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

Author:

Primavera Bryce A.12ORCID,Shainline Jeffrey M.2ORCID

Affiliation:

1. Deparment of Physics, University of Colorado Boulder, 390 UCB, Boulder 80309, Colorado, USA

2. National Institute of Standards and Technology, 325 Broadway, Boulder 80305, Colorado, USA

Funder

National Institute of Standards and Technology

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Reference56 articles.

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3. A million spiking-neuron integrated circuit with a scalable communication network and interface

4. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

5. C. Schuman , T. Potok , R. Patton , J. Birdwell , M. Dean , G. Rose , and J. Plank , “ A survey of neuromorphic computing and neural networks in hardware,” arXiv:1705.06963v1 (2017).

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2. Dendritic Learning in Superconducting Optoelectronic Networks;Proceedings of the 2023 International Conference on Neuromorphic Systems;2023-08

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4. Splitter trees of superconducting nanowire cryotrons for large fan-out;Applied Physics Letters;2023-02-27

5. Superconducting optoelectronic single-photon synapses;Nature Electronics;2022-10-06

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