Behaviour

World Wide Series Seminar Cells and microorganisms are motile, yet the stationary nature of conventional microscopes impedes comprehensive, long-term behavioral and biomechanical analysis. The limitations are twofold: a narrow focus permits high-resolution imaging but sacrifices the broader context of organism behavior, while a wider focus compromises microscopic detail.

BORIS is an easy-to-use event logging software for video/audio coding and live observations. Project Author(s) Olivier Friard; Marco Gamba Project Links www.boris.unito.it This post was automatically generated by anonymous

Zapit is a general purpose package for coordinating galvo-based optostimulation in head-fixed mice. It is a software and hardware solution with an emphasis on flexibility and ease of use. The software will run on a variety of hardware designs and experimental paradigms.

Movement is a a Python toolbox for analysing body movements across space and time, to aid the study of animal behaviour in neuroscience. Pose estimation tools, such as DeepLabCut and SLEAP are now commonplace when processing video data of animal behaviour.

Bpod is an open-source platform for real-time behavioral measurement in multi-trial experiments. With control software in MATLAB and device firmware in Arduino, it is designed to be customized with the software talent in a typical academic Neuroscience lab.

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.