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相关概念视频

Neural Circuits01:25

Neural Circuits

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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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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Neurogenesis and Regeneration of Nervous Tissue01:15

Neurogenesis and Regeneration of Nervous Tissue

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In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
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Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

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Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
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Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

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Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...
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Inductive Reasoning00:59

Inductive Reasoning

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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...
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相关实验视频

Updated: Jun 29, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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在主动推理中神经表示:使用生成模型与生活的世界互动并理解它.

Giovanni Pezzulo1, Leo D'Amato1,2, Francesco Mannella1

  • 1Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Annals of the New York Academy of Sciences
|March 26, 2024
PubMed
概括

生物在主动推理中使用生成模型来最大限度地减少预测错误,从而实现自适应导航,而不仅仅是理解. 这个框架将生成模型与神经表征和认知进化联系起来.

关键词:
面向行动的模式是以行动为导向的.积极的推理推理.显式模型 显式模型生成型模型的生成型模型.神经代表的神经表示.预测编码的预测编码.

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

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相关实验视频

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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 计算生物学 计算生物学

背景情况:

  • 积极推断为大脑功能提供了一个规范框架.
  • 生物利用生成模型来最大限度地减少预测错误,由变量自由能量量化.
  • 生成模型对于适应性行为和了解世界至关重要.

研究的目的:

  • 通过积极推断的透视来探索神经表征.
  • 分析生成模型在自适应导航和认知过程中的作用.
  • 阐明生成模型,信念动态和神经表示之间的联系.

主要方法:

  • 积极推断和生成模型的概念分析.
  • 检查生物系统中的变量自由能量最小化.
  • 探索不同类型的生成模型 (行动感知,规划,想象力).

主要成果:

  • 生成模型是为了适应性导航而学习的,而不仅仅是为了理解.
  • 不同的生成模型支持各种认知功能,从行动感知到计划.
  • 生成模型和信念动态与神经表达和认知能力有关.

结论:

  • 生成模型在认知和神经表征的演变中发挥着不同的作用.
  • 生产模型的类型会影响一个代理在其生态内的认知能力.
  • 关于生成模型和高级认知的演变,仍然存在一些悬而未决的问题.