Programmable Neuron Array Based on a 2-Transistor Multiplier Using Organic Floating-Gate for Intelligent Sensors | IEEE Journals & Magazine | IEEE Xplore

Programmable Neuron Array Based on a 2-Transistor Multiplier Using Organic Floating-Gate for Intelligent Sensors


Abstract:

Artificial neurons are introduced for local data processing in a large area sensor device, thereby reducing multiple sensor outputs to 1-bit digital output. To reduce the...Show More

Abstract:

Artificial neurons are introduced for local data processing in a large area sensor device, thereby reducing multiple sensor outputs to 1-bit digital output. To reduce the area overhead and layout complexity due to the artificial neuron array, a 2-transistor multiplier using organic floating-gate pFET is proposed. Each artificial neuron has multiple organic floating-gate pFETs embedded in it. A virtual scalable floating-gate based memory architecture is realized for selective programming of each floating-gate pFET. Threshold voltage tuning is utilized to realize both of the positive and the negative weight values for a neuron. A flexible interface pressure monitoring device with pressure-sensitive rubber sheet is developed for pressure ulcer prevention to show the feasibility of our concept. A 50 mm2 organic sheet integrating 2×2 neuron array is fabricated with 2-V organic CMOS transistors. Selective floating-gate programming and neuron operation are successfully demonstrated.
Page(s): 81 - 91
Date of Publication: 01 December 2016

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