• 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

相似文献

1
Understanding Image Memorability.理解图像可记忆性。
Trends Cogn Sci. 2020 Jul;24(7):557-568. doi: 10.1016/j.tics.2020.04.001. Epub 2020 May 5.
2
Population response magnitude variation in inferotemporal cortex predicts image memorability.颞下回皮层中群体反应幅度的变化可预测图像的可记性。
Elife. 2019 Aug 29;8:e47596. doi: 10.7554/eLife.47596.
3
Predicting memorability of face photographs with deep neural networks.用深度神经网络预测人脸照片的可记性。
Sci Rep. 2024 Jan 13;14(1):1246. doi: 10.1038/s41598-023-49904-6.
4
Children develop adult-like visual sensitivity to image memorability by the age of 4.儿童在 4 岁时发展出成人般的对图像可记性的视觉敏感性。
J Exp Psychol Gen. 2024 Feb;153(2):531-543. doi: 10.1037/xge0001511. Epub 2023 Dec 7.
5
Visual memorability in the absence of semantic content.无语义内容时的视觉可记性。
Cognition. 2021 Jul;212:104714. doi: 10.1016/j.cognition.2021.104714. Epub 2021 May 7.
6
Prediction of Visual Memorability with EEG Signals: A Comparative Study.基于 EEG 信号的视觉可记忆性预测:一项对比研究。
Sensors (Basel). 2020 May 9;20(9):2694. doi: 10.3390/s20092694.
7
MemCat: a new category-based image set quantified on memorability.MemCat:一个基于类别且在记忆性方面进行量化的新图像集。
PeerJ. 2019 Dec 12;7:e8169. doi: 10.7717/peerj.8169. eCollection 2019.
8
Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network.图像可记忆性由卷积神经网络不同阶段的可辨别性和相似性来预测。
Learn Mem. 2020 Nov 16;27(12):503-509. doi: 10.1101/lm.051649.120. Print 2020 Dec.
9
Emotional modulation of memorability in mnemonic discrimination.记忆辨别中记忆能力的情绪调节。
Neurobiol Learn Mem. 2024 Apr;210:107904. doi: 10.1016/j.nlm.2024.107904. Epub 2024 Feb 28.
10
The effect of intrinsic image memorability on recollection and familiarity.内隐表象记忆可辨度对再认和熟悉度的影响。
Mem Cognit. 2021 Jul;49(5):998-1018. doi: 10.3758/s13421-020-01105-6. Epub 2020 Nov 23.

引用本文的文献

1
Resolving a paradox about how vision is transformed into familiarity.解决一个关于视觉如何转化为熟悉感的悖论。
bioRxiv. 2025 Jun 14:2025.06.13.659490. doi: 10.1101/2025.06.13.659490.
2
Associating everything with everything else, all at once: Semantic associations facilitate visual working memory formation for real-world objects.一次性将所有事物与其他所有事物关联起来:语义关联有助于形成对现实世界物体的视觉工作记忆。
J Exp Psychol Hum Percept Perform. 2025 Jun 26. doi: 10.1037/xhp0001347.
3
End-to-end topographic networks as models of cortical map formation and human visual behaviour.作为皮质图谱形成和人类视觉行为模型的端到端地形网络
Nat Hum Behav. 2025 Jun 6. doi: 10.1038/s41562-025-02220-7.
4
Visual short-term memory, culture, and image structure.视觉短期记忆、文化与图像结构。
Atten Percept Psychophys. 2025 May 27. doi: 10.3758/s13414-025-03094-7.
5
Episodic memory and semantic knowledge interact to guide eye movements during visual search in scenes: Distinct effects of conscious and unconscious memory.情景记忆和语义知识在场景视觉搜索过程中相互作用以引导眼动:意识记忆和无意识记忆的不同作用。
Psychon Bull Rev. 2025 May 21. doi: 10.3758/s13423-025-02686-6.
6
Unraveling the complexity of rat object vision requires a full convolutional network and beyond.剖析大鼠物体视觉的复杂性需要一个全卷积网络及其他技术。
Patterns (N Y). 2025 Jan 17;6(2):101149. doi: 10.1016/j.patter.2024.101149. eCollection 2025 Feb 14.
7
Visual homogeneity computations in the brain enable solving property-based visual tasks.大脑中的视觉同质性计算有助于解决基于属性的视觉任务。
Elife. 2025 Feb 18;13:RP93033. doi: 10.7554/eLife.93033.
8
Predicting image memorability from evoked feelings.从诱发的情感预测图像的记忆性。
Behav Res Methods. 2025 Jan 14;57(1):58. doi: 10.3758/s13428-024-02510-4.
9
Coordinated representations for naturalistic memory encoding and retrieval in hippocampal neural subspaces.海马神经子空间中自然记忆编码与检索的协调表征
Nat Commun. 2025 Jan 14;16(1):641. doi: 10.1038/s41467-025-55833-x.
10
The representational instability in the generalization of fear learning.恐惧学习泛化中的表征不稳定性。
NPJ Sci Learn. 2024 Dec 19;9(1):78. doi: 10.1038/s41539-024-00287-x.

