21 citations · 26 across the 8 of their papers we have counts for
8 papers
A High-Voltage Characterisation Platform For Emerging Resistive Switching Technologies
Jiawei Shen, Andrea Mifsud, Lijie Xie +2
Emerging memristor-based array architectures have been effectively employed in non-volatile memories and neuromorphic computing systems due to their density, scalability and capabi…
A Wide Dynamic Range Read-out System For Resistive Switching Technology
Lijie Xie, Jiawei Shen, Andrea Mifsud +3
The memristor, because of its controllability over a wide dynamic range of resistance, has emerged as a promising device for data storage and analog computation. A major challenge…
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…
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…
An FPGA-based System for Generalised Electron Devices Testing
Patrick Foster, Jinqi Huang, Alex Serb +3
Electronic systems are becoming more and more ubiquitous as our world digitises. Simultaneously, even basic components are experiencing a wave of improvements with new transistors,…
Hybrid CMOS/Memristor Circuit Design Methodology
Sachin Maheshwari, Spyros Stathopoulos, Jiaqi Wang +8
RRAM technology has experienced explosive growth in the last decade, with multiple device structures being developed for a wide range of applications. However, transitioning the te…
Analysing and Measuring the Performance ofMemristive Integrating Amplifiers
Jiaqi Wang, Alexander Serb, Christos Papavassiliou +2
Recording reliably extracellular neural activities isan essential prerequisite for the development of bioelectronicsand neuroprosthetic applications. Recently, a fully differential…
Hearables: Multimodal physiological in-ear sensing
Valentin Goverdovsky, Wilhelm von Rosenberg, Takashi Nakamura +5
Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time and in the community. Human body responses are…