Enabling an integrated rate-temporal learning scheme on memristor

• Main Authors: HE, Wei, HUANG, Kejie, NING, Ning, RAMANATHAN, Kiruthika, LI, Guoqi, JIANG, Yu, SZE, JiaYin, SHI, Luping, ZHAO, Rong, PEI, Jing
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2013
• 主題: memristor; neuromorphic; cognitive computing; Databases and Information Systems; Electrical and Computer Engineering
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/7266; https://ink.library.smu.edu.sg/context/sis_research/article/8269/viewcontent/srep04755.pdf
• 機構: Singapore Management University

Learning scheme is the key to the utilization of spike-based computation and the emulation of neural/synaptic behaviors toward realization of cognition. The biological observations reveal an integrated spike time- and spike rate-dependent plasticity as a function of presynaptic firing frequency. How...