Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing
CoRR(2024)
摘要
We report a multi-modal spiking neuron that allows optical and electronic
input and control, and wavelength-multiplexing operation, for use in novel
high-speed neuromorphic sensing and computing functionalities. The
photonic-electronic neuron is built with a micro-scale, nanostructure resonant
tunnelling diode (RTD) with photodetection (PD) capability. Leveraging the
advantageous intrinsic properties of this RTD-PD system, namely highly
nonlinear characteristics, photo-sensitivity, light-induced I-V curve shift,
and the ability to deliver excitable responses under electrical and optical
inputs, we successfully achieve flexible neuromorphic spike activation and
inhibition regimes through photonic-electrical control. We also demonstrate the
ability of this RTD-PD spiking sensing-processing neuron to operate under the
simultaneous arrival of multiple wavelength-multiplexed optical signals, due to
its large photodetection spectral window (covering the 1310 and 1550 nm telecom
wavelength bands). Our results highlight the potential of RTD
photonic-electronic neurons to reproduce multiple key excitatory and inhibitory
spiking regimes, at high speed (ns-rate spiking responses, with faster sub-ns
regimes theoretically predicted) and low energy (requiring only 10 mV and 150
microW, electrical and optical input amplitudes, respectively), similar in
nature to those commonly found in the biological neurons of the visual system
and the brain. This work offers a highly promising approach for the realisation
of high-speed, energy-efficient photonic-electronic spiking neurons and spiking
neural networks, enabling multi-modal and multi-wavelength operation for
sensing and information processing tasks. This work therefore paves the way for
innovative high-speed, photonic-electronic, and spike-based neuromorphic
sensing and computing systems and artificial intelligence hardware.
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