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Area of Science:

  • Neuromorphic Engineering
  • Optoelectronics
  • Artificial Intelligence Hardware

Background:

  • Interconnectivity is crucial for neuromorphic systems, but optical synaptic links and neuron cascadability remain experimental challenges.
  • Spiking artificial neurons are key components, but integrating them optically with synaptic functionality is largely unexplored.

Purpose of the Study:

  • To experimentally demonstrate a programmable optical synaptic link for optoelectronic spiking artificial neurons.
  • To enable cascadable spike propagation and dynamic weighting in photonic neuromorphic circuits.

Main Methods:

  • Utilized resonant tunneling diodes (RTDs) in optoelectronic (OE) circuits to create spiking artificial neurons.
  • Implemented multimodal (electrical and optical) inputs for deterministic spiking.
  • Demonstrated feedforward linking with dynamically weighted optical spike signals between neurons.

Main Results:

  • Achieved deterministic spiking in RTD-based OE artificial neurons using multimodal inputs.
  • Showcased feedforward linking and cascaded spike activation between pre- and postsynaptic RTD neurons.
  • Demonstrated that postsynaptic activation probability is directly controllable by the amplitude of weighted optical spikes.

Conclusions:

  • Provided the first experimental demonstration of a programmable optical synaptic link for RTD OE spiking artificial neurons.
  • Established key functionality for photonic-electronic spiking neural networks and light-enabled neuromorphic hardware.
  • Paved the way for advanced, cascaded neuromorphic systems using optical interconnects.