Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness
Conference paper · International Conference on Neuromorphic Systems (ICONS ’26)
Research identity
Catherine is a PhD student in Computer Science whose research focuses on neuromorphic computing and evolutionary computation. She is particularly interested in developing and evolving spiking neural networks to better understand how these systems can learn, adapt, and solve complex problems. Her current work explores methods for improving the scalability and effectiveness of evolved spiking neural networks across different problem domains.
Neuromorphic computingEvolutionary computationSpiking neural networks