虚拟现实在实验动物行为分析中的应用进展

doi:10.12300/j.issn.1674-5817.2022.078

实验动物与比较医学 ›› 2023, Vol. 43 ›› Issue (1): 73-78.DOI: 10.12300/j.issn.1674-5817.2022.078

虚拟现实在实验动物行为分析中的应用进展

张超超()(), 田雪松()()

上海中医药大学科技实验中心, 上海 201203

收稿日期:2022-06-08 修回日期:2022-07-16 出版日期:2023-02-25 发布日期:2023-02-25
通讯作者: 田雪松（1973—），男，博士，研究员，硕士生导师，主要从事中医药防治脑、视网膜疾病研究。E-mail： xuesong.tian@shutcm.edu.cn。ORCID：0000-0001-6162-2856
作者简介:张超超（1981—），男，硕士，高级实验师，主要从事实验动物研究。E-mail： stonezcc@163.com。ORCID：0000-0001-6290-1240
基金资助:
上海中医药大学课程建设项目“基于虚拟现实技术探讨医学实验动物学仿真教学平台建设”(2022SHUTCMKCJS103)

Application of Virtual Reality in the Behavior Analysis of Laboratory Animal

Chaochao ZHANG()(), Xuesong TIAN()()

Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Received:2022-06-08 Revised:2022-07-16 Published:2023-02-25 Online:2023-02-25
Contact: TIAN Xuesong (ORCID: 0000-0001-6162-2856), E-mail: xuesong.tian@shutcm.edu.cn

摘要/Abstract

摘要：

虚拟现实（virtual reality，VR）是一种通过计算机进行场景模拟的新兴技术，近年来已经成为动物行为分析的可靠工具。动物行为对动物生存至关重要。动物行为分析为遗传学、生态学、神经科学、经济学以及机器人科学等领域的科技进步提供了有用信息。动物行为分析可分为刺激独立于动物对刺激的反应的开环研究，以及刺激根据动物的实时运动进行调整的闭环研究。本文首先梳理了动物行为分析的起源、概念和应用领域，回顾了传统技术条件下以视觉刺激为代表的动物行为开环研究的不足；然后以视觉、嗅觉、触觉、听觉刺激为例，分析了虚拟现实技术条件下的动物行为分析系统能够将精确的实验控制与复杂的实验动物行为相结合的可行性，完成了真实物理世界的实验方法无法实现的闭环研究；最后对虚拟现实发展为高级模拟及虚拟动物的前景进行了展望。

关键词: 虚拟现实, 开环系统, 闭环系统, 动物行为, 虚拟动物

Abstract:

Virtual reality (VR) is an emerging technology for computer scene simulation that has become a reliable tool for animal behavior analysis in recent years. The behavior of an animal is crucial for its survival. Animal behavior analysis provides useful information for scientific progress in genetics, ecology, neuroscience, economics, and robotics. Animal behavior analysis can be divided into open-loop studies, in which the stimulus is independent of the animal's response to the stimulus, and closed-loop studies, in which the stimulus is adjusted according to the real-time movement of the animal. In this paper, we have discussed the origin, concept, and applications of animal behavior analysis, and reviewed the shortcomings of open-loop research on animal behavior represented by visual stimulation using traditional technology. Then taking visual, olfactory, tactile, and auditory stimulation as examples, we analyzed that the animal behavior analysis system using VR technology could combine precise experimental control with the complex behavior of laboratory animals, and complete the closed-loop research that could not be achieved using the experimental methods of the real physical world. The prospect of VR in developing superior simulations and virtual animals in the future was also discussed.

Key words: Virtual reality, Open-loop control system, Closed-loop control system, Animal behavior, Virtual animals

中图分类号:

Q95-33

张超超,田雪松. 虚拟现实在实验动物行为分析中的应用进展[J]. 实验动物与比较医学, 2023, 43(1): 73-78. DOI: 10.12300/j.issn.1674-5817.2022.078.

Chaochao ZHANG,Xuesong TIAN. Application of Virtual Reality in the Behavior Analysis of Laboratory Animal[J]. Laboratory Animal and Comparative Medicine, 2023, 43(1): 73-78. DOI: 10.12300/j.issn.1674-5817.2022.078.

