Design of Superconducting Optoelectronic Networks for Neuromorphic Computing
- Resource Type
- Conference
- Authors
- Buckley, Sonia; McCaughan, Adam N.; Chiles, Jeff; Mirin, Richard P.; Nam, Sae Woo; Shainline, Jeffrey M.; Bruer, Grant; Plank, James S.; Schuman, Catherine D.
- Source
- 2018 IEEE International Conference on Rebooting Computing (ICRC) Rebooting Computing (ICRC), 2018 IEEE International Conference on. :1-7 Nov, 2018
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Synapses
Neurons
Photonics
Neuromorphics
Hardware
Integrated circuit modeling
Optimization
- Language
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.