To refer to this page use:
|Abstract:||Background: The preparation consisting of a head-fixed mouse on a spherical or cylindrical treadmill offers unique advantages in a variety of experimental contexts. Head fixation provides the mechanical stability necessary for optical and electrophysiological recordings and stimulation. Additionally, it can be combined with virtual environments such as T-mazes, enabling these types of recording during diverse behaviors. New method: In this paper we present a low-cost, easy-to-build acquisition system, along with scalable computational methods to quantitatively measure behavior (locomotion and paws, whiskers, and tail motion patterns) in head-fixed mice locomoting on cylindrical or spherical treadmills. Existing methods: Several custom supervised and unsupervised methods have been developed for measuring behavior in mice. However, to date there is no low-cost, turn-key, general-purpose, and scalable system for acquiring and quantifying behavior in mice. Results: We benchmark our algorithms against ground truth data generated either by manual labeling or by simplermethods offeature extraction.Wedemonstrate that our algorithms achieve goodperformance, both in supervised and unsupervised settings. Conclusions: We present a low-cost suite of tools for behavioral quantification, which serve as valuable complements to recording and stimulation technologies being developed for the head-fixed mouse preparation.|
|Citation:||Giovannucci, A, Pnevmatikakis, EA, Deverett, B, Pereira, T, Fondriest, J, Brady, MJ, Wang, SS-H, Abbas, W, Parés, P, Masip, D. Automated gesture tracking in head-fixed mice. J Neurosci Methods, 300 (184 - 195). doi:10.1016/j.jneumeth.2017.07.014|
|Pages:||184 - 195|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||Journal of Neuroscience Methods|
|Version:||Final published version. This is an open access article.|
Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.