An automated homecage system for multiwhisker detection and discrimination learning in mice

Author:

Bernhard Sarah M.,Lee Jiseok,Zhu Mo,Hsu Alex,Erskine Andrew,Hires Samuel A.,Barth Alison L.ORCID

Abstract

Automated, homecage behavioral training for rodents has many advantages: it is low stress, requires little interaction with the experimenter, and can be easily manipulated to adapt to different experimental conditions. We have developed an inexpensive, Arduino-based, homecage training apparatus for sensory association training in freely-moving mice using multiwhisker air current stimulation coupled to a water reward. Animals learn this task readily, within 1–2 days of training, and performance progressively improves with training. We examined the parameters that regulate task acquisition using different stimulus intensities, directions, and reward valence. Learning was assessed by comparing anticipatory licking for the stimulus compared to the no-stimulus (blank) trials. At high stimulus intensities (>9 psi), animals showed markedly less participation in the task. Conversely, very weak air current intensities (1–2 psi) were not sufficient to generate rapid learning behavior. At intermediate stimulus intensities (5–6 psi), a majority of mice learned that the multiwhisker stimulus predicted the water reward after 24–48 hrs of training. Both exposure to isoflurane and lack of whiskers decreased animals’ ability to learn the task. Following training at an intermediate stimulus intensity, mice were able to transfer learning behavior when exposed to a lower stimulus intensity, an indicator of perceptual learning. Mice learned to discriminate between two directions of stimulation rapidly and accurately, even when the angular distance between the stimuli was <15 degrees. Switching the reward to a more desirable reward, aspartame, had little effect on learning trajectory. Our results show that a tactile association task in an automated homecage environment can be monitored by anticipatory licking to reveal rapid and progressive behavioral change. These Arduino-based, automated mouse cages enable high-throughput training that facilitate analysis of large numbers of genetically modified mice with targeted manipulations of neural activity.

Funder

National Institutes of Health

Evelyn F. McKnight Brain Research Foundation

Carnegie Mellon University

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference63 articles.

1. Neural coding during active somatosensation revealed using illusory touch;DH O’Connor;Nature Neuroscience,2013

2. Reorganization of cortical population activity imaged throughout long-term sensory deprivation;DJ Margolis;Nature Neuroscience,2012

3. Time course of experience-dependent synaptic potentiation and depression in barrel cortex of adolescent rats;S Glazewski;Journal of Neurophysiology,1996

4. Pathway-specific trafficking of native AMPARs by in vivo experience;RL Clem;Neuron,2006

5. Structure of a single whisker representation in layer 2 of mouse somatosensory cortex;KB Clancy;Journal of Neuroscience,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3