Optoelectronic Synapse for Neuromorphic Computing

Technology #11593

Key Points

  • Hybrid material acts as an optoelectronic synapse for neuromorphic computing
  • Good photonic memory without the need for an external gate voltage
  • Requires only low light intensity to achieve a significant increase in light response and photonic memory


The University of Central Florida invention is a method to grow organic‐inorganic halide perovskite quantum dots (PQDs) directly on multi‐wall CNTs (MWCNTs) to increase the photosensitivity of optoelectronic synapses. The perovskite quantum dot-multiwall carbon nanotube (PQD‐MWCNT) hybrid material acts as an optoelectronic synapse for optoelectronic neuromorphic computing. Brain-inspired (neuromorphic) computing offers lower energy consumption and parallelism (simultaneous processing and memorizing) and provides excellent opportunities in many computational tasks ranging from image recognition to speech processing. To accomplish neuromorphic computing, highly efficient optoelectronic synapses, which can be the building blocks of optoelectronic neuromorphic computers, are necessary.