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相关概念视频

Chemical Synapses01:26

Chemical Synapses

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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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Electrical Synapses01:28

Electrical Synapses

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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...
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Overview of Synapses01:25

Overview of Synapses

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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...
2.3K
Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

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Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

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When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
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System of Memory01:23

System of Memory

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Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
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相关实验视频

Updated: Jun 30, 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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一个自我振荡的有机突触用于内存双因素身份验证.

Shuzhi Liu1,2, Xiaolong Zhong1, Yuxuan Li2

  • 1Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于AI目标识别的内存双因素身份验证 (IM-2FA). 它通过将不对称加密与卷积神经网络 (ConvNets) 集成,有效地防止未经授权的访问.

关键词:
在内存中不对称的加密.在内存中使用双因素身份验证.有机突触是有机突触的组成部分.自己振荡的特征性特征.

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In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays
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相关实验视频

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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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科学领域:

  • 神经形态计算是一种神经形态计算.
  • 人工智能 (AI) 是一种人工智能.
  • 网络安全 网络安全

背景情况:

  • 人工智能2.0时代需要强大的生物灵感目标识别.
  • 目标识别系统面临劫持和未经授权访问的风险.
  • 在神经形态计算之前,预验证加密至关重要.

研究的目的:

  • 开发一种内存不对称加密方法,用于目标识别中的预验证.
  • 实施内存双因素身份验证 (IM-2FA) 战略.
  • 增强用于目标识别的卷积神经网络 (ConvNets) 的安全性.

主要方法:

  • 利用时间变化的突触规则来进行内存不对称的加密.
  • 采用单极自我振荡的突触行为进行加密,减少了外围电路的复杂性.
  • 集成加密与随后的卷积神经网络 (ConvNet) 进行目标识别.

主要成果:

  • 没有适当的加密,ConvNet对目标识别的准确性下降到0.86%以下.
  • 在适当的时间用正确的权重成功加密,使得识别率达到99.82%.
  • 证明有效地阻止非自愿访问和验证IM-2FA战略.

结论:

  • 拟议的IM-2FA战略显著提高了基于AI的目标识别的安全性.
  • 内存不对称加密有效地防止在ConvNet处理之前未经授权的访问.
  • 该系统为神经形态计算应用中的预验证提供了安全有效的解决方案.