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Deactivation Processes: Jablonski Diagram01:25

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Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
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Heterotrimeric G proteins are guanine nucleotide-binding proteins. As the name suggests, heterotrimeric G proteins are composed of three subunits: alpha, beta, and gamma. They remain GDP-bound or GTP-bound inside the cells and switch between inactive/active states. The Gα subunit possesses the nucleotide-binding pocket that binds guanine nucleotides and switches between GDP or GTP-bound states. In contrast, the Gꞵ and Gγ subunits are always bound together with high...
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The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
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Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
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The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
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CAManim:动画端到端网络激活地图

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我们介绍CAManim,这是一款新的可视化工具,可以在卷积神经网络 (CNN) 的所有层中激活类激活地图 (CAM),以提高模型的解释性. 这种方法提高了对CNN预测的理解,并引入了一个新的定量评估,ybROAD,以提高对AI模型的信任.

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科学领域:

  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 深度神经网络,特别是卷积神经网络 (CNN),在图像分析方面表现出色,但经常充当黑子.
  • 对于开发人员和最终用户来说,了解复杂的CNN的内部运作和学习表示是具有挑战性的.
  • 可解释的人工智能 (XAI) 方法,如类激活地图 (CAM),旨在消除CNN预测和性能的神秘性.

研究的目的:

  • 介绍CAManim,一种新的XAI可视化技术,用于增强最终用户对CNN预测的理解.
  • 为了提供一个端到端的可视化,如何CNN逐渐到达最后的层激活.
  • 提出一种新的定量评估指标,ybROAD,以补充定性解释.

主要方法:

  • 开发了CAManim,这是一种在所有CNN层中动画基于CAM的网络激活地图的方法.
  • 证明了CAManim与各种基于CAM的方法和CNN架构的兼容性.
  • 引入了ybROAD指标,这是用于定量模型评估的Remove and Debias (ROAD) 指标的扩展.

主要成果:

  • 通过动画激活地图,CAManim有效地可视化了CNN预测的端到端过程.
  • 这种方法是多功能性的,可以在不同的CAM技术和CNN模型中工作.
  • 综合的定性 (CAManim) 和定量 (ybROAD) 评估提供了一个更强大的模型评估.

结论:

  • 对于最终用户来说,CAManim显著提高了CNN模型的可解释性和透明度.
  • 拟议的ybROAD指标为模型评估提供了一种新的定量方法.
  • 这些进步促进了对人工智能驱动的预测更大的信任和理解.