A spike neuron network prototype based on RRAM Array

Yue Tang,Xiaole Cui,Chunliang Liu,Xiaoyan Xu,Jipeng Liu,Shengming Zhou,Jinfeng Kang

2016 13TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT)（2016）

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Abstract

The neuromorphic computing is an emerging paradigm for multimedia applications due to the features of massive parallelism, adaptivity to the complex input information, and its tolerance to errors. The oxide-based resistive switching device is a promising candidate to implement the synapse functions of neuron network due to the extra-low energy loss per spike. This work implements a simplified circuit system of neuromorphic visual system using the real RRAM devices with spike tuning scheme, and its capability of learning is validated.

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Key words

spike neuron network prototype,RRAM array,neuromorphic computing,complex input information adaptivity,oxide-based resistive switching device,synapse functions,simplified circuit system,neuromorphic visual system,real RRAM devices,spike tuning scheme

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