637 citations · 647 across the 7 of their papers we have counts for
7 papers
Artificial Dendritic Computation: The case for dendrites in neuromorphic circuits
Daniel John Mannion, Anthony Joseph Kenyon
Bio-inspired computing has focused on neuron and synapses with great success. However, the connections between these, the dendrites, also play an important role. In this paper, we…
Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware
Dovydas Joksas, AbdulAziz AlMutairi, Oscar Lee +5
In a data-driven economy, virtually all industries benefit from advances in information technology -- powerful computing systems are critically important for rapid technological pr…
Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks
Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos +4
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever-increasing computing requirements of these structures have…
Substitutional tin acceptor states in black phosphorus
Mark Wentink, Julian Gaberle, Martik Aghajanian +6
Nominally-pure black phosphorus (BP) is commonly found to be a p-type semiconductor, suggesting the ubiquitious presence of impurity species or intrinsic, charged defects. Moreover…
Brain-inspired computing: We need a master plan
Adnan Mehonic, Anthony J Kenyon
New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche…
Nanoscale plasticity and neuromorphic dynamics in silicon suboxide RRAM
Mark Buckwell, Wing Hung Ng, Daniel John Mannion +3
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the electrically driven formation and disruption of conductive filaments within an…
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran +3
Machine learning, particularly in the form of deep learning, has driven most of the recent fundamental developments in artificial intelligence. Deep learning is based on computatio…