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

Neural Circuits01:25

Neural Circuits

1.1K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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

Visual uncertainty and task demands shape active sensing strategies in mice.

Current biology : CB·2026
Same author

Inhibition benefits neural system identification.

bioRxiv : the preprint server for biology·2026
Same author

PriMAT: Robust multi-animal tracking of primates in the wild.

PloS one·2026
Same author

Author Correction: Foundation model of neural activity predicts response to new stimulus types.

Nature·2026
Same author

Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies.

PLoS computational biology·2026
Same author

Statistics of natural scenes shape contextual modulation in the visual cortex.

Neuron·2026
Same journal

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data.

ArXiv·2026
Same journal

Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.

ArXiv·2026
Same journal

Characterizing Universal Object Representations Across Vision Models.

ArXiv·2026
Same journal

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

ArXiv·2026
Same journal

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026
Same journal

The Origin of Life in the Light of Evolution.

ArXiv·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

学习聚合神经元功能的学习.

Nina S Nellen, Polina Turishcheva, Michaela Vystrčilová

    ArXiv
    |June 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了DECEMber,这是一种使用深度学习改进视觉皮层细胞类型识别的新方法. DECEMber增强了大脑数字双胞胎中的神经元聚类,揭示了更清晰的功能组织.

    更多相关视频

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.0K
    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

    相关实验视频

    Last Updated: Jun 13, 2025

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    6.9K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.0K
    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

    科学领域:

    • 计算神经科学是一种神经科学.
    • 机器学习 机器学习
    • 神经科学是一个神经科学.

    背景情况:

    • 深度神经网络 (DNN) 是视觉皮层的数字双胞胎,可以进行每神经元嵌入分析.
    • 目前小鼠V1的DNN缺乏明确的每神经元嵌入集群,质疑模型的局限性与生物现实.

    研究的目的:

    • 开发一种方法,增强从DNN中每个神经元嵌入的集群.
    • 通过改进细胞类型识别来研究小鼠V1的功能组织.

    主要方法:

    • 引入了DECEMber (通过预期最大化基于精细化进行深度嵌入集群),用于结构化嵌入的辅助损失函数.
    • 通过使用EM算法,共同优化神经元特征嵌入和集群参数.

    主要成果:

    • 与标准方法相比,DECEMber提高了集群的一致性和稳定性.
    • 该方法保持了DNN的高预测性能.
    • DECEMber证明了跨物种 (小鼠,灵长类动物) 和视觉区域 (视网膜,V1,V4) 的概括性.

    结论:

    • DECEMber有效地增强了每个神经元在DNN中嵌入的结构化组织.
    • 这些发现表明,改进的建模可以揭示视觉皮层中更清晰的功能性细胞类型组织.
    • 这种方法是稳健的,适用于各种神经数据.