Runchun Wang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Pattern Recognition

Hardware Architecture

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Philip C. Jose, Ying Xu, André van Schaik, Runchun Wang
An FPGA Implementation of An Event-Driven Unsupervised Feature Extraction Algorithm for Pattern Recognition. ISCAS (2024)
Samalika Lakmali Perera, Ying Xu, André van Schaik, Runchun Wang
Live Demonstration: An FPGA-Based Emulation of an Event-Based Vision Sensor Using Commercially Available Camera. ISCAS (2021)
Mark D. McDonnell, Hesham Mostafa, Runchun Wang, André van Schaik
Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems. ACIRS (2019)
Ying Xu, Saeed Afshar, Ram Kuber Singh, Runchun Wang, André van Schaik, Tara Julia Hamilton
A Binaural Sound Localization System using Deep Convolutional Neural Networks. ISCAS (2019)
Ram Kuber Singh, Ying Xu, Runchun Wang, Tara Julia Hamilton, Susan L. Denham, André van Schaik
CAR-Lite: A Multi-Rate Cochlear Model on FPGA for Spike-Based Sound Encoding. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2019)
Mark D. McDonnell, Hesham Mostafa, Runchun Wang, André van Schaik
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems. CoRR (2019)
Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Ralph Etienne-Cummings, Jonathan Tapson, André van Schaik
An Analogue Neuromorphic Co-Processor That Utilizes Device Mismatch for Learning Applications. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2018)
Ying Xu, Saeed Afshar, Ram Kuber Singh, Tara Julia Hamilton, Runchun Wang, André van Schaik
A Machine Hearing System for Binaural Sound Localization based on Instantaneous Correlation. ISCAS (2018)
Runchun Wang, Chetan Singh Thakur, André van Schaik
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator. CoRR (2018)
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
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. CoRR (2018)
Ram Kuber Singh, Ying Xu, Runchun Wang, Tara Julia Hamilton, André van Schaik, Susan L. Denham
CAR-Lite: A Multi-Rate Cochlea Model on FPGA. ISCAS (2018)
Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition. IEEE Trans. Biomed. Circuits Syst. 11 (3) (2017)
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A Stochastic Approach to STDP. CoRR (2016)
Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch. IEEE Trans. Circuits Syst. I Regul. Pap. (2) (2016)
Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik
An SRAM-based implementation of a convolutional neural network. BioCAS (2016)
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A stochastic approach to STDP. ISCAS (2016)
Ying Xu, Chetan Singh Thakur, Ram Kuber Singh, Runchun Wang, Jonathan Tapson, André van Schaik
Electronic cochlea: CAR-FAC model on FPGA. BioCAS (2016)
Chetan Singh Thakur, Runchun Wang, Saeed Afshar, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
An Online Learning Algorithm for Neuromorphic Hardware Implementation. CoRR (2015)
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A compact aVLSI conductance-based silicon neuron. CoRR (2015)
Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Runchun Wang, André van Schaik
A reconfigurable mixed-signal implementation of a neuromorphic ADC. BioCAS (2015)
Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch. CoRR (2015)
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik
A neuromorphic hardware framework based on population coding. IJCNN (2015)
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition. CoRR (2015)
Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Runchun Wang, André van Schaik
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC. CoRR (2015)
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A compact aVLSI conductance-based silicon neuron. BioCAS (2015)
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik
A neuromorphic hardware framework based on population coding. CoRR (2015)
Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
An FPGA design framework for large-scale spiking neural networks. ISCAS (2014)
Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A generalised conductance-based silicon neuron for large-scale spiking neural networks. ISCAS (2014)
Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A compact neural core for digital implementation of the Neural Engineering Framework. BioCAS (2014)
Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons. ISCAS (2014)
Shaista Hussain, Arindam Basu, Runchun Wang, Tara Julia Hamilton
Delay Learning Architectures for Memory and Classification. CoRR (2013)
Runchun Wang, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
An improved aVLSI axon with programmable delay using spike timing dependent delay plasticity. ISCAS (2013)
Jonathan Tapson, Gregory Cohen, Saeed Afshar, Klaus M. Stiefel, Y. Buskila, Runchun Wang, Tara Julia Hamilton, André van Schaik
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing CoRR (2013)
Saeed Afshar, Gregory Cohen, Runchun Wang, André van Schaik, Jonathan Tapson, Torsten Lehmann, Tara Julia Hamilton
The Ripple Pond: Enabling Spiking Networks to See. CoRR (2013)
Runchun Wang, Jonathan Tapson, Tara Julia Hamilton, André van Schaik
An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation. ISCAS (2012)
Runchun Wang, Craig T. Jin, Alistair Lee McEwan, André van Schaik
A programmable axonal propagation delay circuit for time-delay spiking neural networks. ISCAS (2011)