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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

150
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
150
Observational Learning01:12

Observational Learning

321
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
321
Associative Learning01:27

Associative Learning

605
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...
605
Introduction to Learning01:18

Introduction to Learning

551
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
551
Neural Circuits01:25

Neural Circuits

1.6K
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...
1.6K
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

659
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
659

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

A recurrent neural network model for a decision-making task based on sequential evidence accumulation.

Cognitive neurodynamics·2026
Same author

Curative outcomes with metal-containing TCM in diabetic foot ulcers unresponsive to standard therapy: a case series.

Frontiers in endocrinology·2026
Same author

Dynamical analysis of a mean firing rate model in Parkinson's disease.

Cognitive neurodynamics·2026
Same author

Application of neurodynamics theory in the study of neural circuits in major depressive disorder: a review on neural energy approaches.

Cognitive neurodynamics·2026
Same author

BSMT1, SABP3, and MAT2 assemble into a ternary complex vital for methyl salicylate biosynthesis and airborne defense.

Molecular plant·2026
Same author

A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation.

Cyborg and bionic systems (Washington, D.C.)·2026

相关实验视频

Updated: Sep 18, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

基于结合形状-位置循环神经网络模型的视觉统计学习.

Baolong Sun1, Yihong Wang1, Xuying Xu1

  • 1Institute for Cognitive Neurodynamics, Center for Intelligent Computing, School of Mathematics, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237 China.

Cognitive neurodynamics
|June 20, 2025
PubMed
概括

视觉统计学习 (VSL) 隐式地将对象组合在一起. 一个新的神经网络模型解释了大脑是如何学习和表示这些视觉块的,显示了对块和非块刺激的独特神经反应.

科学领域:

  • 计算神经科学是一种神经科学.
  • 认知科学 认知科学
  • 视觉感知 视觉感知 视觉感知

背景情况:

  • 视觉系统隐式地学习视觉场景中的统计规律,这个过程被称为视觉统计学习 (VSL).
  • VSL可以将具有固定的属性的对象分组为"块",但其基础的计算机制尚不清楚.
  • 现有的行为研究对VSL的神经基础提供了有限的洞察力.

研究的目的:

  • 提出和评估一个解释空间视觉统计学习神经机制的计算模型.
  • 研究如何在神经网络中学习和表示块信息.
  • 模拟经典的空间VSL实验并分析神经表征.

主要方法:

  • 开发了一种结合形状-位置循环神经网络模型,模仿视觉系统的结构.
  • 该模型包括位置,形状和决策网络,用于编码和整合对象信息.
  • 模拟了一个空间VSL实验,以测试模型学习和区分刺激的能力.

主要成果:

  • 该模型成功地复制了空间VSL实验的结果.
  • 决策网络神经元显示,与"非"刺激相比",块"刺激的发射速度显著更高.
  • 位置网络神经元选择性地编码刺激距离,而形状网络神经元区分块和非块刺激,特定的神经元对特定块作出反应.
关键词:
一块块块的东西.希伯语学习 希伯语学习经常性网络网络的经常性网络.视觉统计学习学习

更多相关视频

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

729
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

650

相关实验视频

Last Updated: Sep 18, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

729
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

650

结论:

  • 拟议的神经网络模型有效地学习空间规律来区分视觉块.
  • 研究结果表明,形状网络神经元在选择性地响应碎片化信息方面发挥着至关重要的作用.
  • 这项研究为理解神经网络和空间VSL中的块表示提供了一个新的框架.