74 citations · 446 across the 50 of their papers we have counts for
5 papers · 1 filter
Evolving Unipolar Memristor Spiking Neural Networks
David Howard, Larry Bull, Ben De Lacy Costello
Neuromorphic computing --- brainlike computing in hardware --- typically requires myriad CMOS spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristo…
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers
David Howard, Larry Bull, Pier-Luca Lanzi
Learning Classifier Systems (LCS) are population-based reinforcement learners that were originally designed to model various cognitive phenomena. This paper presents an explicitly…
On Design Mining: Coevolution and Surrogate Models
Richard J. Preen, Larry Bull
Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototypi…
Evolving Spiking Networks with Variable Resistive Memories
Gerard David Howard, Larry Bull, Ben de Lacy Costello +2
Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plas…
Evolving Boolean Networks with RNA Editing
Larry Bull
The editing of transcribed RNA by other molecules such that the form of the final product differs from that specified in the corresponding DNA sequence is ubiquitous. This paper us…