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相关概念视频

The Delta-to-Delta Circuit01:17

The Delta-to-Delta Circuit

In a delta-delta configuration, the source and the load are connected in a delta manner, forming a closed loop that divides the network into three distinct phases. This configuration makes the phase voltages identical to line voltages. Assuming the sources are in positive sequence, the phase voltages can be expressed directly without having a neutral wire.
Small-signal Diode Model01:18

Small-signal Diode Model

In analyzing the behavior of diodes in circuits, the relationship between the current through a diode and the voltage across it is of particular interest, especially when considering the effect of a direct current (DC) bias voltage. When applied, this DC bias influences the diode's operating point, known as the Q point, around which the current-voltage (I-V) characteristic of the diode exhibits exponential behavior. Introducing a small, time-varying signal on top of this bias aids in examining...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
State Space to Transfer Function01:21

State Space to Transfer Function

The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...

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相关实验视频

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Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function
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一个电路模型用于跨萨卡德空间更新和错位化.

Xiao Wang1, Sophia Tsien2, Michael E Goldberg3,4

  • 1Chengdu Fluid Dynamics Innovation Center, Chengdu, Sichuan, China.

bioRxiv : the preprint server for biology
|November 18, 2024
PubMed
概括

大脑使用一个电路模型来解释视觉刺激是如何在saccades (眼睛运动) 中重新映射的. 这个模型解释了快速眼动期间的感知稳定性和错位错误.

关键词:
有意识和无意识的解码器解码器.这是一个双阶段的萨卡德 (saccade).效力副本 效力副本 效力副本额头眼睛的眼球领域.侧面的双肩内膜区域.记忆错位的错位化感知连续性的持续性预测性重新绘制预测性重新绘制视觉运动整合.

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科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 认知科学 认知科学

背景情况:

  • 稳定的视觉世界的感知仍然存在,尽管在saccades期间有动态的视网膜图像变化.
  • 虽然持久物体看起来很稳定,但闪的刺激在萨卡德周围可能会被错误地定位,这对视觉处理来说是一个难题.

研究的目的:

  • 呈现和验证一个电路模型,用于在侧内内区域 (LIP) 和前眼场 (FEF) 中重新映射周周接收场 (RF).
  • 为了解释视觉稳定和错位现象的基础机制,在saccades期间观察到.

主要方法:

  • 建议采用一个电路模型,其中包括中心/周围连接和附带放电 (CD) 导向连接.
  • 该模型模拟了人群活动的更新,代表了跨萨卡德的刺激视网膜位置.
  • 关于重新映射大小和错位化的模型预测与实验观测进行了测试.

主要成果:

  • 该模型成功地解释了闪光刺激在萨卡德周围的前向和后向翻译错位.
  • 错位归因于由于CD定时和视觉延迟而导致神经活动更新不足或过度.
  • 实验验证证证实,在摇摆前的后期闪光会导致后摇摆后更小的前进重映射大小.

结论:

  • 一个统一的电路机制解释了受体场重映射,跨萨卡德更新和围萨卡德错位.
  • 大脑可能会使用"无意识"的解码器来处理神经活动,而不区分其来源.
  • 这些发现提供了关于视觉稳定性和眼睛运动期间空间感知神经基础的见解.