• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

恒河猴对自然图像的快速分类

Rapid categorization of natural images by rhesus monkeys.

作者信息

Fabre-Thorpe M, Richard G, Thorpe S J

机构信息

Centre de Recherche Cerveau et Cognition (UMR 5549), Faculté de Médecine de Rangueil, Toulouse, France.

出版信息

Neuroreport. 1998 Jan 26;9(2):303-8. doi: 10.1097/00001756-199801260-00023.

DOI:10.1097/00001756-199801260-00023
PMID:9507973
Abstract

Two rhesus macaques were tested on a categorization task in which they had to classify previously unseen photographs flashed for only 80 ms. One monkey was trained to respond to the presence of an animal, the second to the presence of food. Although the monkeys were not quite as accurate as humans tested on the same material, they nevertheless performed this very challenging visual task remarkably well. Furthermore, their reaction times were considerably shorter than even the fastest human subject. Such data, combined with the detailed knowledge of the monkey's visual system, provide a severe challenge to current theories of visual processing. They also argue that this form of rapid visual categorization is fundamentally similar in both monkeys and humans.

摘要

对两只恒河猴进行了一项分类任务测试,在该任务中,它们必须对仅闪现80毫秒的先前未见过的照片进行分类。一只猴子被训练对动物的出现做出反应,另一只则对食物的出现做出反应。尽管这些猴子在相同材料测试中的准确性不如人类,但它们在这项极具挑战性的视觉任务中表现得非常出色。此外,它们的反应时间甚至比最快的人类受试者还要短得多。这些数据,再加上对猴子视觉系统的详细了解,对当前的视觉处理理论提出了严峻挑战。它们还表明,这种快速视觉分类形式在猴子和人类中从根本上是相似的。

相似文献

1
Rapid categorization of natural images by rhesus monkeys.恒河猴对自然图像的快速分类
Neuroreport. 1998 Jan 26;9(2):303-8. doi: 10.1097/00001756-199801260-00023.
2
Ultra-rapid categorisation in non-human primates.非人灵长类动物的超快速分类
Anim Cogn. 2008 Jul;11(3):485-93. doi: 10.1007/s10071-008-0139-2. Epub 2008 Feb 8.
3
Spotting animals in natural scenes: efficiency of humans and monkeys at very low contrasts.在自然场景中识别动物:人类和猴子在极低对比度下的效率。
Anim Cogn. 2010 May;13(3):405-18. doi: 10.1007/s10071-009-0290-4. Epub 2009 Nov 18.
4
Rapid categorization of natural scenes in monkeys: target predictability and processing speed.猴子对自然场景的快速分类:目标可预测性与处理速度
Neuroreport. 2005 Mar 15;16(4):349-54. doi: 10.1097/00001756-200503150-00009.
5
[Visually-guided discrimination and preference of sexuality in female macaque monkeys].[雌性猕猴视觉引导下的性别辨别与偏好]
Fukuoka Igaku Zasshi. 1997 Apr;88(4):105-16.
6
[STUDYING THE INTERACTION OF RHESUS MONKEYS WITH THE TACTILE MONITOR DURING THEIR OBSERVATION OF LOW-FREQUENCY VISUAL TEST IMAGES].[研究恒河猴在观察低频视觉测试图像时与触觉监测器的相互作用]
Ross Fiziol Zh Im I M Sechenova. 2016 Aug;102(8):931-9.
7
Ultra-rapid categorization of fourier-spectrum equalized natural images: macaques and humans perform similarly.超快速傅里叶频谱均衡自然图像分类:猕猴和人类表现相似。
PLoS One. 2011 Feb 4;6(2):e16453. doi: 10.1371/journal.pone.0016453.
8
Contextual Congruency Effect in Natural Scene Categorization: Different Strategies in Humans and Monkeys (Macaca mulatta).自然场景分类中的情境一致性效应:人类与猕猴(恒河猴)的不同策略
PLoS One. 2015 Jul 24;10(7):e0133721. doi: 10.1371/journal.pone.0133721. eCollection 2015.
9
Is it a bird? Is it a plane? Ultra-rapid visual categorisation of natural and artifactual objects.它是一只鸟吗?它是一架飞机吗?对自然物体和人造物体的超快速视觉分类。
Perception. 2001;30(6):655-68. doi: 10.1068/p3029.
10
Spontaneous expression of mirror self-recognition in monkeys after learning precise visual-proprioceptive association for mirror images.猴子在学习了精确的视觉-本体感觉关联以识别镜像后自发表现出镜像自我识别。
Proc Natl Acad Sci U S A. 2017 Mar 21;114(12):3258-3263. doi: 10.1073/pnas.1620764114. Epub 2017 Feb 13.

引用本文的文献

1
Animacy processing by distributed and interconnected networks in the temporal cortex of monkeys.猴子颞叶皮质中分布式和相互连接的网络对动物性的处理
Front Behav Neurosci. 2024 Dec 13;18:1478439. doi: 10.3389/fnbeh.2024.1478439. eCollection 2024.
2
Opinion on the event-related potential signature of automatic detection of violated regularity (visual mismatch negativity): non-perceptual but predictive.关于违反规律自动检测(视觉失配负波)的事件相关电位特征的观点:非感知性但具有预测性。
Front Hum Neurosci. 2023 Nov 15;17:1295431. doi: 10.3389/fnhum.2023.1295431. eCollection 2023.
3
Ultrafast Image Categorization in Biology and Neural Models.
生物学和神经模型中的超快图像分类
Vision (Basel). 2023 Mar 24;7(2):29. doi: 10.3390/vision7020029.
4
It is not just the category: behavioral effects of fMRI-guided electrical microstimulation result from a complex interplay of factors.这不仅仅是类别:功能磁共振成像引导下的电微刺激的行为效应源于多种因素的复杂相互作用。
Cereb Cortex Commun. 2022 Feb 26;3(1):tgac010. doi: 10.1093/texcom/tgac010. eCollection 2022.
5
RUBubbles as a novel tool to study categorization learning.RUBubbles 作为一种研究分类学习的新工具。
Behav Res Methods. 2022 Aug;54(4):1778-1793. doi: 10.3758/s13428-021-01695-2. Epub 2021 Oct 20.
6
Sparse deep predictive coding captures contour integration capabilities of the early visual system.稀疏深度预测编码捕捉早期视觉系统的轮廓整合能力。
PLoS Comput Biol. 2021 Jan 26;17(1):e1008629. doi: 10.1371/journal.pcbi.1008629. eCollection 2021 Jan.
7
Observing animals and humans: dogs target their gaze to the biological information in natural scenes.观察动物和人类:狗会将目光投向自然场景中的生物信息。
PeerJ. 2020 Dec 16;8:e10341. doi: 10.7717/peerj.10341. eCollection 2020.
8
Rapid visual categorization is not guided by early salience-based selection.快速视觉分类不受早期基于显著度的选择的指导。
PLoS One. 2019 Oct 24;14(10):e0224306. doi: 10.1371/journal.pone.0224306. eCollection 2019.
9
Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes.基于数据原型的非大数据深度学习的生物启发式分析
Front Comput Neurosci. 2019 Jan 9;12:100. doi: 10.3389/fncom.2018.00100. eCollection 2018.
10
Nonverbal Working Memory for Novel Images in Rhesus Monkeys.恒河猴对新图像的非言语工作记忆。
Curr Biol. 2018 Dec 17;28(24):3903-3910.e3. doi: 10.1016/j.cub.2018.10.025. Epub 2018 Nov 29.