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相关概念视频

Neural Circuits01:25

Neural Circuits

1.2K
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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The Synapse02:47

The Synapse

124.9K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
124.9K
Electrical Synapses01:28

Electrical Synapses

8.3K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
8.3K
Semiconductors01:22

Semiconductors

690
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
690
Neuronal Communication01:28

Neuronal Communication

849
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...
849
Overview of Synapses01:25

Overview of Synapses

2.3K
A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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相关实验视频

Updated: Jun 27, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

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SemiSynBio:神经形态计算的新时代

Ruicun Liu1, Tuoyu Liu1, Wuge Liu1

  • 1State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, 100071, China.

Synthetic and systems biotechnology
|May 7, 2024
PubMed
概括

合成神经形态计算利用DNA生物分子为人工神经网络 (ANN),使分子级处理成为可能. 这种方法推进了生物计算和人工智能应用.

关键词:
人工智能的人工智能是人工智能.生物计算是一种生物计算.神经形态计算是一种神经形态计算.神经形态遗传电路的神经形态遗传电路合成生物学 合成生物学

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

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相关实验视频

Last Updated: Jun 27, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.8K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
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科学领域:

  • 生物计算是一种生物计算.
  • 合成生物学 合成生物学
  • 神经形态工程的神经形态工程

背景情况:

  • 神经形态计算提供了适应性学习和并行处理,这对下一代人工智能至关重要.
  • 合成生物学的进步正在推动新的半导体合成生物学 (SemiSynBio) 技术.
  • DNA生物分子可以充当逻辑门,使分子级计算成为可能.

研究的目的:

  • 概述神经形态计算的原理.
  • 描述DNA计算的进步,特别是合成神经形态计算.
  • 总结合成神经形态计算的挑战和前景.

主要方法:

  • 对神经形态计算原理的审查.
  • 对合成神经形态应用的DNA计算进步的分析.
  • 合成神经形态电路结构的探索.

主要成果:

  • DNA生物分子可以被设计为人工神经网络 (ANN) 的逻辑门.
  • 合成神经形态计算为分子级AI处理提供了一条途径.
  • 这项研究强调了将DNA计算与AI集成的潜力.

结论:

  • 构建合成的神经形态电路是实现分子级神经形态计算的关键一步.
  • 这项技术在生物计算,DNA数据存储,信息安全和国防方面具有广泛的应用.
  • 对合成神经形态计算的进一步研究对于释放其全部潜力至关重要.