21 citations · 48 across the 12 of their papers we have counts for
13 papers
Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
Mike Smart, Sachin Maheshwari, Himadri Singh Raghav +1
Dual Tree Single Clock (DTSC) Adiabatic Capacitive Neuron (ACN) circuits offer the potential for highly energy-efficient Artificial Neural Network (ANN) computation in full custom…
Adiabatic Capacitive Neuron: An Energy-Efficient Functional Unit for Artificial Neural Networks
Sachin Maheshwari, Mike Smart, Himadri Singh Raghav +2
This paper introduces a new, highly energy-efficient, Adiabatic Capacitive Neuron (ACN) hardware implementation of an Artificial Neuron (AN) with improved functionality, accuracy,…
An RRAM-Based Implementation of a Template Matching Circuit for Low-Power Analogue Classification
Patrick Foster, Georgios Papandroulidakis, Alex Serb +1
Recent advances in machine learning and neuro-inspired systems enabled the increased interest in efficient pattern recognition at the edge. A wide variety of applications, such as…
A CMOS-based Characterisation Platform for Emerging RRAM Technologies
Andrea Mifsud, Jiawei Shen, Peilong Feng +11
Mass characterisation of emerging memory devices is an essential step in modelling their behaviour for integration within a standard design flow for existing integrated circuit des…
Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0
Max Talanov, Jordi Vallverdu, Andrew Adamatzky +18
This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon h…
An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing
Sachin Maheshwari, Alexander Serb, Christos Papavassiliou +1
In the quest for low power, bio-inspired computation both memristive and memcapacitive-based Artificial Neural Networks (ANN) have been the subjects of increasing focus for hardwar…