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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

462
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
462

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相关实验视频

Updated: Jun 20, 2025

Assessment and Communication for People with Disorders of Consciousness
07:37

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Published on: August 1, 2017

9.0K

可解释的人工智能为大脑和计算机接口的方法:一个审查和设计空间的方法.

Param Rajpura1, Hubert Cecotti2, Yogesh Kumar Meena1

  • 1Human-AI Interaction (HAIx) Lab, Indian Institute of Technology Gandhinagar, Gandhinagar, India.

Journal of neural engineering
|July 19, 2024
PubMed
概括
此摘要是机器生成的。

脑电脑接口 (BCI) 中可解释的人工智能 (XAI) 对信任至关重要,但目前的研究缺乏整合. 本审查提出了一个框架,以指导未来的XAI对BCI开发和标准的指导.

关键词:
大脑机器 (计算机) 接口可解释的人工智能可以解释的机器学习.数字AI的人工智能象征性的 AI 是象征性的.

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
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相关实验视频

Last Updated: Jun 20, 2025

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10:51

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科学领域:

  • 神经科学和人工智能 人工智能
  • 人与计算机的交互
  • 认知科学 认知科学

背景情况:

  • 大脑-计算机接口 (BCI) 用于高风险应用程序的预测模型,解释复杂的大脑信号.
  • 在BCI模型中,解释性是具有挑战性的,经常以透明度换取准确性,阻碍了信任.
  • 现有的文献缺乏关于可解释人工智能对BCI (XAI4BCI) 的综合观点,将可解释性,可解释性和理解等关键概念结合起来.

研究的目的:

  • 为了提供一个综合的观点,XAI技术应用于BCI.
  • 区分关键概念,并为XAI4BCI制定一个全面的框架.
  • 解决BCI开发和部署中各个利益相关者的解释性需求.

主要方法:

  • 从2015年起发表的1246项研究的系统审查和元分析,以PRISMA方法为指导.
  • 分析了84项选定的研究,以提取关于XAI4BCI的关键见解.
  • 制定六个关键研究问题,涵盖XAI在BCI中的目的,应用,可用性和技术可行性.

主要成果:

  • 目前的研究主要侧重于开发人员和研究人员的可解释性,以证明结果的合理性和改善模型性能.
  • 确定并讨论了XAI4BCI的独特方法,优势和局限性.
  • 为XAI4BCI提出了一个设计空间,强调可视化和利益相关者定制的结果.

结论:

  • 这篇论文是第一个专门审查XAI4BCI研究的论文,提供了一个全新的综合视角.
  • 调查结果强调了为BCI解释制定标准的必要性,并解决目前的局限性.
  • 拟议的框架和设计空间将指导BCI在XAI的未来研究和开发.