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20042024
most citedSuperconducting optoelectronic circuits for neuromorphic computing

206 citations · 879 across the 39 of their papers we have counts for

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10 papers · 1 filter

cs.NE2024

Relating Superconducting Optoelectronic Networks to Classical Neurodynamics

Jeffrey M. Shainline, Bryce A. Primavera, Ryan O'Loughlin

The circuits comprising superconducting optoelectronic synapses, dendrites, and neurons are described by numerically cumbersome and formally opaque coupled differential equations.…

cs.NE2022

Phenomenological Model of Superconducting Optoelectronic Loop Neurons

Jeffrey M. Shainline, Bryce A. Primavera, Saeed Khan

Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting co…

cs.NE2021★ 12 cited

An active dendritic tree can mitigate fan-in limitations in superconducting neurons

Bryce A. Primavera, Jeffrey M. Shainline

Superconducting electronic circuits have much to offer with regard to neuromorphic hardware. Superconducting quantum interference devices (SQUIDs) can serve as an active element to…

cs.NE2019

Fluxonic Processing of Photonic Synapse Events

Jeffrey M. Shainline

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 th…

cs.NE2018★ 7 cited

Superconducting Optoelectronic Neurons I: General Principles

Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan +3

The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads t…

cs.NE2018★ 4 cited

Superconducting Optoelectronic Neurons V: Networks and Scaling

Jeffrey M. Shainline, Jeff Chiles, Sonia M. Buckley +3

Networks of superconducting optoelectronic neurons are investigated for their near-term technological potential and long-term physical limitations. Networks with short average path…