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相关概念视频

Neural Circuits01:25

Neural Circuits

2.8K
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...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Per-Unit Sequence Models01:26

Per-Unit Sequence Models

451
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...
451
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

11.8K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Second-Order Circuits01:17

Second-Order Circuits

3.6K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
3.6K

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相关实验视频

Updated: Feb 6, 2026

Recordings of Neural Circuit Activation in Freely Behaving Animals
08:53

Recordings of Neural Circuit Activation in Freely Behaving Animals

Published on: July 22, 2009

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基于吸引器的模型用于神经电路中的序列和模式生成.

Juliana Londono Alvarez1, Katherine Morrison2, Carina Curto3

  • 1Department of Mathematics, Pennsylvania State University, University Park, PA 16802, USA juliana_londono_alvarez@brown.edu.

Neural computation
|February 4, 2026
PubMed
概括
此摘要是机器生成的。

吸引神经网络现在可以产生节奏模式,就像中央模式生成器 (CPG) 电路中的那样. 这个新的框架将模式生成和分类统一在一个单一的模型中,使不同电机模式之间的过渡成为可能.

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Revealing Neural Circuit Topography in Multi-Color
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Revealing Neural Circuit Topography in Multi-Color

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Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice
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Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice

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相关实验视频

Last Updated: Feb 6, 2026

Recordings of Neural Circuit Activation in Freely Behaving Animals
08:53

Recordings of Neural Circuit Activation in Freely Behaving Animals

Published on: July 22, 2009

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Revealing Neural Circuit Topography in Multi-Color
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Revealing Neural Circuit Topography in Multi-Color

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Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice
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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.
  • 理论神经科学 理论神经科学

背景情况:

  • 神经回路对于运动和呼吸等功能至关重要,通常涉及节奏活动.
  • 传统模型使用合振荡器来产生节奏,以及吸引器网络来分类模式.
  • 现有的模型努力统一这些独特的神经功能.

研究的目的:

  • 为基于吸引子的神经网络提供统一的理论框架.
  • 展示吸引器网络如何产生各种节奏模式,包括中央模式生成器电路 (CPG) 的节奏模式.
  • 提出一种模式转换和序列生成的机制.

主要方法:

  • 开发了一个使用值线性网络的理论框架.
  • 构建了一个由两个不同的模块组成的网络:一个对应网络 (固定点) 和一个机动网络 (限制周期).
  • 引入了一种新的分层网络架构,产生融合吸引器来连接网络模块.

主要成果:

  • 证明了以吸引器为基础的网络可以产生多样化的节奏模式.
  • 展示了一种能够通过五种不同的四足步态进行测序的网络.
  • 成功将一个反网络连接到一个机车网络,以实现连续的步态转换.

结论:

  • 吸引器网络为模式分类和节奏模式生成提供了统一的框架.
  • 拟议的分层架构和融合吸引器能够实现复杂的顺序行为,比如四足运动.
  • 这项工作推进了神经功能的计算模型,弥合了以前单独的建模方法.