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Author Najari, Montassar ♦ El-Grour, Tarek ♦ Jelliti, Sami ♦ Hakami, Othman Mousa
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword NANOSCIENCE AND NANOTECHNOLOGY ♦ BIOPHYSICS ♦ CAPACITY ♦ CARBON NANOTUBES ♦ EFFICIENCY ♦ EQUIPMENT ♦ MEMBRANES ♦ SEMICONDUCTOR MATERIALS ♦ SILICON ♦ SIMULATION ♦ TRANSISTORS
Abstract Neuromorphic engineering is related to the existing analogies between the physical semiconductor VLSI (Very Large Scale Integration) and biophysics. Neuromorphic systems propose to reproduce the structure and function of biological neural systems for transferring their calculation capacity on silicon. Since the innovative research of Carver Mead, the neuromorphic engineering continues to emerge remarkable implementation of biological system. This work presents a simulation of an elementary neuron cell with a carbon nanotube transistor (CNTFET) based technology. The model of the cell neuron which was simulated is called integrate and fire (I&F) model firstly introduced by G. Indiveri in 2009. This circuit has been simulated with CNTFET technology using ADS environment to verify the neuromorphic activities in terms of membrane potential. This work has demonstrated the efficiency of this emergent device; i.e CNTFET on the design of such architecture in terms of power consumption and technology integration density.
ISSN 0094243X
Educational Use Research
Learning Resource Type Article
Publisher Date 2016-06-10
Publisher Place United States
Volume Number 1742
Issue Number 1


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