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Accession Number:
AD1062970
Title:
Power/Area-Efficient I/O and Write Circuits for Memristor crossbar Array Based Neuromorphic Computing System
Corporate Author:
San Francisco State University San Francisco United States
Report Date:
2018-10-01
Abstract:
In this project, we designed and implemented several critical analog integrated circuit blocks to support the neuromorphic computing using memristor crossbar array. Specifically, we designed and implemented the high-speed integrate-and-fire circuit H-IFC for the energy-efficient spike-based neuromorphic computing system, and the digital-to-analog convertor DAC, the trans-impedance amplifier TIA, and the pipelined analog-to-digital convertor ADC for the high-performance level-based neuromorphic computing system using Global Foundry 0.13 microns standard CMOS technology.
Descriptive Note:
Technical Report,01 Mar 2015,30 Apr 2018
Pages:
0029
Distribution Statement:
Approved For Public Release;
File Size:
1.26MB
