Supercritical stability in a sonar receiver circuit. - Jonathan Tapson (ISCAS, 2006)

A Simple Neural Cross-Correlation Engine. - Jonathan Tapson; Ralph Etienne-Cummings (ISCAS, 2007)

Wide-Bandwidth, High Frame Rate Electrical Impedance Tomography / Spectroscopy - a Code Division Multiplexing (CDM) Approach. - Alistair Lee McEwan; David S. Holder; Jonathan Tapson; André van Schaik (BIODEVICES (2), 2008)

Implementing a neuromorphic cross-correlation engine with silicon neurons. - Fopefolu O. Folowosele; Francesco Tenore; Alexander F. Russell; Garrick Orchard; Mark P. Vismer; Jonathan Tapson; Ralph Etienne-Cummings (ISCAS, 2008)

A 2-D silicon cochlea with an improved automatic quality factor control-loop. - Tara Julia Hamilton; Craig T. Jin; André van Schaik; Jonathan Tapson (ISCAS, 2008)

Self-tuned regenerative amplification and the hopf bifurcation. - Jonathan Tapson; Tara Julia Hamilton; Craig T. Jin; André van Schaik (ISCAS, 2008)

A two-neuron cross-correlation circuit with a wide and continuous range of time delay. - Jonathan Tapson; Mark P. Vismer; Craig T. Jin; André van Schaik; Fopefolu O. Folowosele; Ralph Etienne-Cummings (ISCAS, 2008)

A First-Order Non-Homogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals - Jonathan Tapson; Craig T. Jin; André van Schaik; Ralph Etienne-Cummings (CoRR, 2008)

An Active 2-D Silicon Cochlea. - Tara Julia Hamilton; Craig T. Jin; André van Schaik; Jonathan Tapson (IEEE Trans. Biomed. Circuits Syst., 2008)

A color detection glove with haptic feedback for the visually disabled. - Helen N. Schwerdt; Jonathan Tapson; Ralph Etienne-Cummings (CISS, 2009)

A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals. - Jonathan Tapson; Craig T. Jin; André van Schaik; Ralph Etienne-Cummings (Neural Comput., 2009)

Code-Division-Multiplexed Electrical Impedance Tomography Spectroscopy. - Alistair Lee McEwan; Jonathan Tapson; André van Schaik; David S. Holder (IEEE Trans. Biomed. Circuits Syst., 2009)

Investigating the implications of outer hair cell connectivity using a silicon cochlea. - Tara Julia Hamilton; Jonathan Tapson; Craig T. Jin; André van Schaik (ISCAS, 2010)

Mixed signal phase sensitive detection. - Jonathan Tapson (ISCAS, 2010)

Live demonstration: The self-tuned regenerative electromechanical parametric amplifier. - Jonathan Tapson; Tara Julia Hamilton; André van Schaik (ISCAS, 2010)

The self-tuned regenerative electromechanical arametric amplifier: A model for Active amplification in the cochlea. - Jonathan Tapson; Tara Julia Hamilton; André van Schaik (ISCAS, 2010)

Salience-Affected Neural Networks - Leendert A. Remmelzwaal; Jonathan Tapson; George F. R. Ellis (CoRR, 2010)

Optimization Methods for Spiking Neurons and Networks. - Alexander F. Russell; Garrick Orchard; Yi Dong; Stefan Mihalas; Ernst Niebur; Jonathan Tapson; Ralph Etienne-Cummings (IEEE Trans. Neural Networks, 2010)

Combination of diffuse and local connections in the cortex. - Leendert A. Remmelzwaal; Jonathan Tapson; George F. R. Ellis (AFRICON, 2011)

Confession session: Learning from others mistakes. - Pamela Abshire; Amine Bermak; Raphael Berner; Gert Cauwenberghs; Shoushun Chen; Jennifer Blain Christen; Timothy G. Constandinou; Eugenio Culurciello; Marc Dandin; Timir Datta; Tobi Delbruck; Piotr Dudek; et al. (ISCAS, 2011)

A neuromorphic cross-correlation chip. - Tara Julia Hamilton; Jonathan Tapson (ISCAS, 2011)

A model of the humanoid body for self collision detection based on elliptical capsules. - Chioniso Dube; Mohohlo Tsoeu; Jonathan Tapson (ROBIO, 2011)

Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. - Francesco Galluppi; Jörg Conradt; Terrence C. Stewart; Chris Eliasmith; Timothy K. Horiuchi; Jonathan Tapson; Bryan P. Tripp; Steve B. Furber; Ralph Etienne-Cummings (BioCAS, 2012)

Emergence of competitive control in a memristor-based neuromorphic circuit. - Saeed Afshar; Omid Kavehei; André van Schaik; Jonathan Tapson; Stan Skafidas; Tara Julia Hamilton (IJCNN, 2012)

