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相关概念视频

Electrical Synapses01:28

Electrical Synapses

8.1K
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...
8.1K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.1K
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....
3.1K
Overview of Synapses01:25

Overview of Synapses

2.1K
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...
2.1K
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...
934
The Synapse02:47

The Synapse

119.7K
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.
119.7K
Chemical Synapses01:26

Chemical Synapses

8.6K
Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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相关实验视频

Updated: May 13, 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

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基于二维材料的两个晶体管-两个电阻器的突触内核,用于高效的神经形态计算.

Qian He1, Hailiang Wang1, Yishu Zhang2,3

  • 1College of Integrated Circuits, Zhejiang University, Hangzhou, Zhejiang, China.

Nature communications
|May 9, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新的16x16神经形态计算内核,使用2D材料实现高效,高精度的AI. 开发的人工突触克服了整合的挑战,提高了数据密集型应用程序的性能.

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Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions
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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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相关实验视频

Last Updated: May 13, 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

7.7K
Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions
07:38

Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions

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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:

  • 材料科学 材料科学 材料科学
  • 计算机工程 计算机工程
  • 人工智能的人工智能

背景情况:

  • 神经形态计算利用2D材料在数据密集型任务中进行硬件加速.
  • 记忆器件是人工突触内核中的关键组件.
  • 2D材料整合和组件变化的挑战阻碍了大规模的神经形态系统.

研究的目的:

  • 使用2D材料开发一个可扩展的16x16神经形态计算内核.
  • 为了应对组件变化和数组级整合方面的挑战.
  • 为了提高人工智能应用的能源效率和计算性能.

主要方法:

  • 开发了一个16x16计算内核,具有两个晶体管-两个电阻器单元.
  • 利用三维异构集成来提高性能.
  • 使用ConvMixer架构实现了高斯噪声量化重量训练方案.

主要成果:

  • 证明了具有低静态度的人工突触的4位重量特征.
  • 验证了2D材料的实用性,用于单体3D异质集成.
  • 在CIFAR-10数据集上实现了图像数据集识别的高准确性.

结论:

  • 开发的突触内核显著提高了检测准确性和推断性能.
  • 这种方法验证了用于高级神经形态计算的2D材料的使用.
  • 这项研究为节能,高性能AI硬件铺平了道路.