参考文献 29

1	ANN K. The what, how, and why of naturalistic behavior[J]. Curr Opin Neurobiol, 2022, 74:102549. DOI:10.1016/j.conb.2022.102549 .
2	NAIK H, BASTIEN R, NAVAB N, et al. Animals in virtual environments[J]. IEEE Trans Vis Comput Graph, 2020, 26(5):2073-2083. DOI:10.1109/TVCG.2020.2973063 .
3	DENAYER T, STÖHR T, VAN ROY M. Animal models in translational medicine: validation and prediction[J]. New Horizons Transl Med, 2014, 2(1):5-11. DOI:10.1016/j.nhtm.2014.08.001 .
4	DOMBECK D A, REISER M B. Real neuroscience in virtual worlds[J]. Curr Opin Neurobiol, 2012, 22(1):3-10. DOI:10.1016/j.conb.2011.10.015 .
5	RIVA G, MALIGHETTI C, SERINO S. Virtual reality in the treatment of eating disorders[J]. Clin Psychol Psychother, 2021, 28(3):477-488. DOI:10.1002/cpp.2622 .
6	SAWYER A, GLEESON A. Animal models and virtual reality[J]. BioTechniques, 2018, 65(2):55-60. DOI:10.2144/btn-2018-0104 .
7	POPOV V V, KUDRYAVTSEVA E V, KUMAR KATIYAR N, et al. Industry 4.0 and digitalisation in healthcare[J]. Materials (Basel), 2022, 15(6):2140. DOI:10.3390/ma15062140 .
8	TARR M J, WARREN W H. Virtual reality in behavioral neuroscience and beyond[J]. Nat Neurosci, 2002, 5(11):1089-1092. DOI:10.1038/nn948 .
9	TINBERGEN N, PERDECK A C. On the stimulus situation releasing the begging response in the newly hatched herring gull chick (Larus argentatus argentatus pont.)[J]. Behaviour, 1951, 3(1):1-39. DOI:10.1163/156853951x00197 .
10	GYGER M, KARAKASHIAN S J, MARLER P. Avian alarm calling: is there an audience effect? [J]. Animal Behav, 1986, 34(5):1570-1572. DOI:10.1016/S0003-3472(86)80229-9 .
11	D'EATH R B. Can video images imitate real stimuli in animal behaviour experiments? [J]. Biol Rev, 2007, 73(3):267-292. DOI:10.1111/j.1469-185x.1998.tb00031.x .
12	ABDELJALIL J, HAMID M, ABDEL-MOUTTALIB O, et al. The optomotor response: a robust first-line visual screening method for mice[J]. Vis Res, 2005, 45(11):1439-1446. DOI:10.1016/j.visres.2004.12.015 .
13	JENSSEN T A. Female response to filmed displays of Anolis nebulosus (Sauria, Iguanidae)[J]. Animal Behav, 1970, 18:640-647. DOI:10.1016/0003-3472(70)90007-2 .
14	IOANNOU C C, GUTTAL V, COUZIN I D. Predatory fish select for coordinated collective motion in virtual prey[J]. Science, 2012, 337(6099):1212-1215. DOI:10.1126/science.1218919 .
15	THURLEY K, AYAZ A. Virtual reality systems for rodents[J]. Curr Zool, 2016, 63(1):109-119. DOI:10.1093/cz/zow070 .
16	HÖLSCHER C, SCHNEE A, DAHMEN H, et al. Rats are able to navigate in virtual environments[J]. J Exp Biol, 2005, 208(Pt 3):561-569. DOI:10.1242/jeb.01371 .
17	THURLEY K, HENKE J, HERMANN J, et al. Mongolian gerbils learn to navigate in complex virtual spaces[J]. Behav Brain Res, 2014, 266:161-168. DOI:10.1016/j.bbr.2014.03.007 .
18	RADVANSKY B A, DOMBECK D A. An olfactory virtual reality system for mice[J]. Nat Commun, 2018, 9:839. DOI:10.1038/s41467-018-03262-4 .
19	URSULA K, KAY T, KATJA F, et al. Spatial cognition in a virtual reality home-cage extension for freely moving rodents[J]. J Neurophysiol, 2017, 117(4):1736-1748. DOI:10.1152/jn.00630.2016 .
20	PINTO L, KOAY S A, ENGELHARD B, et al. An accumulation-of-evidence task using visual pulses for mice navigating in virtual reality[J]. Front Behav Neurosci, 2018, 12:36. DOI:10.3389/fnbeh.2018.00036 .
21	SOFRONIEW N J, SVOBODA K. Whisking[J]. Curr Biol, 2015, 25(4): R137-R140. DOI:10.1016/j.cub.2015.01.008 .
22	SOFRONIEW N J, VLASOV Y A, HIRES S A, et al. Neural coding in barrel cortex during whisker-guided locomotion[J]. eLife, 2015, 4: e12559. DOI:10.7554/eLife.12559 .
23	GAO S B, WEBB J, MRIDHA Z, et al. Novel virtual reality system for auditory tasks in head-fixed mice[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2020: 2925-2928. DOI:10.1109/EMBC44109.2020.9176536 .
24	CUSHMAN J D, AHARONI D B, WILLERS B, et al. Multisensory control of multimodal behavior: do the legs know what the tongue is doing? [J]. PLoS One, 2013, 8(11): e80465. DOI:10.1371/journal.pone.0080465 .
25	LOPATINA O L, MORGUN A V, GORINA Y V, et al. Current approaches to modeling the virtual reality in rodents for the assessment of brain plasticity and behavior[J]. J Neurosci Methods, 2020, 335:108616. DOI:10.1016/j.jneumeth.2020.108616 .
26	FELDSTEIN I T, ELLIS S R. A simple video-based technique for measuring latency in virtual reality or teleoperation[J]. IEEE Trans Vis Comput Graph, 2021, 27(9):3611-3625. DOI:10.1109/TVCG.2020.2980527 .
27	PASSINI E, BRITTON O J, LU H R, et al. Human In silico drug trials demonstrate higher accuracy than animal models in predicting clinical pro-arrhythmic cardiotoxicity[J]. Front Physiol, 2017, 8:668. DOI:10.3389/fphys.2017.00668 .
28	GUPTA R, SRIVASTAVA D, SAHU M, et al. Artificial intelligence to deep learning: machine intelligence approach for drug discovery[J]. Mol Divers, 2021, 25(3):1315-1360. DOI:10.1007/s11030-021-10217-3 .
29	BROWN J W, CAETANO-ANOLLÉS D, CATANHO M, et al. Implementing goal-directed foraging decisions of a simpler nervous system in simulation[J]. eNeuro, 2018, 5(1): ENEURO.0400-17.2018. DOI:10.1523/ENEURO. 0400-17.2018

虚拟现实在实验动物行为分析中的应用进展

Application of Virtual Reality in the Behavior Analysis of Laboratory Animal

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