Online learning in Bayesian Spiking Neurons. - Levin Kuhlmann; Michael Hauser-Raspe; Jonathan H. Manton; David B. Grayden; Jonathan Tapson; André van Schaik (IJCNN, 2012)

An asynchronous parallel neuromorphic ADC architecture. - Jonathan Tapson; André van Schaik (ISCAS, 2012)

An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation. - Runchun Wang; Jonathan Tapson; Tara Julia Hamilton; André van Schaik (ISCAS, 2012)

Unipolar ECG circuits: Towards more precise cardiac event identification. - Gaetano D. Gargiulo; Jonathan Tapson; André van Schaik; Alistair Lee McEwan; Aravinda Thiagalingam (ISCAS, 2013)

An improved aVLSI axon with programmable delay using spike timing dependent delay plasticity. - Runchun Wang; Gregory Cohen; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2013)

The Ripple Pond: Enabling Spiking Networks to See. - Saeed Afshar; Gregory Cohen; Runchun Wang; André van Schaik; Jonathan Tapson; Torsten Lehmann; Tara Julia Hamilton (CoRR, 2013)

Synthesis of neural networks for spatio-temporal spike pattern recognition and processing - Jonathan Tapson; Gregory Cohen; Saeed Afshar; Klaus M. Stiefel; Y. Buskila; Runchun Wang; Tara Julia Hamilton; André van Schaik (CoRR, 2013)

Temporal Order Detection and Coding in Nervous Systems. - Klaus M. Stiefel; Jonathan Tapson; André van Schaik (Neural Comput., 2013)

Learning the pseudoinverse solution to network weights. - Jonathan Tapson; André van Schaik (Neural Networks, 2013)

A compact neural core for digital implementation of the Neural Engineering Framework. - Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (BioCAS, 2014)

FPGA implementation of the CAR Model of the cochlea. - Chetan Singh Thakur; Tara Julia Hamilton; Jonathan Tapson; André van Schaik; Richard F. Lyon (ISCAS, 2014)

Live demonstration: FPGA implementation of the CAR model of the cochlea. - Chetan Singh Thakur; James Wright; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2014)

An FPGA design framework for large-scale spiking neural networks. - Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2014)

A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons. - Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2014)

A generalised conductance-based silicon neuron for large-scale spiking neural networks. - Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2014)

Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. - Saeed Afshar; Libin George; Jonathan Tapson; André van Schaik; Philip de Chazal; Tara Julia Hamilton (CoRR, 2014)

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron. - Saeed Afshar; Libin George; Jonathan Tapson; André van Schaik; Tara Julia Hamilton (CoRR, 2014)

Learning ELM network weights using linear discriminant analysis. - Philip de Chazal; Jonathan Tapson; André van Schaik (CoRR, 2014)

Fast, simple and accurate handwritten digit classification using extreme learning machines with shaped input-weights. - Mark D. McDonnell; Migel D. Tissera; André van Schaik; Jonathan Tapson (CoRR, 2014)

Explicit Computation of Input Weights in Extreme Learning Machines. - Jonathan Tapson; Philip de Chazal; André van Schaik (CoRR, 2014)

ELM Solutions for Event-Based Systems. - Jonathan Tapson; André van Schaik (CoRR, 2014)

Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. - Levin Kuhlmann; Michael Hauser-Raspe; Jonathan H. Manton; David B. Grayden; Jonathan Tapson; André van Schaik (Neural Comput., 2014)

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. - Tara Julia Hamilton; Saeed Afshar; André van Schaik; Jonathan Tapson (Proc. IEEE, 2014)

A compact aVLSI conductance-based silicon neuron. - Runchun Wang; Chetan Singh Thakur; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (BioCAS, 2015)

A reconfigurable mixed-signal implementation of a neuromorphic ADC. - Ying Xu; Chetan Singh Thakur; Tara Julia Hamilton; Jonathan Tapson; Runchun Wang; André van Schaik (BioCAS, 2015)

A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database. - Philip de Chazal; Jonathan Tapson; André van Schaik (ICASSP, 2015)

A neuromorphic hardware framework based on population coding. - Chetan Singh Thakur; Tara Julia Hamilton; Runchun Wang; Jonathan Tapson; André van Schaik (IJCNN, 2015)

An Online Learning Algorithm for Neuromorphic Hardware Implementation. - Chetan Singh Thakur; Runchun Wang; Saeed Afshar; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (CoRR, 2015)

A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch. - Chetan Singh Thakur; Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (CoRR, 2015)

A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition. - Runchun Wang; Chetan Singh Thakur; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (CoRR, 2015)

