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.

Companion code for Fayat et al., 2021, published in Sensors.

A deep learning tool to extract mouse vocalizations from audio clips using CNN-BiLSTM hybrid model

Official implementation of EXPLORE: A novel deep learning-based analysis method for exploration learning in object recognition tests

Scripts to process preclinical obsessive compulsive disorder data

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.

Code like a Guinea Pig!

Official implementation of EXPLORE: A novel deep learning-based analysis method for exploration learning in object recognition tests

Real-Time Single-Unit Brain-Machine Interface

python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments

training analysis for behavioral experiments

code for characterizing and comparing visual responses in rat cortex

🐹 Building a tree of some small fluffy animals

python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments

A Litter Guard tray to keep rat fluff in the cage.

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.