Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processing

In-sensor and near-sensor computing are becoming the next-generation computing paradigm for high-density and low-power sensory processing. To fulfil a high-density and efficient neuromorphic visual system with fully hierarchical emulation of the retina and visual cortex, emerging multimodal neuromorphic devices for multi-stage processing and a fully hardware-implemented system with versatile image processing functions are still lacking and highly desirable. Here we demonstrate an emerging multimodal-multifunctional resistive random-access memory (RRAM) device array based on modified silk fibroin protein (MSFP), exhibiting both optoelectronic RRAM (ORRAM) mode featured by unique negative and positive…

• NN
  National Natural Science Foundation of China

  Awards: 62174074, 52273246, 62076207, 62076208, U20A20227, 62274081, 62104091
• NS
  Natural Science Foundation of Guangdong Province

  Award: 2022A1515011064
• SU
  Southern University of Science and Technology
• SF
  Shenzhen Fundamental Research Program

  Award: JCYJ20220530115204009
• FR
  Fundamental Research Funds for the Central Universities

  Awards: SWU020019, U20A20227