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相关概念视频

Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Neuron Structure01:31

Neuron Structure

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Overview
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Neuron Structure01:30

Neuron Structure

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Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
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Neurons: The Axon01:21

Neurons: The Axon

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Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment....
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Neuronal Communication01:28

Neuronal Communication

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Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

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To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
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相关实验视频

Updated: Jan 25, 2026

In Vivo Calcium Imaging of Neuronal Ensembles in Networks of Primary Sensory Neurons in Intact Trigeminal Ganglia
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使用深度生成网络演变视觉神经元图像揭示了编码原理和神经元偏好

Carlos R Ponce1, Will Xiao2, Peter F Schade3

  • 1Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.

Cell
|May 4, 2019
PubMed
概括

科学家通过生成深度神经网络和遗传算法来探索视觉神经元编码的内容. 这揭示了复杂的合成图像, 代表了大脑中的新特征,

关键词:
产生性对抗性网络下皮层神经网络

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Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
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科学领域:

  • 神经科学
  • 计算神经科学
  • 计算机视觉

背景情况:

  • 视觉系统必须使用有限数量的神经元来表示无限数量的真实世界图像.
  • 了解视觉神经元所编码的特征对于破译大脑功能至关重要.

研究的目的:

  • 在没有关于特征或语义类别的先验假设的情况下,研究下皮层的神经元选择性.
  • 探索生成深度神经网络的假设空间, 发现视觉神经元编码的内容.

主要方法:

  • 使用生成深度神经网络来模拟可能的视觉刺激的广空间.
  • 使用遗传算法寻找刺激最大限度地激活子下皮层中的神经元.
  • 产生复杂的合成图像, 代表进化的特征.

主要成果:

  • 演化的合成图像展示了复杂的形状,颜色和纹理组合.
  • 一些进化图像类似于已知的物体,如动物或人,而另一些则代表了新的模式.
  • 识别了没有映射到清晰语义类别的特征,这表明特征集比以前假设的更丰富.

结论:

  • 这些发现扩大了皮层所编码的已知特征词典.
  • 生成模型和遗传算法方法为揭示神经系统中的内部表示提供了强大的方法.
  • 这种方法可用于理解任何适用于生成模型的系统中的表示.