Chris Eliasmith

An adaptive spiking neural controller for flapping insect-scale robots

2017

Insect-scale flapping robots are challenging to stabilize due to their fast dynamics, unmodeled parameter variations, and the periodic nature of their control input. Effective controller designs must tolerate wing asymmetries that occur due to manufacturing …

Bridging Cognitive Architectures and Generative Models with Vector Symbolic Algebras

2024 · Proceedings of the AAAI Symposium Series

Recent developments in generative models have demonstrated that with the right data set, techniques, computational infrastructure, and network architectures, it is possible to generate seemingly intelligent outputs, without explicitly reckoning with underlying cognitive processes. The …