This protocol collection explains how to build a low-cost, lightweight system to implant 1 Neuropixels 1.0 probe or 2 Neuropixels 2.0 probes into mice, record during freely moving behavior, then recover the probes for future use.
Video capture is increasingly necessary for neuroscience research where neural and behavioral data are synchronized to reveal correlative and causal relationships. This relies on a recording system that can capture quality videos without significant alterations to preexisting experimental conditions (e.
SqueakR is an open-source R package, available on CRAN, which streamlines bioacoustics research through automated data processing and visualizations for rodent vocalizations exported from DeepSqueak.
These functions are harnessed through the ‘SqueakR’ Shiny Dashboard, available as a function within the package, which can be used to visualize experimental results and analyses, as well as conduct statistical significance test between call features across groups.
While accurate behavioral state classification is critical for many research applications, it is often done manually, which can be both tedious and inaccurate. Here we present a novel artificial neural network that uses electrophysiological features to automatically classify behavioral state in rats with high accuracy, sensitivity, and specificity.
ArControl is a Arduino based digital signals control system. A special application for ArControl is to establish a animal behavioral platform (as Skinner box), which control devices to deliver stimulation, monitor behavioral response and record data.
Climbing fiber inputs to Purkinje cells provide instructive signals critical for cerebellum-dependent associative learning. Studying these signals in head-fixed mice facilitates the use of imaging, electrophysiological, and optogenetic methods. Here, a low cost behavioral platform (~$1000) was developed that allows tracking of associative learning in head-fixed mice that locomote freely on a running wheel.
This simple optogenetics stimulation driver is based on the Arduino Uno, and produces millisecond-accurate timing to control a single laser or LED. The dials allow easy control of pulse on-time and frequency, with a simple switch to turn the flashing on or off.
Some forms of canine cognition research require a dispenser that can accurately dispense precise quantities of treats. When using off-the-shelf or retrofitted dispensers, there is no guarantee that a precise number of treats will be dispensed.
TopMouseTacker is a Python library based on OpenCV made for object tracking in videos. It uses a color camera and depth camera to infer the position of objects in the arena.
The COGAIN Association aims to promote research and development in the field of gaze-based interaction in computer-aided communication and control. Computer applications can be controlled by gazing at the computer screen.