Design of Superconducting Optoelectronic Networks for Neuromorphic Computing

Conference · Fri Feb 01 00:00:00 EST 2019

OSTI ID:1494874

Buckley, Sonia ^[1]; McCaughan, Adam ^[1]; Chiles, Jeff ^[1]; Mirin, Richard ^[2]; Nam, Sae Woo ^[2]; Shainline, Jeffrey ^[2]; Bruer, Grant ^[3]; Plank, James ^[3]; Schuman, Catherine D.  ^[4]

---

1. National Institute of Standards and Technology (NIST)
2. National Institute of Standards and Technology (NIST), Boulder
3. University of Tennessee (UT)
4. ORNL

We have previously proposed a novel hardware platform (SOEN) for neuromorphic computing based on superconducting optoelectronics that presents many of the features necessary for information processing in the brain. Here we discuss the design and training of networks of neurons and synapses based on this technology. We present circuit models for the simplest neurons and synapses that we can use to build networks. We discuss the further abstracted integrate and fire model that we use for evolutionary optimization of small networks of these neurons. We show that we can use the TENNLab evolutionary optimization programming framework to design small networks for logic, control and classification tasks. We plan to use the results as feedback to inform our neuron design.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1494874
• Resource Relation: Conference: 2018 IEEE International Conference on Rebooting Computing (ICRC) - McLean, Virginia, United States of America - 11/7/2018 5:00:00 AM-11/9/2018 5:00:00 AM
• Country of Publication: United States
• Language: English