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https://edspace.american.edu/openbehavior/project/b-soid-unsupervised-behavior-analysis/
Project related to unsupervised behavior analysis.Carnegie Mellon University has shared B-SOiD, open source unsupervised algorithm for discovery of spontaneous behaviors. Includes software pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
Proper citation: Behavioral Segmentation of Open-field in DeepLabCut project (RRID:SCR_021410) Copy
https://edspace.american.edu/openbehavior/project/simba/
University of Washington project SimBA for analysis of complex social behaviors.Used for automated behavioral scoring. Includes open source software toolkit for computer classification of complex social behaviors in experimental animals. Uses data from popular open source tracking tools in combination with small amount of behavioral annotations to create supervised machine learning classifiers that can then rapidly and accurately score behaviors across different background settings and lighting conditions.
Proper citation: Simple Behavior Analysis project (RRID:SCR_021411) Copy
https://edspace.american.edu/openbehavior/project/eztrack/
Project related to behavior analysis.Mt.Sinai scientist developed open source video analysis pipeline for investigation of animal behavior.Used to track location, motion, and freezing of animal.
Proper citation: ezTrack project (RRID:SCR_021418) Copy
https://edspace.american.edu/openbehavior/project/freemovr/
Portal related to virtual reality for freely moving animals.Provides virtual reality system set up for unrestrained animals.System developed by University of Frieburg scientists. This Virtual Reality system can be used with number of different species including mice, zebrafish, and Drosophila.
Proper citation: FreemoVR project (RRID:SCR_021551) Copy
https://edspace.american.edu/openbehavior/project/deeplabcut/
Project for markerless pose estimation of user defined body parts with deep learning.
Proper citation: DeepLabCut Project (RRID:SCR_021398) Copy
https://edspace.american.edu/openbehavior/project/pyper/
Project related to motion tracking of specimen in open field. Provides software tool for motion tracking.Used to track path of object of interest in live feed from camera or recorded video. Used to track rodents in open field maze as well as retina of mice.New version of Pyper allows to customise image processing to track different kind of objects.
Proper citation: Pyper project (RRID:SCR_021431) Copy
https://edspace.american.edu/openbehavior/project/facemap/
Project related to videographic processing of head fixed rodent behaviors. Provides software toolbox for unsupervised video analysis of rodent behavior.
Proper citation: FaceMap project (RRID:SCR_021428) Copy
https://edspace.american.edu/openbehavior/project/zebratrack/
Project related to distraction free behavioral acquisition. Provides imaging setup for distraction free behavioral acquisition with automated tracking using open source ImageJ software and workflow for extraction of behavioral endpoints of zebrafish. Used for online tracking of larval zebrafish at high framerates.Provides user interface to run experiments as well as flexible design to allow definition of arbitrary open- and closed- loop experiments.
Proper citation: ZebraTrack project (RRID:SCR_021429) Copy
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
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
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
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
https://github.com/munoztd0/Mouthpiecegusto
3D printed pacifier shaped mouthpiece for fMRI compatible gustometers to deliver up to eight liquids during fMRI task. Can be utilized to study flavor, taste reactivity, reward or punishment with food, conditioning, and neurodegenerative conditions such as Alzheimers and Parkinsons, since taste and smell senses diminish early into disease acquisition.
Proper citation: 3DP Gustometer (RRID:SCR_025010) Copy
https://github.com/Imbrosci/synaptic-vesicles-detection
Software tool as Python based synaptic vesicle classifier algorithm to identify neurotransmitter vesicles in electron microscopy images using Pytorch.
Proper citation: Synaptic Vesicles Detection (RRID:SCR_024910) Copy
https://github.com/gchelini87/SEB3R
Software tool to automate and standardize ethologically driven observation of freely moving mice. Identifies different postures of mice and associates them with emotions, offering detailed analysis of their movements frame by frame. Used for tracking mouse body language and studying emotional behaviors.
Proper citation: SEB3R (RRID:SCR_025161) Copy
https://github.com/LurLab-UCI/HERBs
Open source hardware and software solution for flexible implementation of complex behaviors in head-fixed mice. Low cost and requires little to no programming experience. Allows neural activity to be seen during testing, which will show relations between neuronal activity and behavior during tasks such as alternative forced choice, GoNoGo, and sensory stimulus presentation.
Proper citation: HERBs (RRID:SCR_025381) Copy
https://github.com/Aharoni-Lab/Ephys-Miniscope
Miniaturized calcium imaging microscope with integrated dense electrode technology for synchronous acquisition of neural activity across distant regions of the brain. Device based off open-sourced UCLA Miniscope to synchronously measure single cell activity at or near spike-time resolution across distant brain regions in freely behaving mice. Used to perform calcium imaging, with dense electrode electrophysiological recording, allowing simultaneous recordings from two remote brain regions in freely behaving mouse.
Proper citation: E-Scope (RRID:SCR_025396) Copy
https://github.com/mcmelo22/Licktech/tree/main
Lickometer system based on open-source hardware platform with user-friendly interface software, capable of simultaneously receiving data from eight automated cages with two drinking bottles each. Device to acquire high-quality and detailed data. Adaptable to new types of sensors or other neuroscience tools capable of measuring brain activity simultaneously to the behavior.
Proper citation: Lickometer Box (RRID:SCR_025248) Copy
https://github.com/jfrie/FARESHARE
Open source device for fluid tracking in socially housed rats. Device uses RFID and custom hardware to individually measure and record each rat's fluid consumption and licking microstructure.
Proper citation: FARESHARE (RRID:SCR_025330) Copy
https://github.com/BerezhnoyD/Reaching_Task_VAI/
Open source hardware-software platform for analyzing reaching movement kinematics in mice. Used for studying fine motor skills in mice performing reach-to-grasp task. Behavioral platform uses readily available and 3D-printed components and was designed to be affordable and universally reproducible. Provides schematics, 3D models, code, and assembly instructions.
Proper citation: ReachOut (RRID:SCR_025502) Copy
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