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相关概念视频

Explicit Memories01:27

Explicit Memories

198
Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
198
Long-Term Memory01:18

Long-Term Memory

257
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
257
Autobiographical Memory01:14

Autobiographical Memory

5.9K
Autobiographical memory is a unique type of episodic memory that involves recollecting personal life experiences. It allows individuals to remember significant events from their past, creating a narrative of their lives. One interesting phenomenon related to autobiographical memory is the reminiscence bump. This effect refers to the tendency of adults to recall more events from their second and third decades of life — typically between ages 10 to 30 — than from other periods. This...
5.9K
Implicit Memories01:24

Implicit Memories

194
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
194
Storage01:23

Storage

134
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
134
Eyewitness Memory01:22

Eyewitness Memory

165
Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...
165

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相关实验视频

Updated: Sep 13, 2025

A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

11.5K

走向具有类似人类情节性记忆的大型语言模型.

Cody V Dong1, Qihong Lu2, Kenneth A Norman3

  • 1Department of Psychology, Princeton University, Princeton, NJ 08540, USA.

Trends in cognitive sciences
|July 26, 2025
PubMed
概括
此摘要是机器生成的。

本综述探讨了大型语言模型 (LLM) 如何更好地模拟人类情节性记忆 (EM). 目前的LLM很难预测EM在自然环境中的使用情况,强调需要改进的计算框架.

关键词:
人工智能的人工智能是人工智能.认知建模的认知建模认知神经科学 认知神经科学这是一种情节性记忆 (episodic memory).大型语言模型.

更多相关视频

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

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相关实验视频

Last Updated: Sep 13, 2025

A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

11.5K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

684
The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

10.9K

科学领域:

  • 认知神经科学 认知神经科学
  • 计算精神病学是一种计算精神病学.
  • 人工智能的人工智能

背景情况:

  • 插曲性记忆 (EM) 研究已经对现实世界的事件理解有了先进的理解.
  • 在计算模型中存在一个空白,用于用复杂的自然数据预测EM使用.
  • 机器学习,特别是具有外部内存的大型语言模型 (LLM),提供了潜力,但面临着与人类内存对齐的挑战.

研究的目的:

  • 审查当前增强记忆的LLM与人类情节性记忆之间的差异.
  • 提出对基准任务的标准,使人工智能模型与人类记忆保持一致.
  • 概述用于评估AI记忆模型预测的神经成像方法.

主要方法:

  • 认知神经科学和人工智能记忆研究的文献综述.
  • 分析当前的LLM架构及其内存增强技术.
  • 提出基准任务标准和神经成像评估策略的建议.

主要成果:

  • 确定了当前的LLM记忆系统和人类情节性记忆之间的关键差异.
  • 建立了开发更好地反映人类记忆的AI模型的标准.
  • 建议神经成像方法验证AI记忆预测.

结论:

  • 增强记忆的LLM显示出希望,但需要与人类情节性记忆的显著对齐.
  • 开发标准化的基准和神经成像验证对于推进人工智能记忆研究至关重要.
  • 人工智能和认知神经科学之间的桥梁可以导致更准确的人类记忆的计算模型.