A programmable axonal propagation delay circuit for time-delay spiking neural networks. - Runchun Wang; Craig T. Jin; Alistair Lee McEwan; André van Schaik (ISCAS, 2011)

DELTRON: Neuromorphic architectures for delay based learning. - Shaista Hussain; Arindam Basu; Runchun Mark Wang; Tara Julia Hamilton (APCCAS, 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)

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)

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

Delay learning architectures for memory and classification. - Shaista Hussain; Arindam Basu; Runchun Mark Wang; Tara Julia Hamilton (Neurocomputing, 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 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)

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)

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)

CAR-Lite: A Multi-Rate Cochlea Model on FPGA. - Ram Kuber Singh; Ying Xu; Runchun Wang; Tara Julia Hamilton; André van Schaik; Susan L. Denham (ISCAS, 2018)

A Machine Hearing System for Binaural Sound Localization based on Instantaneous Correlation. - Ying Xu; Saeed Afshar; Ram Kuber Singh; Tara Julia Hamilton; Runchun Wang; André van Schaik (ISCAS, 2018)

An FPGA-based Massively Parallel Neuromorphic Cortex Simulator. - Runchun Wang; Chetan Singh Thakur; André van Schaik (CoRR, 2018)

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. - Chetan Singh Thakur; Jamal Molin; Gert Cauwenberghs; Giacomo Indiveri; Kundan Kumar; Ning Qiao; Johannes Schemmel; Runchun Wang; Elisabetta Chicca; Jennifer Olson Hasler; Jae-sun Seo; Shimeng Yu; et al. (CoRR, 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)

Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems. - Mark D. McDonnell; Hesham Mostafa; Runchun Wang; André van Schaik (ACIRS, 2019)

A Binaural Sound Localization System using Deep Convolutional Neural Networks. - Ying Xu; Saeed Afshar; Ram Kuber Singh; Runchun Wang; André van Schaik; Tara Julia Hamilton (ISCAS, 2019)

CAR-Lite: A Multi-Rate Cochlear Model on FPGA for Spike-Based Sound Encoding. - Ram Kuber Singh; Ying Xu; Runchun Wang; Tara Julia Hamilton; Susan L. Denham; André van Schaik (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Lessons Learned the Hard Way. - Tobi Delbruck; Ibrahim Abe M. Elfadel; Shahzad Muzaffar; Germain Haessig; Bo Wang 012; Amine Bermak; Rui Graca; Luis A. Camuñas-Mesa; Bathiya Senevirathna; Pamela Abshire; Bernabé Linares-Barranco; Saeed Afshar; et al. (ISCAS, 2020)

Live Demonstration: An FPGA-Based Emulation of an Event-Based Vision Sensor Using Commercially Available Camera. - Samalika Lakmali Perera; Ying Xu; André van Schaik; Runchun Wang (ISCAS, 2021)

An FPGA Implementation of An Event-Driven Unsupervised Feature Extraction Algorithm for Pattern Recognition. - Philip C. Jose; Ying Xu; André van Schaik; Runchun Wang (ISCAS, 2024)

Simulating Spiking Neural Networks with 8-Bit Floating-Point Numbers. - Pablo Urbizagastegui; André van Schaik; Runchun Wang (ISCAS, 2025)