Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Working Memory01:24

Working Memory

127
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
127
Encoding01:19

Encoding

126
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
126
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

642
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
642
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

143
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
143
Understanding Memory01:19

Understanding Memory

249
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
249
Storage01:23

Storage

68
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...
68

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Dynamic Metabolic Profiling and Diagnostic Biomarkers of Acute Graft-Versus-Host Disease Based on Metabolomics.

Biomedical chromatography : BMC·2026
Same author

Novel tripartite <i>CPSF7</i>::<i>RARG</i>::<i>CPSF7</i> fusion confers primary ATRA resistance in atypical acute promyelocytic leukemia.

Haematologica·2026
Same author

Response to Comment on: "Novel ligand-binding domain truncated <i>CPSF7::RARA::CPSF7</i> tripartite fusion confers primary ATRA resistance in atypical acute promyelocytic leukemia".

Haematologica·2026
Same author

Bipartite <i>NUP98</i>::<i>RARA</i>-E412* fusion with a <i>cis</i>-aligned ligand binding domain truncation mutation in atypical acute promyelocytic leukemia.

Haematologica·2026
Same author

Novel ligand-binding domain truncated <i>CPSF7::RARA::CPSF7</i> tripartite fusion confers primary ATRA resistance in atypical acute promyelocytic leukemia.

Haematologica·2026
Same author

TCF3::HLF-positive B-ALL: integrated clinical and molecular characterization of 34 cases from a single-center cohort.

British journal of cancer·2026

相关实验视频

Updated: May 30, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.2K

具有短暂轨迹的循环神经网络解释了工作记忆编码机制.

Chenghao Liu1, Shuncheng Jia1,2, Hongxing Liu1,2

  • 1Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Communications biology
|January 28, 2025
PubMed
概括

本研究介绍了基于短暂轨迹的循环神经网络 (TRNN),可以更好地模拟工作记忆 (WM) 动态. TRNN在记忆任务中表现出卓越的性能,支持WM编码的短暂活动理论.

更多相关视频

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

13.9K
Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees
13:55

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Published on: July 21, 2014

12.9K

相关实验视频

Last Updated: May 30, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.2K
Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

13.9K
Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees
13:55

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Published on: July 21, 2014

12.9K

科学领域:

  • 计算神经科学是一种计算神经科学.
  • 认知建模认知建模
  • 神经网络研究神经网络研究

背景情况:

  • 工作记忆 (WM) 编码的神经机制,特别是持久与短暂的活动,仍然是争论的主题.
  • 现有的循环神经网络 (RNN) 模型通常只模拟一个活动模式,缺乏对记忆能力的直接比较.

研究的目的:

  • 开发和比较基于过渡轨迹的RNN (TRNN) 与用于模拟WM的传统RNN.
  • 提供支持WM编码的短暂活动理论的计算证据.

主要方法:

  • 构建具有生物可信特征的TRNNs:自我抑制,稀疏连接性和层次拓.
  • 在模拟工作记忆任务上,TRNN与香草RNN的比较.
  • 分析神经活动模式和任务执行.

主要成果:

  • TRNN表现出类似于动物研究中的实验记录的活动模式.
  • 在处理可变编码时间方面,TRNN表现出更强的多功能性.
  • 在延迟选择和空间记忆强化学习任务中,TRNN的表现优于香草RNN.

结论:

  • 这些发现支持过渡性活动理论来解释工作记忆机制.
  • TRNN为研究WM动态和认知功能提供了一个有前途的建模框架.