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相关概念视频

Understanding Memory01:19

Understanding Memory

641
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
641
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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MOS Capacitor01:25

MOS Capacitor

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A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
990
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

975
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...
975
Implicit Memories01:24

Implicit Memories

196
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
196
Mnemonic Devices01:23

Mnemonic Devices

188
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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相关实验视频

Updated: Sep 17, 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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一个接近值的内存计算内存引擎,用于边缘智能.

Linfang Wang1,2, Weizeng Li1,3, Zhidao Zhou1,3

  • 1State Key Lab of Fabrication Technologies for Integrated Circuits, Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China.

Nature communications
|July 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种用于边缘设备的新型内存计算引擎. 它通过使用内在的memristor变体和先进技术克服了可扩展性挑战,实现了高性能和能源效率.

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相关实验视频

Last Updated: Sep 17, 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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A Method for Growing Bio-memristors from Slime Mold
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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
  • 电气工程 电气工程

背景情况:

  • 非传统的计算范式,如内存计算和接近值计算,为边缘设备提供了更高的能源效率和实时性能.
  • 这些范式的可扩展性受到过程变化的阻碍,限制了它们的实际应用.

研究的目的:

  • 开发和演示一个可扩展的1Mb,16宏接近值的memristive计算内存引擎.
  • 通过创新的电路设计和补偿技术来应对过程变化挑战.

主要方法:

  • 使用了具有高电流调制能力 (>120倍电阻比) 的两晶体管-一电阻电池.
  • 通过利用内在的memristor变化来缓解晶体管不匹配.
  • 实施了电荷堆叠技术,以实现高效的模拟重量和组合操作.
  • 引入了一种跨宏混合控制方案,以减少推断能力.

主要成果:

  • 制造的芯片在256个输入通道中执行高度并行的模拟计算,变化很小 (2.4%的相对标准偏差).
  • 实现了每秒10.49特拉操作的峰值吞吐量.
  • 证明了高达每瓦每秒88.51特拉操作的特殊能效.

结论:

  • 开发的记忆式内存计算引擎有效地克服了由过程变化引起的可扩展性限制.
  • 这项工作为更节能,更高性能边缘计算应用铺平了道路.