本文引用的文献

1
The extent and drivers of gender imbalance in neuroscience reference lists.神经科学参考文献中性别失衡的程度和驱动因素。
Nat Neurosci. 2020 Aug;23(8):918-926. doi: 10.1038/s41593-020-0658-y. Epub 2020 Jun 19.
2
The resiliency of image memorability: A predictor of memory separate from attention and priming.图像可记性的弹性:一种与注意力和启动分开预测记忆的指标。
Neuropsychologia. 2020 Apr;141:107408. doi: 10.1016/j.neuropsychologia.2020.107408. Epub 2020 Feb 22.
3
MemCat: a new category-based image set quantified on memorability.MemCat:一个基于类别且在记忆性方面进行量化的新图像集。
PeerJ. 2019 Dec 12;7:e8169. doi: 10.7717/peerj.8169. eCollection 2019.
4
Mnemonic Similarity Task: A Tool for Assessing Hippocampal Integrity.记忆相似任务:评估海马完整性的工具。
Trends Cogn Sci. 2019 Nov;23(11):938-951. doi: 10.1016/j.tics.2019.08.003. Epub 2019 Oct 6.
5
Population response magnitude variation in inferotemporal cortex predicts image memorability.颞下回皮层中群体反应幅度的变化可预测图像的可记性。
Elife. 2019 Aug 29;8:e47596. doi: 10.7554/eLife.47596.
6
Incidental image memorability.偶然图像记忆能力。
Memory. 2019 Oct;27(9):1273-1282. doi: 10.1080/09658211.2019.1652328. Epub 2019 Aug 11.
7
The perceptual neural trace of memorable unseen scenes.难忘未见场景的知觉神经痕迹。
Sci Rep. 2019 Apr 15;9(1):6033. doi: 10.1038/s41598-019-42429-x.
8
Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits.灵长类 IT 的不同毫米级区域的可逆失活导致核心物体识别缺陷的不同模式。
Neuron. 2019 Apr 17;102(2):493-505.e5. doi: 10.1016/j.neuron.2019.02.001. Epub 2019 Mar 13.
9
Drawings of real-world scenes during free recall reveal detailed object and spatial information in memory.自由回忆过程中对真实场景的绘制揭示了记忆中详细的物体和空间信息。
Nat Commun. 2019 Jan 2;10(1):5. doi: 10.1038/s41467-018-07830-6.
10
The Role of Meaning in Visual Memory: Face-Selective Brain Activity Predicts Memory for Ambiguous Face Stimuli.意义在视觉记忆中的作用:对面部刺激的选择性大脑活动预测记忆的模糊性。
J Neurosci. 2019 Feb 6;39(6):1100-1108. doi: 10.1523/JNEUROSCI.1693-18.2018. Epub 2018 Dec 12.

理解图像可记忆性。

Understanding Image Memorability.

机构信息

Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.

出版信息

Trends Cogn Sci. 2020 Jul;24(7):557-568. doi: 10.1016/j.tics.2020.04.001. Epub 2020 May 5.

DOI:10.1016/j.tics.2020.04.001
PMID:32386889
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8818973/
Abstract

Why are some images easier to remember than others? Here, we review recent developments in our understanding of 'image memorability', including its behavioral characteristics, its neural correlates, and the optimization principles from which it originates. We highlight work that has used large behavioral data sets to leverage memorability scores computed for individual images. These studies demonstrate that the mapping of image content to image memorability is not only predictable, but also non-intuitive and multifaceted. This work has also led to insights into the neural correlates of image memorability, by way of the discovery of a type of population response magnitude variation that emerges in high-level visual cortex as well as higher stages of deep neural networks trained to categorize objects.

摘要

为什么有些图像比其他图像更容易被记住?在这里,我们回顾了我们对“图像可记性”的理解的最新进展,包括其行为特征、神经相关性,以及它所产生的优化原则。我们强调了使用大型行为数据集的工作,这些数据集利用了为个别图像计算的可记性分数。这些研究表明,将图像内容映射到图像可记性不仅是可预测的,而且是不可直觉的和多方面的。这项工作还通过发现高水平视觉皮层以及经过训练以分类对象的深层神经网络的更高阶段中出现的一种群体反应幅度变化类型,为图像可记性的神经相关性提供了新的见解。