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

Storage01:23

Storage

84
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...
84
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

203
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...
203
System of Memory01:23

System of Memory

5.6K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
5.6K
Sensory Memory01:14

Sensory Memory

207
Sensory memory captures information from the environment in its original form for a very brief duration, just long enough to be exposed to visual, auditory, and other senses. This type of memory is detailed and rich but quickly lost unless certain strategies are employed to transfer it into short-term or long-term memory. Sensory information is continuously bombarding the human brain, yet only a small fraction is absorbed, as most of it does not significantly impact daily life. For instance,...
207
Associative Learning01:27

Associative Learning

350
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
350
Neural Circuits01:25

Neural Circuits

1.2K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.2K

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

Dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans.

Brain stimulation·2026
Same author

Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition.

Biological cybernetics·2026
Same author

Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires.

Neural computation·2025
Same author

Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy.

Neural computation·2025
Same author

Dopamine encodes deep network teaching signals for individual learning trajectories.

Cell·2025
Same author

Response of Neuronal Populations to Phase-Locked Stimulation: Model-Based Predictions and Validation.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

Distributionally Robust Feature Selection.

Advances in neural information processing systems·2026
Same journal

On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution.

Advances in neural information processing systems·2026
Same journal

Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time.

Advances in neural information processing systems·2026
Same journal

JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics.

Advances in neural information processing systems·2026
Same journal

Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction.

Advances in neural information processing systems·2026
Same journal

Emergence and Evolution of Interpretable Concepts in Diffusion Models.

Advances in neural information processing systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2025

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

34.0K

具有时间预测编码的序列记忆.

Mufeng Tang1, Helen Barron1, Rafal Bogacz1

  • 1MRC Brain Network Dynamics Unit, University of Oxford, UK.

Advances in neural information processing systems
|April 12, 2024
PubMed
概括
此摘要是机器生成的。

我们介绍了时间预测编码 (tPC),这是一个用于准确序列记忆的新型模型. 这种生物学上可信的神经网络提供了稳定的性能,并与神经科学观察一致.

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

14.0K
The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

7.0K

相关实验视频

Last Updated: Jun 28, 2025

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

34.0K
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

14.0K
The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

7.0K

科学领域:

  • 计算神经科学是一种神经科学.
  • 认知神经科学 认知神经科学
  • 机器学习 机器学习

背景情况:

  • 对连续刺激的准确记忆对于生物药物来说至关重要.
  • 大脑对顺序记忆的计算机制在很大程度上是未知的.
  • 预测编码 (PC) 已经在静态内存任务中取得了成功.

研究的目的:

  • 为序列记忆提出一种基于编码的新型预测模型.
  • 为了研究连续记忆背后的计算机制.
  • 提高对生物记忆系统的理解.

主要方法:

  • 开发一种新的时间预测编码 (tPC) 模型.
  • 生物可信的神经实现的tPC模型.
  • 分析性研究比较tPC与经典非对称霍普菲尔德网络 (AHN).

主要成果:

  • 该tPC模型准确地记忆和检索顺序输入.
  • 由于隐含的统计白化,tPC表现稳定,特别是在结构化输入方面.
  • tPC表现出与行为和神经科学发现相一致的特性.

结论:

  • 时间预测编码 (tPC) 为大脑中的顺序记忆提供了一个可行的计算机制.
  • tPC模型提供了预测编码框架和现有的内存模型 (如AHN) 之间的联系.
  • 这项工作促进了对连续记忆的神经计算及其生物相关性的理解.