- By:
- Maldonado Puente, Bryan P; Kaul, Brian C; Young, Aaron R; Witherspoon, Charles B
- Page Number:
- 1-8
- Book Title:
- 2025 Neuro Inspired Computational Elements (NICE)
- Publication Date:
- March 12, 2026
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- Neuro Inspired Computational Elements Conference (NICE)
- Conference Location:
- Heidelberg, Germany
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1109/NICE65350.2025.11065602
Abstract
Neuromorphic computing systems are attractive for real-time control at the edge because of their low power operation, real-time processing capabilities and their potential ability to do online learning. In this work, we describe an approach for performing real-time evolution of spiking neural networks for neuromorphic systems at the edge called Neuromorphic Optimization using Dynamic Evolutionary Systems or NODES. We apply this approach to real-time combustion engine control and develop an engine-specific hardware platform for NODES called FireBox. We demonstrate how the real-time evolution approach works in simulation and the performance of networks trained in simulation on the physical engine.
