysis.
This wiki is focused only on mwm-ml-gen. Each major version (excluding version 1 has its own section).
Latest software version: 3.1.0
Introduction
How to Use
- Getting started
- Data preparation
- Starting a new project
- The Segmentation process
- The Labelling process
- The Classification process
- Results
- Walkthrough
- Extras
Appendix
Version History
How to Use (version 3)
- Getting started
- Data preparation
- Starting a new project
- The Segmentation process
- The Labelling process
- The Classification process
- Results
- Extras
- List of Labels
- Flowcharts
- The Project Folder
How to Use (version 1 and 2)