Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Encoding01:19

Encoding

156
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
156
Parallel Processing01:20

Parallel Processing

150
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
150
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

781
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
781
Language and Cognition01:27

Language and Cognition

340
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
340
Vision01:24

Vision

53.1K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.1K
Storage01:23

Storage

83
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
83

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The human language processing system straightens natural speech.

bioRxiv : the preprint server for biology·2026
Same author

IMPA2 ameliorates high-fat diet-induced obesity by enhancing adaptive thermogenesis in a Ca²⁺-activated mitochondrial biogenesis pathway.

Journal of translational medicine·2026
Same author

Engineering the tumor immune landscape: Translating non-invasive physical stimulation into tumor-associated macrophage-targeted cancer immunotherapy.

Bioengineering & translational medicine·2026
Same author

Detection and removal methods of antibiotic-resistance genes in drinking water sources: a review.

Journal of water and health·2026
Same author

Dimensional reduction of hydrogen-bonding networks induced by hierarchical confinement to promote ultra-fast adsorption of hydrated ions to targeted sites.

Water research·2026
Same author

Ultrasound-driven mechanical immunomodulation enhances tumor treatment sensitivity: advances from tumor mechanical immunobiology to immunotherapy applications.

Frontiers in immunology·2026

相关实验视频

Updated: Jun 21, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.7K

基于多式变压器的脑编码模型可以跨语言和视觉传输.

Jerry Tang1, Meng Du2, Vy A Vo3

  • 1UT Austin.

Advances in neural information processing systems
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

多模转换器使大脑编码模型能够预测跨语言和视觉任务的大脑活动. 这揭示了共享的语义维度,并增强了对大脑多模式处理能力的理解.

更多相关视频

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

384

相关实验视频

Last Updated: Jun 21, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

384

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 人工智能的人工智能

背景情况:

  • 编码模型分析大脑对语言和视觉概念的表现.
  • 目前的模型通常将每个模式单独处理,从而限制了跨模式的洞察力.
  • 多式变压器在语言和视觉上提供了对齐的概念表示.

研究的目的:

  • 通过使用多式变压器表示来训练交叉模式编码模型.
  • 调查编码模型在fMRI对故事和电影的反应之间的可转移性.
  • 在人类概念表示中识别共享的语义维度.

主要方法:

  • 利用来自多式变压器的表示来训练大脑编码模型.
  • 测试了对预测fMRI对故事 (语言) 和电影 (视觉) 的反应的模型性能.
  • 分析了编码模型,以发现交叉模式概念表示的基础上的共享语义维度.

主要成果:

  • 在一种模式中训练的编码模型成功预测了在另一种模式中的大脑反应.
  • 在与概念意义相关的皮质区域观察到高的可转移性.
  • 与单模变压器相比,多模变压器产生了更一致的表示.

结论:

  • 多模式变压器有助于开发有效的跨模式大脑编码模型.
  • 这些发现突出了大脑处理语言和视觉的共享语义结构.
  • 这项研究推动了我们对多式联络信息处理神经基础的理解.