Performance Analysis of a Four-neuron SET-WTA Neural Network with Lateral Inhibition and Realistic Interconnections

被引：0

作者：

Lima, Rafhael Josino ^{[1
]}

Salgueiro Costa, Paulo Henrique ^{[1
]}

Andrezo Carneiro, Vitor Gouvea ^{[1
]}

Guimaraes, Janaina Goncalves ^{[2
]}

机构：

[1] Mil Inst Engn IME, Dept Elect Engn, Rio De Janeiro, Brazil

[2] UFSC, Blumenau, Brazil

来源：

2015 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE (IMOC) | 2015年

关键词：

GSI/TSI Processor; Nanoelectronic; Single-electron transistor; Winner-take-all; Interconnection; Carbon nanotube; DEVICES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The development of processing in nanoscale chips is being threatened by the necessary miniaturization of interconnections. In this work, a RC interconnection model is implemented in order to study the electrical performance of a four-neuron SET-WTA neural network. The interconnection's influence upon the circuit behavior is analyzed, through simulations with SIMON, and interconnection-related limits for the operational frequency are established.

引用

页数：4

共 16 条

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