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https://github.com/BrettHewitt/ART

Software tool to automatically track rodent position and movement.Used to track head movements, body movements and also aspects of body size. It is able to identify certain behaviours from video footage too, such as rotations, moving forwards, interacting with objects and staying still.

Proper citation: Automated Rodent Tracker (RRID:SCR_021510) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/neurotic/

Project about synchronizing video and neural signals. Provides software Python toolbox for interactive characterization in neuroscience.Software tool used to review and annotate signal data synchronized with video, performs simple initial analyses including signal filtering and spike detection, supports variety of file formats.

Proper citation: neurotic project (RRID:SCR_021403) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/deepfly3d/

Project related to deep learning based pose estimator for studying how neural circuits control limbed behaviors in tethered Drosophila. Includes Deep Fly image annotation tool for pose estimation and to permit further correction of 2D pose estimates, which are automatically converted to 3D pose.

Proper citation: DeepFly3D project (RRID:SCR_021400) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/rodentjoystick/

Project features single board real time input/output system including touch sensing joysticks to quantify mouse forelimb trajectories with micron millisecond spatiotemporal resolution, which resolves mouse forelimb kinematics and further allows extraction of primitives. Joystick increases spatial precision, and reduces displacement force. Joystick is then integrated into automated home cage system to train mice in center out reach task.

Proper citation: RodentJoystick (RRID:SCR_023482) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/spikeforest/

Project related to neural data analysis. Provides open-source and reproducible software suite that benchmarks performance of automated spike sorting algorithms across extensive, curated database of ground truth electrophysiological recordings, displaying results interactively on continuously updating website.

Proper citation: Spike Forest project (RRID:SCR_021472) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/pypreclin/

Project related to preprocessing of images. Provieds software Python tool to processes raw macaque fMRI images using algorithms embedded in automatic pipeline.

Proper citation: Pypreclin project (RRID:SCR_021473) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/mne-scan/

Project related to real time acquisition and processing of electrophysiological data.Provides software tool for acquisition and processing of electrophysiological data.

Proper citation: MNE Scan project (RRID:SCR_021470) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/3dtracker/, http://www.3dtracker.org/

Project related to markerless computerized behavioral analysis for laboratory animals.Provides open source 3D video based behavioral analysis system for neuroscience. System includes open source software tool for 3D-video based markerless computerized behavioral analysis.

Proper citation: 3DTracker project (RRID:SCR_021440) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/lincom/

Project related to animal behavior in complex mazes.Provides software MATLAB package for linearization of place fields in complex mazes.

Proper citation: LinCoM project (RRID:SCR_021438) Copy   

•   Source: SciCrunch Registry

https://github.com/PeyracheLab/pynapple

Software object oriented, lightweight and standalone Python toolbox for neural data analysis. Its core features five versatile timeseries objects from Pandas library, allowing it the versatility to be used with most raw neuroscience data types and produce some common analysis forms.

Proper citation: Pynapple (RRID:SCR_023312) Copy   

•   Source: SciCrunch Registry

https://github.com/aarac/DeepBehavior

Software toolbox that automates taking high speed quality video to track behavior to analyze and track behavior in rodents and humans.

Proper citation: DeepBehavior (RRID:SCR_021414) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/low-cost-eye-tracking/

Project related to eye tracking system for human research.System includes open source software for accurate eye tracking. Can identify shapes such as circles, lines, and triangles.You can rotate and mirror images and also use variety of filters.Capable of processing video in real-time for optical flow. App for viewing multiple video streams from USB cameras.

Proper citation: Low Cost Open Source Eye Tracking project (RRID:SCR_021415) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/locomouse/

Project related to study movement coordination in free walking mice. Provides noninvasive system consisting of cameras and machine learning algorithms that allow for three dimensional detection and tracking of mouse paws, tail, and nose.

Proper citation: Locomouse project (RRID:SCR_021390) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/deepposekit/

Project related to pose estimation and tracking.Includes software toolkit for 2D pose estimation of user defined keypoints using deep learning.Method for pose estimation developed by behavioral scientists at the Max Planck Institute of Animal Behavior.

Proper citation: DeepPoseKit project (RRID:SCR_021395) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/ethoscopes/

Project related to analysis of behavior in Drosophila.Provides system capable of real time video tracking. System includes raspberry pi and R package for data analysis. Enables high throughput analysis of behavior in Drosophila and other animals.

Proper citation: EthoScopes project (RRID:SCR_021426) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/picamera/

Project related to tracking animals in large spaces. Picamera system allows for tracking of animals in large behavioral arenas.Open source scalable multi camera tracking system that can be used to track behavior in combination with wireless recording systems.Design is comprised of 8 overhead Raspberry Pi cameras, capable of recording at high frame rate in large field of view, recording video independently in individual Raspberry Pi microcomputers and processed using Picamera Python library.

Proper citation: Picamera project (RRID:SCR_021423) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/live-mouse-tracker/

Project related to monitoring social interactions of mice. Provides real time behavioral analysis system for groups of mice.System includes random forest machine learning process, RFID sensors and infrared depth RGB-D camera.System includes software tool for Live Mouse Tracker analysis.

Proper citation: Live Mouse Tracker project (RRID:SCR_021421) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/d-track/

Project related to tracking animal behavior. Provided system includes two cameras and software package to track aquatic animals within captivity.Semi automatic 3D video tracking technique to analyse movements and routines of aquatic animals with application to captive dolphins.

Proper citation: D-Track project (RRID:SCR_021389) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/openmonkeystudio/

Project for tracking interactions among freely moving monkeys.System includes integrated hardware and software for pose tracking in freely moving rhesus macaques.

Proper citation: OpenMonkeyStudio project (RRID:SCR_021409) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/rat/

Project related to rodent tracking and task control.Provides closed loop system for machine vision rodent tracking and task control created by scientist from Washington University. System to track and report mouse activity while they are contained in simple arena. System uses OpenMV M7 microcontroller to acquire images of arena and process them in real-time to report mouse centroid data to text file. Wireless position tracker for automatically tracking mice in high contrast arenas.

Proper citation: Rodent Arena Tracker project (RRID:SCR_021408) Copy   

•   Source: SciCrunch Registry