SimBA (Simple Behavioral Analysis): a pipeline and GUI for developing supervised behavioral classifiers from any major pose-estimation tool
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Updated
Oct 13, 2026 - Python
SimBA (Simple Behavioral Analysis): a pipeline and GUI for developing supervised behavioral classifiers from any major pose-estimation tool
Distributed behavioral experiments
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an ml model to classify behavior in East African cichlid fish
GUI tool for computing 50% withdrawal thresholds from von Frey up-down data with publication-ready figures and statistical analysis
deepLabCut-based computer vision pipeline for mouse eye tracking and optokinetic response (OKR) analysis.
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Desktop app converting idtracker.ai output folders into analysis-ready behavioural datasets — 33 cited metrics; request more via the issue form
Review of mathematical neuroscience topics for the UMN Neurosci prelim
Streamlit tool to explore individual mouse behavior—occupancy, zone/pen transitions, circadian activity, food use, and cross-pen roaming—from RFID colony data.
Unity package consuming OpenApparatus.Core to generate procedural navigation environments in Unity scenes.
Repository containing computational neuroscience notebooks for a project investigating whether biased stimulus exposure in one session influences mouse choices in the next, using International Brain Laboratory data. Developed during Neuromatch Academy 2026.
Desktop app that turns OptoDrum visual acuity / contrast sensitivity staircase exports into one clean, analysis-ready CSV report (one row per animal).
Software MATLAB R2011a para control y registro de la caja conductual CMC/Valentia.
🔮 Cognitive Performance Engineering • Behavioral RPG • Progressive Web Architecture (Next.js 14, Tailwind Liquid Glass, Spring Boot 3, Java 21, Redis).
Object-oriented, extensible behavioral testing framework for Odor Discrimination and multi-modal experiments. Features real-time Teensy/MATLAB integration and automated data logging.
A no-code Windows GUI application for recording timestamped MP4 videos from Basler USB3 cameras using the pylon SDK. Built for behavioral neuroscience recordings (such as LUPE (PMID: 41501467)), with live preview, adjustable camera settings, and automatic JSON metadata output.
Barnes maze video analysis in the browser: classical CV tracking, hole investigations and escape entries, latency/error/path/strategy metrics, hand corrections that propagate, and CSV/XLSX export stamped with every parameter and the tool version. No install, no GPU, no upload.
Engine-agnostic .NET library for procedurally generating reproducible navigation environments — multi-room floor plans, mazes, and behavioral-research apparatuses.
A Python toolkit for standardizing the analysis of IntelliCage experiments
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