Visuomotor strategies for object approach and aversion in Drosophila melanogaster

Author:

Mongeau Jean-Michel12ORCID,Cheng Karen Y.1,Aptekar Jacob1,Frye Mark A.1ORCID

Affiliation:

1. Department of Integrative Biology and Physiology, University of California - Los Angeles, Los Angeles, CA 90095-7239, USA

2. Present address: Department of Mechanical Engineering, Pennsylvania State University, University Park, PA 16802, USA

Abstract

Animals classify stimuli to generate appropriate motor actions. In flight, Drosophila melanogaster classify equidistant large and small objects with categorically different behaviors: a tall object evokes approach whereas a small object elicits avoidance. We studied visuomotor behavior in rigidly- and magnetically-tethered D. melanogaster to reveal strategies that generate aversion to a small object. We discovered that small object aversion in tethered flight is enabled by aversive saccades and smooth movement, which varies with the stimulus type. Aversive saccades to a short bar had different dynamics than approach saccades to a tall bar and the distribution of pre-saccade error angles were more stochastic for a short bar. Taken together, we show that aversive responses in Drosophila are driven in part by processes that elicit signed saccades with distinct dynamics and trigger mechanisms. Our work generates new hypotheses to study brain circuits that underlie classification of objects in D. melanogaster.

Funder

National Institutes of Health

Publisher

The Company of Biologists

Subject

Insect Science,Molecular Biology,Animal Science and Zoology,Aquatic Science,Physiology,Ecology, Evolution, Behavior and Systematics

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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