74 citations · 111 across the 8 of their papers we have counts for
8 papers
Spiking memristor logic gates are a type of time-variant perceptron
Ella M. Gale
Memristors are low-power memory-holding resistors thought to be useful for neuromophic computing, which can compute via spike-interactions mediated through the device's short-term…
Self-assembled monolayer molecule dynamics are perturbed by surface- and surrounding monolayer-derived geometrical confinement
Ella M Gale
The surface a thin-film is attached to and the surrounding monolayer causes geometrical confinement of a interrogated molecule; we look at the base case of a SC in a S…
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…
Comparison of Ant-Inspired Gatherer Allocation Approaches using Memristor-Based Environmental Models
Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
Memristors are used to compare three gathering techniques in an already-mapped environment where resource locations are known. The All Site model, which apportions gatherers based…
Beyond Markov Chains, Towards Adaptive Memristor Network-based Music Generation
Ella Gale, Oliver Matthews, Ben de Lacy Costello +1
We undertook a study of the use of a memristor network for music generation, making use of the memristor's memory to go beyond the Markov hypothesis. Seed transition matrices are c…
Evolution of Plastic Learning in Spiking Networks via Memristive Connections
Gerard Howard, Ella Gale, Larry Bull +2
This article presents a spiking neuroevolutionary system which implements memristors as plastic connections, i.e. whose weights can vary during a trial. The evolutionary design pro…