Online and adaptive pseudoinverse solutions for ELM weights. - André van Schaik; Jonathan Tapson (Neurocomputing, 2015)

ELM solutions for event-based systems. - Jonathan Tapson; Gregory Cohen; André van Schaik (Neurocomputing, 2015)

Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. - Saeed Afshar; Libin George; Chetan Singh Thakur; Jonathan Tapson; André van Schaik; Philip de Chazal; Tara Julia Hamilton (IEEE Trans. Biomed. Circuits Syst., 2015)

An SRAM-based implementation of a convolutional neural network. - Runchun Wang; Gregory Cohen; Chetan Singh Thakur; Jonathan Tapson; André van Schaik (BioCAS, 2016)

Electronic cochlea: CAR-FAC model on FPGA. - Ying Xu; Chetan Singh Thakur; Ram Kuber Singh; Runchun Wang; Jonathan Tapson; André van Schaik (BioCAS, 2016)

A stochastic approach to STDP. - Runchun Wang; Chetan Singh Thakur; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2016)

A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch. - Chetan Singh Thakur; Runchun Wang; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. - Hossein Moeinzadeh; Gaetano D. Gargiulo; Paolo Bifulco; Mario Cesarelli; Alistair Lee McEwan; Aiden O'Loughlin; Ibrahim M. Shugman; Jonathan C. Tapson; Aravinda Thiagalingam (GECCO (Companion), 2017)

EMNIST: Extending MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (IJCNN, 2017)

EMNIST: an extension of MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (CoRR, 2017)

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition. - Runchun Wang; Chetan Singh Thakur; Gregory Cohen; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (IEEE Trans. Biomed. Circuits Syst., 2017)

On the Einthoven Triangle: A Critical Analysis of the Single Rotating Dipole Hypothesis. - Gaetano D. Gargiulo; Paolo Bifulco; Mario Cesarelli; Alistair Lee McEwan; Hossein Moeinzadeh; Aiden O'Loughlin; Ibrahim M. Shugman; Jonathan C. Tapson; Aravinda Thiagalingam (Sensors, 2018)

An Analogue Neuromorphic Co-Processor That Utilizes Device Mismatch for Learning Applications. - Chetan Singh Thakur; Runchun Wang; Tara Julia Hamilton; Ralph Etienne-Cummings; Jonathan Tapson; André van Schaik (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Spatial and Temporal Downsampling in Event-Based Visual Classification. - Gregory Cohen; Saeed Afshar; Garrick Orchard; Jonathan Tapson; Ryad Benosman; André van Schaik (IEEE Trans. Neural Networks Learn. Syst., 2018)

Event-based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (CoRR, 2019)

One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN). - Leendert A. Remmelzwaal; George F. R. Ellis; Jonathan Tapson (CoRR, 2019)

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity. - Amirreza Yousefzadeh; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco; Mina A. Khoei; Sahar Hosseini; Priscila C. Holanda; Sam Leroux; Orlando Moreira; Jonathan Tapson; Bart Dhoedt; Pieter Simoens (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware. - Guang-Bin Huang; E. S. Eleftheriou; Dhireesha Kudithipudi; Jonathan Tapson; Hao Yu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference. - Mina A. Khoei; Amirreza Yousefzadeh; Arash Pourtaherian; Orlando Moreira; Jonathan Tapson (AICAS, 2020)

NeuronFlow: A Hybrid Neuromorphic - Dataflow Processor Architecture for AI Workloads. - Orlando Moreira; Amirreza Yousefzadeh; Fabian Chersi; Ajay Kapoor; Rik-Jan Zwartenkot; Peng Qiao; Gokturk Cinserin; Mina A. Khoei; Menno Lindwer; Jonathan Tapson (AICAS, 2020)

NeuronFlow: a neuromorphic processor architecture for Live AI applications. - Orlando Moreira; Amirreza Yousefzadeh; Fabian Chersi; Gokturk Cinserin; Rik-Jan Zwartenkot; Ajay Kapoor; Peng Qiao; Peter Kievits; Mina A. Khoei; Louis Rouillard; Aimee Ferouge; Jonathan Tapson; et al. (DATE, 2020)

Event-Based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Nicholas Owen Ralph; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (Sensors, 2020)

WCTECGdb: A 12-Lead Electrocardiography Dataset Recorded Simultaneously with Raw Exploring Electrodes' Potential Directly Referred to the Right Leg. - Hossein Moeinzadeh; Joseph Assad; Paolo Bifulco; Mario Cesarelli; Aiden O'Loughlin; Jonathan C. Tapson; Ibrahim M. Shugman; Aravinda Thiagalingam; Gaetano D. Gargiulo (Sensors, 2020)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)