FED3 is an open-source battery-powered device for home-cage training of mice in operant tasks. FED3 can be 3D printed and the control code is open-source and can be modified. The code is written in the Arduino language and is run on an Adafruit Feather M0 Adalogger microcontroller inside of FED3.
The advent of genetically encoded calcium indicators, along with surgical preparations such as thinned skulls or refractive index matched skulls, have enabled mesoscale cortical activity imaging in head-fixed mice. Such imaging studies have revealed complex patterns of coordinated activity across the cortex during spontaneous behaviors, goal-directed behavior, locomotion, motor learning,and perceptual decision making.
When performing canine operant conditioning studies, the delivery of the reward can be a limiting factor of the study. While there are a few commercially available options for automatically delivering rewards, they generally require manual input, such as using a remote control, in accordance with the experiment script.
Experiments aiming to understand sensory-motor systems, cognition and behavior necessitate training animals to perform complex tasks. Traditional training protocols require lab personnel to move the animals between home cages and training chambers, to start and end training sessions, and in some cases, to hand-control each training trial.
lab.js makes online experimentation easy. It’s a free, open, online study builder and data collection framework for the behavioral, neuro- and cognitive sciences. Studies built with lab.js run in the laboratory as well as online, across a wide variety of data collection platforms, and provide excellent performance for all modes of stimulus presentation.
Vision is one of the primary senses, and tracking eye gaze can offer insight into the cues that affect decision-making behavior. Thus, to study decision-making and other cognitive processes, it is fundamentally necessary to track eye position accurately.
Single cell electrophysiology remains one of the most widely used approaches of systems neuroscience. Decisions made by the experimenter during electrophysiology recording largely determine recording quality, duration of the project and value of the collected data.
pirecorder is a Python package, built on the picamera and OpenCV libraries, that provides a flexible solution for the collection of consistent image and video data with the raspberry pi. It was developed to overcome the need for a complete solution to help researchers, especially those with limited coding skills, to easily set up and configure their raspberry pi to run large numbers of controlled and automated image and video recordings using optimal settings.
Who says you can’t reinvent the wheel?! This running wheel for head-fixed mice allows 3D reconstruction of body kinematics using a single camera and DeepLabCut (or similar) software. A lightweight, transparent polycarbonate floor and a mirror mounted on the inside allow two views to be captured simultaneously.