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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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.
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
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相关实验视频

Updated: Jun 16, 2025

Practical Methodology of Cognitive Tasks Within a Navigational Assessment
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评估认知表现:传统方法与聊天GPT.

Xiao Fei1, Ying Tang1, Jianan Zhang1

  • 1Department of Rehabilitation Medicine, The First People's Hospital of Changzhou, Changzhou, China.

Digital health
|August 19, 2024
PubMed
概括
此摘要是机器生成的。

像ChatGPT这样的自然语言处理 (NLP) 模型在医学评估中表现有希望. 在评分和交互协议的改进改善了ChatGPT.

关键词:
人工智能的人工智能是人工智能.聊天GPT 聊天GPT 聊天抽象是抽象的,抽象是抽象的计算计算计算的计算方法有关认知性的认知.语言语言语言语言语言语言.记忆 记忆 记忆 记忆 记忆

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科学领域:

  • 认知科学和人工智能是人工智能.
  • 医疗信息学和数字健康

背景情况:

  • 自然语言处理 (NLP) 模型,如ChatGPT,正在成为医学中基于文本的内容交付的潜在工具.
  • 对于ChatGPT在支持认知性能评估方面的可靠性和全面性存在担忧,需要进一步研究其准确性.

研究的目的:

  • 调查NLP模型 (GPT-3.5和GPT-4) 在与医疗保健专业人员相比评估认知表现的准确性和全面性.
  • 探索改进评分协议和交互方法的潜力,以提高ChatGPT在认知评估中的实用性.

主要方法:

  • 90名参与者的队列 (60名认知正常,30名中风幸存者) 接受了认知评估 (记忆,数值处理,口头流利,抽象思维).
  • 评估由医疗保健专业人员和NLP模型 (GPT-3.5,GPT-4) 使用既定标准进行.
  • 比较得分,并应用了对得分和互动的优化策略.

主要成果:

  • 与健康个体的医生评估相比,GPT-3.5在记忆和语音评估中显示出显著的差异 (P < 0.001).
  • 与医生评估相比,GPT-3.5在中风幸存者的口头评估中也表现出差异 (P = 0.002).
  • 优化得分和交互协议部分缓解了这些差异.

结论:

  • NLP模型,特别是GPT-4,可以产生与传统方法相比的认知评估结果,GPT-4显示与医生评级更接近.
  • 对得分算法和交互协议的改进可以改善ChatGPT的结果与医生评估的一致性.
  • 聊天GPT展示了多功能性和潜力,作为一个补充工具,在医学领域收集信息,特别是认知评估,即使在人口中,如中风.