• 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

灵长类大脑中的高级信息处理主题。

Themes of advanced information processing in the primate brain.

作者信息

Friedman Robert

机构信息

Department of Biological Sciences, University of South Carolina, Columbia 29208, USA.

出版信息

AIMS Neurosci. 2020 Oct 15;7(4):373-388. doi: 10.3934/Neuroscience.2020023. eCollection 2020.

DOI:10.3934/Neuroscience.2020023
PMID:33263076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7701368/
Abstract

Here is a review of several empirical examples of information processing that occur in the primate cerebral cortex. These include visual processing, object identification and perception, information encoding, and memory. Also, there is a discussion of the higher scale neural organization, mainly theoretical, which suggests hypotheses on how the brain internally represents objects. Altogether they support the general attributes of the mechanisms of brain computation, such as efficiency, resiliency, data compression, and a modularization of neural function and their pathways. Moreover, the specific neural encoding schemes are expectedly stochastic, abstract and not easily decoded by theoretical or empirical approaches.

摘要

以下是对灵长类动物大脑皮层中发生的几个信息处理实证例子的综述。这些包括视觉处理、物体识别与感知、信息编码和记忆。此外,还讨论了更高层次的神经组织,主要是理论性的,它提出了关于大脑如何在内部表征物体的假设。总体而言,它们支持大脑计算机制的一般属性,如效率、弹性、数据压缩以及神经功能及其通路的模块化。此外,特定的神经编码方案预计是随机的、抽象的,并且不容易通过理论或实证方法进行解码。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/6f84ccf1db50/neurosci-07-04-023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/eb48fd83e9d3/neurosci-07-04-023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/14e7a30762a2/neurosci-07-04-023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/6f84ccf1db50/neurosci-07-04-023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/eb48fd83e9d3/neurosci-07-04-023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/14e7a30762a2/neurosci-07-04-023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2631/7701368/6f84ccf1db50/neurosci-07-04-023-g003.jpg

相似文献

1
Themes of advanced information processing in the primate brain.灵长类大脑中的高级信息处理主题。
AIMS Neurosci. 2020 Oct 15;7(4):373-388. doi: 10.3934/Neuroscience.2020023. eCollection 2020.
2
Performance of a Computational Model of the Mammalian Olfactory System哺乳动物嗅觉系统计算模型的性能
3
Separate neural pathways for the visual analysis of object shape in perception and prehension.用于在感知和抓握中对物体形状进行视觉分析的独立神经通路。
Curr Biol. 1994 Jul 1;4(7):604-10. doi: 10.1016/s0960-9822(00)00132-9.
4
Interaction between Scene and Object Processing Revealed by Human fMRI and MEG Decoding.通过人类功能磁共振成像和脑磁图解码揭示场景与物体加工之间的相互作用
J Neurosci. 2017 Aug 9;37(32):7700-7710. doi: 10.1523/JNEUROSCI.0582-17.2017. Epub 2017 Jul 7.
5
The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks.腹侧视觉通路代表动物的外观而不是能动性,与人类行为和深度神经网络不同。
J Neurosci. 2019 Aug 14;39(33):6513-6525. doi: 10.1523/JNEUROSCI.1714-18.2019. Epub 2019 Jun 13.
6
Visual and Haptic Shape Processing in the Human Brain: Unisensory Processing, Multisensory Convergence, and Top-Down Influences.人类大脑中的视觉与触觉形状处理:单感官处理、多感官融合及自上而下的影响
Cereb Cortex. 2016 Aug;26(8):3402-3412. doi: 10.1093/cercor/bhv170. Epub 2015 Jul 28.
7
Multisensory Enhancement of Odor Object Processing in Primary Olfactory Cortex.多感觉增强初级嗅觉皮层的气味物体处理。
Neuroscience. 2019 Oct 15;418:254-265. doi: 10.1016/j.neuroscience.2019.08.040. Epub 2019 Aug 29.
8
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.大规模、高分辨率的人类、猴子和最先进的深度人工神经网络核心视觉对象识别行为比较。
J Neurosci. 2018 Aug 15;38(33):7255-7269. doi: 10.1523/JNEUROSCI.0388-18.2018. Epub 2018 Jul 13.
9
Crossmodal Association of Visual and Haptic Material Properties of Objects in the Monkey Ventral Visual Cortex.猕猴腹侧视觉皮层中物体视觉与触觉材料属性的跨模态关联
Curr Biol. 2016 Apr 4;26(7):928-34. doi: 10.1016/j.cub.2016.02.003. Epub 2016 Mar 17.
10
Unaware Processing of Tools in the Neural System for Object-Directed Action Representation.神经系统中用于对象导向动作表征的工具无意识加工
J Neurosci. 2017 Nov 1;37(44):10712-10724. doi: 10.1523/JNEUROSCI.1061-17.2017. Epub 2017 Oct 4.

本文引用的文献

1
CUE: A unified spiking neuron model of short-term and long-term memory.线索:一种短期和长期记忆的统一尖峰神经元模型。
Psychol Rev. 2021 Jan;128(1):104-124. doi: 10.1037/rev0000250. Epub 2020 Aug 20.
2
Computation Through Neural Population Dynamics.通过神经群体动力学进行计算。
Annu Rev Neurosci. 2020 Jul 8;43:249-275. doi: 10.1146/annurev-neuro-092619-094115.
3
A Guide to Conquer the Biological Network Era Using Graph Theory.《利用图论征服生物网络时代指南》
Front Bioeng Biotechnol. 2020 Jan 31;8:34. doi: 10.3389/fbioe.2020.00034. eCollection 2020.
4
Widespread temporal coding of cognitive control in the human prefrontal cortex.人类前额皮质中认知控制的广泛时间编码。
Nat Neurosci. 2019 Nov;22(11):1883-1891. doi: 10.1038/s41593-019-0494-0. Epub 2019 Sep 30.
5
Neural dynamics of semantic composition.语义组合的神经动力学。
Proc Natl Acad Sci U S A. 2019 Oct 15;116(42):21318-21327. doi: 10.1073/pnas.1903402116. Epub 2019 Sep 30.
6
Factors Determining Where Category-Selective Areas Emerge in Visual Cortex.影响视觉皮层中类别选择性区域出现的因素。
Trends Cogn Sci. 2019 Sep;23(9):784-797. doi: 10.1016/j.tics.2019.06.006. Epub 2019 Jul 18.
7
Mechanisms of vision in the fruit fly.果蝇的视觉机制。
Curr Opin Insect Sci. 2019 Dec;36:25-32. doi: 10.1016/j.cois.2019.06.005. Epub 2019 Jun 27.
8
Peeling the Onion of Brain Representations.解析大脑表象的洋葱。
Annu Rev Neurosci. 2019 Jul 8;42:407-432. doi: 10.1146/annurev-neuro-080317-061906.
9
Coexisting representations of sensory and mnemonic information in human visual cortex.人类视觉皮层中感觉和记忆信息的共存表征。
Nat Neurosci. 2019 Aug;22(8):1336-1344. doi: 10.1038/s41593-019-0428-x. Epub 2019 Jul 1.
10
Neural correlates of sparse coding and dimensionality reduction.神经稀疏编码和降维的关联。
PLoS Comput Biol. 2019 Jun 27;15(6):e1006908. doi: 10.1371/journal.pcbi.1006908. eCollection 2019 Jun.