Fluxonic processing of photonic synapse events

Published

January 1, 2020

Author(s)

Jeffrey M. Shainline

Abstract

Much of the information processing performed by a neuron occurs in the dendritic tree. For neural systems using light for communication, it is advantageous to convert signals to the electronic domain at synaptic terminals so dendritic computation can be performed with electrical circuits. Here we present circuits based on Josephson junctions and mutual inductors that act as dendrites, processing signals from synapses receiving single-photon communication events with superconducting detectors. We show simulations of circuits performing basic temporal filtering, logical operations, and nonlinear transfer functions. We further show how the synaptic signal from a single-photon can fan out locally in the electronic domain to enable the dendrites of the receiving neuron to process a photonic synapse event or pulse train in multiple different ways simultaneously. Such a technique makes efficient use of photons, energy, space, and information.

Citation

IEEE Journal of Selected Topics in Quantum Electronics

Volume

26

Issue

1

Pub Type

Journals

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Keywords

superconducting electronics, neural computing

Citation

Shainline, J. (2020), Fluxonic processing of photonic synapse events, IEEE Journal of Selected Topics in Quantum Electronics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927872 (Accessed October 12, 2024)