Runchun Wang

According to our database, Runchun Wang authored at least 32 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Lessons Learned the Hard Way.

Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

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

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

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

Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

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

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, Yu Cao, André van Schaik, Ralph Etienne-Cummings

CoRR, 2018

An FPGA-based Massively Parallel Neuromorphic Cortex Simulator.

Runchun Wang, Chetan Singh Thakur, André van Schaik

CoRR, 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

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

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

A stochastic approach to STDP.

Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Electronic cochlea: CAR-FAC model on FPGA.

Ying Xu, Chetan Singh Thakur, Ram Kuber Singh, Runchun Wang, Jonathan Tapson, André van Schaik

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

An SRAM-based implementation of a convolutional neural network.

Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

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

A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch.

Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

CoRR, 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 neuromorphic hardware framework based on population coding.

Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik

Proceedings of the 2015 International Joint Conference on Neural Networks, 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

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

A compact aVLSI conductance-based silicon neuron.

Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

Delay learning architectures for memory and classification.

Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton

Neurocomputing, 2014

A generalised conductance-based silicon neuron for large-scale spiking neural networks.

Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons.

Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

An FPGA design framework for large-scale spiking neural networks.

Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

A compact neural core for digital implementation of the Neural Engineering Framework.

Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

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

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

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

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2012

An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation.

Runchun Wang, Jonathan Tapson, Tara Julia Hamilton, André van Schaik

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

DELTRON: Neuromorphic architectures for delay based learning.

Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2012

2011

A programmable axonal propagation delay circuit for time-delay spiking neural networks.

Runchun Wang, Craig T. Jin, Alistair Lee McEwan, André van Schaik

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011