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相关概念视频

Storage01:23

Storage

86
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Long-term Potentiation01:25

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...
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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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Mnemonic Devices01:23

Mnemonic Devices

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Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
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Neural Circuits01:25

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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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相关实验视频

Updated: Jul 9, 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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基于闪存的内容可定位存储器,具有L2距离,用于存储器增强的神经网络.

Haozhang Yang1,2, Peng Huang1,2, Ruiyi Li1,2

  • 1School of Integrated Circuits, Peking University, Beijing 100871, China.

iScience
|November 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的内容可定位记忆 (CAM) 细胞,用于在记忆增强神经网络 (MANN) 中更快,更节能的终身设备学习. 制造的芯片显著超过了GPU和现有的CAM.

关键词:
计算机架构 计算机架构计算机硬件 计算机硬件计算机科学 计算机科学神经科学是一个神经科学.

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相关实验视频

Last Updated: Jul 9, 2025

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 人工智能的人工智能

背景情况:

  • 记忆增强神经网络 (MANN) 对于终身设备学习至关重要.
  • 有效的显式内存实现对于MANN性能至关重要.
  • 内容可加址内存 (CAM) 提供内存计算,以加速内存访问.

研究的目的:

  • 提出一种具有二次编码的新型CAM单元,以提高MANN性能.
  • 为了制造和评估1Mb的基于Flash的多位CAM芯片用于Euclidean距离计算.
  • 为了证明拟议的CAM解决方案的稳定性和能源效率.

主要方法:

  • 设计和制造基于1Mb Flash的多位CAM芯片,使用二次码CAM单元.
  • 在CAM中实现欧几里德 (L2) 距离计算.
  • 对Omniglot数据集的性能评估和与三元CAM和GPU的比较.
  • 在环境压力下评估芯片的坚固性 (在200°C烤10^5秒).

主要成果:

  • 与Omniglot上的MANN的三元CAM相比,延迟 (5.3x) 和能量 (46.6x) 显著减少.
  • 在长时间暴露在高温下,识别准确度降低最小 (<1%),表明强度.
  • 与GPU相比,性能大幅提高:延迟减少471倍,搜索操作能量减少1267倍.
  • 成功制造了一个1Mb的多位CAM芯片,展示了二次代码功能.

结论:

  • 拟议的CAM单元和芯片为MANN中的显式存储提供了强大且高能效的解决方案.
  • 这项技术使终身设备机器智能的实际实施成为可能.
  • 该CAM芯片显著推进了人工智能应用内存计算的最新技术.