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PUBLICATIONS

Programmable Synapses and Dendritic Circuits for Superconducting Optoelectronic Neuromorphic Computing

Published

Author(s)

Bryce Primavera, Saeed Khan, Samuel Adler, Jeff Shainline

Abstract

Superconducting optoelectronic hardware is promising for large-scale neuromorphic computing. In this work, analog circuits combining Josephson junctions and superconducting single-photon detectors are fabricated and shown to exhibit a variety of neuromorphic functions. First, single-photon sensitive synapses are demonstrated with local programmable memory cells. The high programming speed and low programming energies of these devices make them well-suited for future implementations of online and on-chip learning. Second, dendritic circuits are presented as a first demonstration of fan-in in superconducting optoelectronic hardware. These circuits perform biologically inspired operations including spike coincidence and sequence detection that are central to both the computational abilities of dendritic arbors and plasticity operations. Together, these advances underscore the suitability of this hardware for highly parallelized on-chip learning and sophisticated neural processing.
Proceedings Title
ICONS '24: Proceedings of the 2024 International Conference on Neuromorphic Systems
Conference Dates
July 30-August 2, 2024
Conference Location
Arlington, VA, US
Pub Type
Conferences
Physics and Electronics

Citation

Primavera, B. , Khan, S. , Adler, S. and Shainline, J. (2024), Programmable Synapses and Dendritic Circuits for Superconducting Optoelectronic Neuromorphic Computing, ICONS '24: Proceedings of the 2024 International Conference on Neuromorphic Systems, Arlington, VA, US (Accessed June 29, 2024)

Issues

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Created May 3, 2024, Updated June 17, 2024