Resonant Tunneling Diode Nano-Optoelectronic Excitable Nodes for Neuromorphic Spike-Based Information Processing
نویسندگان
چکیده
In this work, we introduce an interconnected nano-optoelectronic spiking artificial neuron emitter-receiver system capable of operating at ultrafast rates (about $100\phantom{\rule{0.2em}{0ex}}\mathrm{ps}/$optical spike) and with low-energy consumption ( pJ/spike). The proposed combines excitable resonant tunneling diode (RTD) element exhibiting negative differential conductance, coupled to a nanoscale light source (forming master node) or photodetector receiver node). We study numerically the dynamical responses information propagation functionality master-receiver RTD node system. Using key pulse thresholding integration, utilize single classify sequential patterns perform convolutional for image feature (edge) recognition. also demonstrate optically neural network model processing spatiotemporal data over 10 Gbit/s high inference accuracy. Finally, off-chip supervised learning approach utilizing spike-timing-dependent plasticity RTD-enabled photonic network. These results potential viability nodes low footprint, low-energy, high-speed optoelectronic realization spike-based neuromorphic hardware.
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ژورنال
عنوان ژورنال: Physical review applied
سال: 2022
ISSN: ['2331-7043', '2331-7019']
DOI: https://doi.org/10.1103/physrevapplied.17.024072