Our Resources
MoSeq
MoSeq is a technique that uses 3D machine vision and unsupervised machine learning to automatically discover the underlying modular structure of mouse behavior in the lab. Please email dattalab@hms.harvard.edu with your full contact information and a valid GitHub account name, and we can help you get started.
Two-Armed Bandit Task (2ABT)
The two armed bandit task (2ABT) is an open source behavioral box used to train mice on a task that requires continued updating of action/outcome relationships. Furthermore, the 2ABT permits investigation of a motivated behavior that requires flexible relationships between sensory stimuli and motor action. Please visit our Github page or OpenBehavior for details. These submissions include the design of the behavioral chamber, bill of materials (BOM) for chamber construction, design and BOM for a prefabricated printed circuit board (PCB), and Matlab and Ardunio code for running the box and collecting data.
Fluorescence Lifetime Photometry (FLiP)
Flourescence Lifetime Photometry (FLiP) is a method to measure flourescence lifetime in vivo through a fiber optic. Please review our protocol paper for information on how to build a FLiP system and considerations on how to achieve accurate measurements using this technique.
Our GitHub repository
Coming Soon
Generalized Linear Model (GLM) for analysis of photometry signals