当前位置:科学网首页 > 小柯机器人 >详情
虚拟现实在斑马鱼神经活动分析中的应用
作者:小柯机器人 发布时间:2020/3/9 12:10:58

瑞士弗里德里希•米歇尔研究所Rainer W. Friedrich和Kuo-Hua Huang研究组合作取得一项新突破。他们利用虚拟现实系统,分析了成年斑马鱼的神经活动和行为。这一研究成果于2020年3月2日发表在《自然-方法学》杂志上。

研究人员针对受到光学限制的成年斑马鱼头部开发了高分辨率的虚拟现实系统,该虚拟斑马鱼表现出幼鱼未表现出的认知行为。研究人员通过多光子钙成像以无创方式测量了整个斑马鱼背脑的活动。虚拟现实中的鱼表现出规律的游泳方式,并被特定物种的动画所吸引。对视觉运动反馈的操纵揭示了神经元选择性响应运动输出的预期和实际视觉结果之间的不匹配。此类错误信号突出在多个脑区,与预测处理模型一致。因此,针对成年斑马鱼的虚拟现实系统提供了分析较复杂大脑功能神经元处理机制的基础,这些功能包括决策、联想学习和社交互动。

据悉,虚拟现实是可用于分析和操纵动物及其环境之间相互作用的强大工具,也可以测量行为过程中的神经元活动。但是,在许多物种中,对大脑和/或行为库的探索受到光学的限制。

附:英文原文

Title: A virtual reality system to analyze neural activity and behavior in adult zebrafish

Author: Kuo-Hua Huang, Peter Rupprecht, Thomas Frank, Koichi Kawakami, Tewis Bouwmeester, Rainer W. Friedrich

Issue&Volume: 2020-03-02

Abstract: Virtual realities are powerful tools to analyze and manipulate interactions between animals and their environment and to enable measurements of neuronal activity during behavior. In many species, however, optical access to the brain and/or the behavioral repertoire are limited. We developed a high-resolution virtual reality for head-restrained adult zebrafish, which exhibit cognitive behaviors not shown by larvae. We noninvasively measured activity throughout the dorsal telencephalon by multiphoton calcium imaging. Fish in the virtual reality showed regular swimming patterns and were attracted to animations of conspecifics. Manipulations of visuo-motor feedback revealed neurons that responded selectively to the mismatch between the expected and the actual visual consequences of motor output. Such error signals were prominent in multiple telencephalic areas, consistent with models of predictive processing. A virtual reality system for adult zebrafish therefore provides opportunities to analyze neuronal processing mechanisms underlying higher brain functions including decision making, associative learning, and social interactions.

DOI: 10.1038/s41592-020-0759-2

Source: https://www.nature.com/articles/s41592-020-0759-2

期刊信息

Nature Methods:《自然—方法学》,创刊于2004年。隶属于施普林格·自然出版集团,最新IF:28.467
官方网址:https://www.nature.com/nmeth/
投稿链接:https://mts-nmeth.nature.com/cgi-bin/main.plex