Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.
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Updated
Nov 4, 2024 - Python
Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.
Scripts to process preclinical obsessive compulsive disorder data
training analysis for behavioral experiments
python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments
Companion code for Fayat et al., 2021, published in Sensors.
🐹 Building a tree of some small fluffy animals
Official implementation of EXPLORE: A novel deep learning-based analysis method for exploration learning in object recognition tests
A versatile Unity framework for studying rodent behavior on a 2D ball treadmill, with precise control, hardware integration, and real-time data collection across various tasks.
python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments
code for characterizing and comparing visual responses in rat cortex
A Litter Guard tray to keep rat fluff in the cage.
A deep learning tool to extract mouse vocalizations from audio clips using CNN-BiLSTM hybrid model
Code like a Guinea Pig!
Official implementation of EXPLORE: A novel deep learning-based analysis method for exploration learning in object recognition tests
Open GPIAS is an open source measurement software that allows to stimulate rodents with startle stimuli and record the responses. Previous to the startle stimuli different pre-stimuli can be presented to alter the response of the animal. Open GPIAS supports hearing threshold estimation protocols and tinitus screening protocols.
Real-Time Single-Unit Brain-Machine Interface
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