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

摘要

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.