Example data of different behaviors for "Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding"

artur schneider c664369162 gin commit from deeplearning 2 years ago
Rodent behavior c664369162 gin commit from deeplearning 2 years ago
LICENSE f27c95622e Initial commit 2 years ago
README.md 7b267bff7a 'README.md' ändern 2 years ago

README.md

Conserved_structures_cortex

This repository contains example data for the paper “Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding” (Melbaum et al. 2022).

We used the freely available tool MuViLab for the behavioral labeling of the videos from 48 recording sessions with six different rats, conducted in June-August 2017. Two human annotators, who were blinded to the neural data, manually labeled the recordings in 500-ms snippets. The criteria for the six behavioral classes were as follows: Step---the rat moved at least one paw but did not drink or rear at the same time; turn---the rat moved its head; drink---the rat drank from the spout or collected water drops from the mesh with its mouth; groom---the rat performed typical grooming movements; rear---the rat stood on its hind paws; rest---the rat showed no obvious movements.

Here, we show multiple examples from each behavioral class concatenated in one single video for each class.