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

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K
Entropy within the Cell01:22

Entropy within the Cell

10.6K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
10.6K
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

6.4K
The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
6.4K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.4K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.4K
PI3K/mTOR/AKT Signaling Pathway01:22

PI3K/mTOR/AKT Signaling Pathway

3.5K
The mammalian target of rapamycin  (mTOR) is a serine/threonine kinase that regulates growth, proliferation, and cell survival in response to hormones, growth factors, or nutrient availability. This kinase exists in two structurally and functionally distinct forms: mTOR complex 1  (mTORC1) and mTOR complex 2  (mTORC2). The first form (mTORC1) is composed of a rapamycin-sensitive Raptor and proline-rich Akt substrate, PRAS40. In contrast,  mTORC2 consists of a...
3.5K
The Supercomplexes in the Crista Membrane01:41

The Supercomplexes in the Crista Membrane

2.5K
The mitochondrial cristae membrane is the primary site for the oxidative phosphorylation (OXPHOS) process of energy conversion mediated through respiratory complexes I to V. These complexes have been widely studied for decades, and it has been proven that they form supramolecular structures called respiratory supercomplexes (SC). These higher-order complexes may be crucial in maintaining the biochemical structure and improving the physiological activity of the individual complexes while...
2.5K

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

Mechanistic simulation identifies predictive dose-dependent biomarkers of propofol anesthesia.

bioRxiv : the preprint server for biology·2026
Same author

Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.

bioRxiv : the preprint server for biology·2026
Same author

Impaired spatial coding and neuronal hyperactivity in the medial entorhinal cortex of aged APP knock-in mice.

Cell reports·2026
Same author

The representational geometry of emotional states in basolateral amygdala.

Nature neuroscience·2026
Same author

Anterior cingulate neurons display subregion-specific interaction with frontal eye fields revealed by anti-/orthodromic stimulation and resting-state imaging.

Journal of neurophysiology·2026
Same author

Long-term editing of brain circuits using an engineered electrical synapse.

Nature·2026
Same journal

Dynamic coordination and segregation mechanisms in higher cortex for parallel task processing.

Neuron·2026
Same journal

Higher-order thalamic bursts are drivers of attention control.

Neuron·2026
Same journal

Composing trajectories for rapid inference of navigational goals.

Neuron·2026
Same journal

Peri-head distance coding in the mouse brainstem.

Neuron·2026
Same journal

A two-timepoint framework for sensitive and specific single-cell activity screening.

Neuron·2026
Same journal

From first impressions to bonds: The neural dynamics of social relationships.

Neuron·2026
查看所有相关文章

相关实验视频

Updated: Jun 26, 2025

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

1.5K

混合选择性:为复杂性进行细胞计算.

Kay M Tye1, Earl K Miller2, Felix H Taschbach3

  • 1Salk Institute for Biological Studies, La Jolla, CA, USA; Howard Hughes Medical Institute, La Jolla, CA; Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Kavli Institute for Brain and Mind, San Diego, CA, USA.

Neuron
|May 10, 2024
PubMed
概括
此摘要是机器生成的。

这项研究解释了神经元如何实现混合选择性,响应多个变量. 神经回路中的非线性混合选择性提供了灵活性,与封闭机制动态管理信息传输.

关键词:
大脑大脑大脑的大脑大脑电路中的电路.编码 编码 编码 编码认知 认知 认知计算 计算 计算 计算门 门 门 门 这是什么意思混合选择性的选择性.通过神经调节进行神经调节.神经元神经元的神经元振荡的振荡是如何发生的

更多相关视频

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

3.7K
Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells
10:21

Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells

Published on: September 16, 2020

6.1K

相关实验视频

Last Updated: Jun 26, 2025

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

1.5K
Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

3.7K
Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells
10:21

Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells

Published on: September 16, 2020

6.1K

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.
  • 神经电路的神经电路

背景情况:

  • 神经元中的混合选择性,其中单个神经元对多种刺激做出反应,已被计算探索.
  • 了解混合选择性背后的生物学机制对于解释神经计算和灵活性至关重要.

研究的目的:

  • 为神经回路中的混合选择性提供一个生物学上有基础的,实施级的机制性解释.
  • 定义和区分纯,线性和非线性混合选择性.
  • 探索这些特性如何在简单的神经电路中产生,以及它们对信息处理的影响.

主要方法:

  • 根据响应特性 (线性与非线性) 定义和分类混合选择性.
  • 分析简单的神经电路如何产生这些独特的混合选择性形式.
  • 研究非线性混合选择性所能实现的高维表示的作用.

主要成果:

  • 呈现混合选择性的神经元对多个统计学上独立的变量做出反应.
  • 线性混合选择性涉及作为变量的加权和的反应;非线性混合选择性不.
  • 非线性混合选择性创造了高维的神经表征,为下游电路提供了灵活性.

结论:

  • 非线性混合选择性为神经计算提供了显著的灵活性.
  • 门机制,如振荡和神经调节,对于管理混合选择性的复杂性和动态选择读出电路的信息至关重要.