Evolving Unipolar Memristor Spiking Neural Networks

no code implementations • 1 Sep 2015 • 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.

Evolving Spiking Networks with Variable Resistive Memories

no code implementations • 17 May 2015 • Gerard David Howard, Larry Bull, Ben De Lacy Costello, Andrew Adamatzky, Ella Gale

Variable resistive memories are the focus of this research; each synapse has its own conductance profile which modifies the plastic behaviour of the device and may be altered during evolution.

Is Spiking Logic the Route to Memristor-Based Computers?

no code implementations • 17 Feb 2014 • 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.

Does the D.C. Response of Memristors Allow Robotic Short-Term Memory and a Possible Route to Artificial Time Perception?

no code implementations • 17 Feb 2014 • Ella Gale, Ben de Lacy Costello, Andrew Adamatzky

Time perception is essential for task switching, and in the mammalian brain appears alongside other processes.