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20112023
most citedEvolution of Plastic Learning in Spiking Networks via Memristive Connections

74 citations · 327 across the 29 of their papers we have counts for

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11 papers · 1 filter

cs.ET2018

My, and others', spiking memristors are true memristors: a response to R.S. Williams' question at the New Memory Paradigms: Memristive Phenomena and Neuromorphic Applications Faraday Discussion

Ella M. Gale

At the Faraday Discussion, in the paper titled `Neuromorphic computation with spiking memristors: habituation, experimental instantiation of logic gates and a novel sequence-sensit…

cs.ET2018

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…

cs.ET2015★ 2 cited

Single Memristor Logic Gates: From NOT to a Full Adder

Ella Gale

Memristors have been suggested as a novel route to neuromorphic computing based on the similarity between them and neurons (specifically synapses and ion pumps). The d.c. action of…

cs.ET2014★ 4 cited

Uniform and Piece-wise Uniform Fields in Memristor Models

Ella Gale

The Strukov model was the phenomenological model that accompanied the announcement of the first recognised physical instantiation of the memristor and, as such, it has been widely…

cs.ET2014

Boolean Logic Gates From A Single Memristor Via Low-Level Sequential Logic

Ella Gale, Ben de Lacy Costello, Andrew Adamatzky

By using the memristor's memory to both store a bit and perform an operation with a second input bit, simple Boolean logic gates have been built with a single memristor. The operat…

cs.ET2014

Is Spiking Logic the Route to Memristor-Based Computers?

Ella Gale, Ben de Lacy Costello, Andrew Adamatzky

Memristors have been suggested as a novel route to neuromorphic computing based on the similarity between neurons (synapses and ion pumps) and memristors. The D.C. action of the me…

cs.ET2014

Connecting Spiking Neurons to a Spiking Memristor Network Changes the Memristor Dynamics

Deborah Gater, Attya Iqbal, Jeffrey Davey +1

Memristors have been suggested as neuromorphic computing elements. Spike-time dependent plasticity and the Hodgkin-Huxley model of the neuron have both been modelled effectively by…

cs.ET2014★ 1 cited

The Short-term Memory (D.C. Response) of the Memristor Demonstrates the Causes of the Memristor Frequency Effect

Ella Gale, Ben de Lacy Costello, Victor Erokhin +1

A memristor is often identified by showing its distinctive pinched hysteresis curve and testing for the effect of frequency. The hysteresis size should relate to frequency and shri…

cs.ET2013★ 64 cited

Slime Mould Memristors

Ella Gale, Andrew Adamatzky, Ben de Lacy Costello

In laboratory experiments we demonstrate that protoplasmic tubes of acellular slime mould \emph{Physarum polycephalum} show current versus voltage profiles consistent with memristi…

cs.ET2013★ 3 cited

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…

cs.ET2012★ 74 cited

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…