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

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

8.1K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
8.1K
Diencephalon: Thalamus and Information Relay01:27

Diencephalon: Thalamus and Information Relay

4.9K
The thalamus, often called “the gateway to the cerebral cortex,” is vital in processing and directing sensory and motor signals throughout the brain. Almost all inputs destined for the cerebral cortex, except for olfactory signals, are relayed through the thalamus. The thalamus is  a sophisticated relay station, channeling information from various brain regions to the cerebral cortex, as well as a filter, prioritizing certain signals over others based on current physiological...
4.9K
Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

4.1K
The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
4.1K
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.2K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.2K
Parallel Processing01:20

Parallel Processing

950
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...
950
Encoding01:19

Encoding

1.1K
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...
1.1K

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

A Brain-Targeted DNA Delivery Nanocarrier Modulator for Synergistic Therapy of Parkinson's Disease.

ACS applied materials & interfaces·2026
Same author

Effect of different structures of β-glucan on extruded starch: physicochemical properties, multiscale structure, and in vitro digestibility.

Food chemistry·2026
Same author

Distribution and influencing factors of soil and groundwater pollution at pharmaceutical sites in China.

Journal of environmental sciences (China)·2026
Same author

Cross-media partitioning, ecological-health risks, and source apportionment of heavy metals in a river-sediment system.

Environmental research·2026
Same author

Cardiovascular Disease Risk and Noncardiovascular Chronic Disease Burden by Housing Status.

Journal of the American Heart Association·2026
Same author

Endovenous treatment via profunda femoral vein approach for iliofemoral venous obstruction with inadequate femoral vein inflow.

Vascular medicine (London, England)·2026

相关实验视频

Updated: May 5, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.0K

深度转移学习在内主题和跨主题的内皮层大脑机器接口解码.

Zhongzheng Fu, Peng Zhang, Xinrun He

    IEEE transactions on bio-medical engineering
    |December 5, 2025
    PubMed
    概括

    本研究介绍了用于脑计算机接口的改进深度传输网络 (IDTN). IDTN提高了神经解码的准确性和效率,减少了大脑机器接口系统中大量标记数据的需求.

    科学领域:

    • 神经科学是一个神经科学.
    • 机器学习 机器学习
    • 生物医学工程 生物医学工程

    背景情况:

    • 皮层内脑机器接口 (iBMI) 对于恢复功能至关重要.
    • 解码神经信号在准确性,校准性和适应性方面存在挑战.
    • 当前的IBMI系统通常需要重要的标记数据进行培训.

    研究的目的:

    • 为iBMI系统开发一个改进的深度传输网络 (IDTN).
    • 为了提高解码精度,校准效率和适应性.
    • 为了减少对iBMI培训新标记样本的依赖.

    主要方法:

    • IDTN集成了结构性联合歧视性最大平均差异 (SJDMMD) 和核心规范改进的多高斯核心 (KNK).
    • SJDMMD采用结构增强的软标签权重,以实现精确的跨域对齐.
    • KNK使用多高斯核与规范化,以改善特征表示.

    主要成果:

    • IDTN在人体内和人体间的神经解码方面表现出卓越的表现.
    • 提出的方法在解码精度方面始终超过了最先进的技术.
    • 废除研究证实了SJDMMD在增强类分离能力方面的作用,以及KNK在内核映射中的有效性.

    更多相关视频

    Performing Behavioral Tasks in Subjects with Intracranial Electrodes
    12:10

    Performing Behavioral Tasks in Subjects with Intracranial Electrodes

    Published on: October 2, 2014

    11.8K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.4K

    相关实验视频

    Last Updated: May 5, 2026

    Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
    11:25

    Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

    Published on: July 26, 2013

    44.0K
    Performing Behavioral Tasks in Subjects with Intracranial Electrodes
    12:10

    Performing Behavioral Tasks in Subjects with Intracranial Electrodes

    Published on: October 2, 2014

    11.8K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.4K

    结论:

    • 结构意识转移学习对于神经解码是有效的.
    • IDTN对现实世界中的iBMI应用具有前景,特别是在数据有限的场景中.