神經(jīng)形態(tài)器件現(xiàn)狀與未來
發(fā)布時間:2018-06-18 17:23
本文選題:類腦計算 + 神經(jīng)網(wǎng)絡(luò); 參考:《國防科技》2016年06期
【摘要】:為解決現(xiàn)有馮·諾依曼計算機面臨的低智能、高能耗、低容錯等問題,"類腦計算"應運而生。"類腦計算"借鑒大腦的體系結(jié)構(gòu)和信息處理方式,基于神經(jīng)形態(tài)器件構(gòu)建邏輯與存儲相融合的計算硬件,旨在實現(xiàn)更為靈活和智能的信息處理與計算模式。在闡述"類腦計算"起源與發(fā)展現(xiàn)狀的基礎(chǔ)上,研究了人腦神經(jīng)網(wǎng)絡(luò)信息處理機制,重點介紹了神經(jīng)形態(tài)器件的研發(fā)態(tài)勢。神經(jīng)形態(tài)器件作為類腦計算芯片和系統(tǒng)的基本組成單元,對于類腦智能的實現(xiàn)至關(guān)重要,因此研發(fā)能夠高精度模擬生物突觸、神經(jīng)元信息處理功能的微納器件是當前的研究熱點。
[Abstract]:In order to solve the problems of low intelligence, high energy consumption and low fault tolerance faced by Von Neumann computer, "brain-like computing" came into being. In order to realize a more flexible and intelligent information processing and computing mode, brain-like computing "refers to the system structure and information processing mode of the brain, and constructs the computing hardware based on neural morphological devices to combine logic with storage." On the basis of expounding the origin and development of "brain like computing", the information processing mechanism of human brain neural network is studied, and the research and development trend of neural morphological devices is introduced emphatically. As the basic components of brain-like computing chips and systems, neuromorphic devices are very important for the realization of brain-like intelligence, so they can be developed to simulate biological synapses with high precision. The micro-nano devices with neuron information processing function are the focus of current research.
【作者單位】: 北京大學信息科學技術(shù)學院;
【分類號】:R318;TP183
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本文編號:2036295
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