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

Per-Unit Sequence Models01:26

Per-Unit Sequence Models

71
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
71
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Observational Learning01:12

Observational Learning

131
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...
131
Associative Learning01:27

Associative Learning

288
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...
288
Inductive Reasoning00:59

Inductive Reasoning

60.0K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
60.0K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

96
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
96

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

Exposure to false cardiac feedback alters pain perception and anticipatory cardiac frequency.

eLife·2026
Same author

Scale-invariant evolution: Comment on "homo informatio" by Michael Walker.

Physics of life reviews·2026
Same author

Gaze dynamics prior to navigation support hierarchical planning.

PloS one·2026
Same author

Testing and tracking in the UK: A dynamic causal modelling study.

Wellcome open research·2026
Same author

The body does not keep the score: trauma, predictive coding, and the restoration of metastability.

Frontiers in systems neuroscience·2026
Same author

The dysconnection hypothesis of schizophrenia: a 30-year update.

World psychiatry : official journal of the World Psychiatric Association (WPA)·2026
Same journal

HF-SNVTA-FusionNet: high-frequency multi-domain EEG feature fusion from the substantia nigra and ventral tegmental area for Parkinson's disease classification.

Cognitive neurodynamics·2026
Same journal

Investigation of the effects of balance exercises on visuospatial skills using EEG brain oscillations.

Cognitive neurodynamics·2026
Same journal

MSCANet: a cross-attention-based multi-scale convolutional fusion neural network for EEG motor imagery classification.

Cognitive neurodynamics·2026
Same journal

Regulation of epileptiform discharges in thalamocortical model based on preview control theory.

Cognitive neurodynamics·2026
Same journal

Computational modeling of tyrosine hydroxylase pathway for dopamine synthesis in nerve cells: effect of tetrahydrobiopterin deficiency and oxidative stress.

Cognitive neurodynamics·2026
Same journal

From nonlinear neuronal dynamics to AI-optimized VLSI hardware: multiplier-free FPGA implementation of memristive FN-HR coupled neural networks for intelligent systems.

Cognitive neurodynamics·2026
查看所有相关文章

相关实验视频

Updated: Jun 4, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

对于主动推理中的顺序动态的生成模型.

Thomas Parr1, Karl Friston1, Giovanni Pezzulo2

  • 1Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, London, UK.

Cognitive neurodynamics
|December 23, 2024
PubMed
概括
此摘要是机器生成的。

大脑使用主动推断和生成模型处理序列. 这种方法通过建模如何从连续的神经活动中出现离散序列来解释语言和运动控制等认知操作.

关键词:
积极的推断推断是积极的推断.贝叶斯语 贝叶斯语 贝叶斯语 贝叶斯语生成型模型是一种生成型模型.顺序动力学是指顺序动力学.变量变量是一个变量.

更多相关视频

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

8.4K
Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.6K

相关实验视频

Last Updated: Jun 4, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K
The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

8.4K
Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.6K

科学领域:

  • 理论神经生物学 理论神经生物学
  • 计算神经科学是一种计算神经科学.
  • 认知科学是一种认知科学.

背景情况:

  • 认知操作依赖于处理离散序列.
  • 神经元动态是序列处理的基础.
  • 积极推断为理解预测性大脑功能提供了一个框架.

研究的目的:

  • 用积极推理来解释连续的大脑处理.
  • 为了证明生成模型如何考虑序列处理.
  • 将连续的神经元动态与离散的认知操作联系起来.

主要方法:

  • 使用主动推理原则.
  • 开发感知世界的生成模型.
  • 将模型应用于运动控制,感知和语言.

主要成果:

  • 包含序列的生成模型解释了序列性大脑处理.
  • 积极推断解释了认知中的离散序列.
  • 在手写,鸟歌识别和语言方面展示了应用.

结论:

  • 积极推断为连续的大脑处理提供了一个统一的框架.
  • 有序的生成模型是理解认知的关键.
  • 这种方法弥合了连续的神经动态和离散的认知功能.