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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Extracellular DNA (ecDNA) released during cell death is proinflammatory and contributes to inflammation. Measurement of ecDNA at the site of injury can determine the efficacy of therapeutic treatment in the target organ. This protocol describes the use of a machine learning tool to automate measurement of ecDNA in kidney...
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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
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相关实验视频

Updated: Jan 20, 2026

Self-Awareness and Its Effects
01:21

Self-Awareness and Its Effects

Published on: September 18, 2025

283

一个分布意识的半监督管道,用于具有成本效益的神经元细分.

Yanchao Zhang1,2, Hao Zhai1,2, Jinyue Guo1,3

  • 1State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

iScience
|January 19, 2026
PubMed
概括

半监督学习通过使用未标记的数据在电子显微镜 (EM) 中改善神经元细分. 我们的分布意识方法增强了模型的概括性,这对于准确的连接原子重建至关重要.

关键词:
卫生科学 卫生科学

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科学领域:

  • 神经科学是一个神经科学.
  • 计算机科学 计算机科学
  • 机器学习 机器学习

背景情况:

  • 半监督学习 (SSL) 在电子显微镜 (EM) 卷中对神经元细分具有成本效益.
  • SSL使用未标记的数据来改善对神经元边界预测的监督训练.
  • 标记和未标记数据之间的分布不匹配限制了在EM神经元细分中的SSL模型概括.

研究的目的:

  • 开发一个分布意识的管道,以加强在EM卷中半监督的神经元细分.
  • 为解决SSL对EM数据固有的分布不匹配问题.
  • 提高神经元细分模型的概括能力.

主要方法:

  • 用未监督的分布相似性对代表性子卷进行注释的数据层选择.
  • 在标记和未标记数据的混合视图中,鼓励在模型层面上进行一致的预测.
  • 网络设计以对齐功能分布和学习共享语义.

主要成果:

  • 开发的管道有效地增强了EM体积中的半监督神经元细分.
  • 该方法在各种EM数据集上展示了改进的模型概括性.
  • 这种方法成功地解决了分布不匹配的问题.

结论:

  • 分布意识管道显著改善了EM中半监督的神经元细分.
  • 这种方法有可能减少手动校对工作的努力.
  • 这种方法可以加速大规模的连接原子重建.