activity
20182026
most citedA Substrate-Independent Framework to Characterise Reservoir Computers

87 citations · 174 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Modelling and Simulation of Neuromorphic Datasets for Anomaly Detection in Computer Vision

Mike Middleton, Teymoor Ali, Hakan Kayan +6

Limitations on the availability of Dynamic Vision Sensors (DVS) present a fundamental challenge to researchers of neuromorphic computer vision applications. In response, datasets h…

cs.SD2025

Audio Signal Processing Using Time Domain Mel-Frequency Wavelet Coefficient

Rinku Sebastian, Simon O'Keefe, Martin Trefzer

Extracting features from the speech is the most critical process in speech signal processing. Mel Frequency Cepstral Coefficients (MFCC) are the most widely used features in the ma…

cs.ET2022★ 75 cited

A perspective on physical reservoir computing with nanomagnetic devices

Dan A Allwood, Matthew O A Ellis, David Griffin +11

Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this succ…

cs.PF2021

Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN

Ziwei Wang, Martin A. Trefzer, Simon J. Bale +1

While state-of-the-art development in CNN topology, such as VGGNet and ResNet, have become increasingly accurate, these networks are computationally expensive involving billions of…

cs.OH2021★ 11 cited

Multi-objective Digital Design Optimisation via Improved Drive Granularity Standard Cells

Linan Cao, Simon J. Bale, Martin A. Trefzer

To tackle the complexity of state-of-the-art electronic systems, silicon foundries continuously shrink the technology nodes and electronic design automation (EDA) vendors offer hie…

cs.NE2021

Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow

Linan Cao, Simon J. Bale, Martin A. Trefzer

Modern electronic design automation (EDA) tools can handle the complexity of state-of-the-art electronic systems by decomposing them into smaller blocks or cells, introducing diffe…