André van Schaik

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 53

Top Venues

CoRR

ISCAS

BioCAS

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, André van Schaik, Saeed Afshar
Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). ISIE (2024)
Prince Philip, Kapil Jainwal, André van Schaik, Chetan Singh Thakur
Tau-Cell-Based Analog Silicon Retina With Spatio- Temporal Filtering and Contrast Gain Control. IEEE Trans. Biomed. Circuits Syst. 18 (2) (2024)
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)
Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. IEEE Internet Things J. 11 (14) (2024)
Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan, Shankaranarayanan H, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. ISCAS (2024)
Nik Dennler, Damien Drix, Tom P. A. Warner, Shavika Rastogi, Cecilia Della Casa, Tobias Ackels, Andreas Schaefer, André van Schaik, Michael Schmuker
High-speed odour sensing using miniaturised electronic nose. CoRR (2024)
Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. BioCAS (2023)
Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. BioCAS (2023)
Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge. CoRR (2023)
Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. BioCAS (2023)
Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. CoRR (2023)
Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Saeed Afshar
An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. INNS DLIA@IJCNN (2023)
Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. CoRR (2023)
Evie Andrew, Travis Monk, André van Schaik
An Event based Prediction Suffix Tree. CoRR (2023)
Nik Dennler, André van Schaik, Michael Schmuker
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit. CoRR (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar
An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access 10 (2022)
Ying Xu, Samalika Lakmali Perera, Yeshwanth Bethi, Saeed Afshar, André van Schaik
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model. CoRR (2022)
Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Rapid Inference of Geographical Location with an Event-based Electronic Nose. NICE (2022)
Md Atiqul Islam, Ying Xu, Saeed Afshar, Travis Monk, André van Schaik
Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification. ICFSP (2021)
Rama Chellappa, Sergios Theodoridis, André van Schaik
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109 (5) (2021)
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)
Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar
An optimised deep spiking neural network architecture without gradients. CoRR (2021)
Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh
Superevents: Towards Native Semantic Segmentation for Event-based Cameras. ICONS (2021)
Adithya Krishna, André van Schaik, Chetan Singh Thakur
FPGA Implementation of Particle Filters for Robotic Source Localization. IEEE Access 9 (2021)
Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh
Superevents: Towards Native Semantic Segmentation for Event-based Cameras. CoRR (2021)
Adithya Krishna, André van Schaik, Chetan Singh Thakur
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. CoRR (2020)
Saeed Afshar, Nicholas Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
Event-Based Feature Extraction Using Adaptive Selection Thresholds. Sensors 20 (6) (2020)
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)
Corey Lammie, Tara Julia Hamilton, André van Schaik, Mostafa Rahimi Azghadi
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2019)
Saeed Afshar, Andrew P. Nicholson, André van Schaik, Gregory Cohen
Event-based Object Detection and Tracking for Space Situational Awareness. CoRR (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)
Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
Event-based Feature Extraction Using Adaptive Selection Thresholds. CoRR (2019)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking Using an Event Camera. CVPR Workshops (2019)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking using an Event Camera. CoRR (2018)
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)
Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik
Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (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)
David Karpul, Sarah McIntyre, André van Schaik, Paul P. Breen
Measurement of perception thresholds for electrical noise stimuli. EMBC (2017)
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik
EMNIST: an extension of MNIST to handwritten letters. CoRR (2017)
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)
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik
EMNIST: Extending MNIST to handwritten letters. IJCNN (2017)
Chetan Singh Thakur, Jamal Molin, Ralph Etienne-Cummings, André van Schaik
Inference in spiking Bayesian neurons using stochastic computation. CISS (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)
Nadi Sadr, Philip de Chazal, André van Schaik, Paul Breen
Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal. EMBC (2015)
Saeed Afshar, Libin George, Chetan Singh Thakur, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton
Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Trans. Biomed. Circuits Syst. 9 (2) (2015)
Philip de Chazal, Jonathan Tapson, André van Schaik
A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database. ICASSP (2015)
Jonathan Tapson, Gregory Cohen, André van Schaik
ELM solutions for event-based systems. Neurocomputing 149 (2015)
Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Richard F. Lyon, André van Schaik
FPGA Implementation of the CAR Model of the Cochlea. CoRR (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)
André van Schaik, Jonathan Tapson
Online and adaptive pseudoinverse solutions for ELM weights. Neurocomputing 149 (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)
Patrick Kasi, Ingvars Birznieks, André van Schaik
A point process approach to encode tactile afferents. NER (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)
Jonathan Tapson, Philip de Chazal, André van Schaik
Explicit Computation of Input Weights in Extreme Learning Machines. CoRR (2014)
Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
An FPGA design framework for large-scale spiking neural networks. ISCAS (2014)
Chetan Singh Thakur, James Wright, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
Live demonstration: FPGA implementation of the CAR model of the cochlea. ISCAS (2014)
Craig T. Jin, Pierre Guillon, Nicolas Epain, Reza Zolfaghari, André van Schaik, Anthony I. Tew, Carl Hetherington, Jonathan Thorpe
Creating the Sydney York Morphological and Acoustic Recordings of Ears Database. IEEE Trans. Multim. 16 (1) (2014)
Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik, Richard F. Lyon
FPGA implementation of the CAR Model of the cochlea. ISCAS (2014)
André van Schaik, Jonathan Tapson
Online and Adaptive Pseudoinverse Solutions for ELM Weights. CoRR (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)
Jonathan Tapson, André van Schaik
ELM Solutions for Event-Based Systems. CoRR (2014)
Shih-Chii Liu, André van Schaik, Bradley A. Minch, Tobi Delbrück
Asynchronous Binaural Spatial Audition Sensor With 2 × 64 × 4 Channel Output. IEEE Trans. Biomed. Circuits Syst. 8 (4) (2014)
Tara Julia Hamilton, Saeed Afshar, André van Schaik, Jonathan Tapson
Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. Proc. IEEE 102 (5) (2014)
Mark D. McDonnell, Migel D. Tissera, André van Schaik, Jonathan Tapson
Fast, simple and accurate handwritten digit classification using extreme learning machines with shaped input-weights. CoRR (2014)
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Comput. 26 (3) (2014)
Andrew P. Nicholson, Julian Jenkins, André van Schaik, Tara Julia Hamilton, Torsten Lehmann
A digital to transconductance converter for nauta structure op-amps in 65nm CMOS. MWSCAS (2014)
Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton
Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. CoRR (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)
Philip de Chazal, Jonathan Tapson, André van Schaik
Learning ELM network weights using linear discriminant analysis. CoRR (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)
Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Tara Julia Hamilton
Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron. CoRR (2014)
Jonathan Tapson, André van Schaik
Learning the pseudoinverse solution to network weights. Neural Networks 45 (2013)
Klaus M. Stiefel, Jonathan Tapson, André van Schaik
Temporal Order Detection and Coding in Nervous Systems. Neural Comput. 25 (2) (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)
Gaetano D. Gargiulo, Jonathan Tapson, André van Schaik, Alistair Lee McEwan, Aravinda Thiagalingam
Unipolar ECG circuits: Towards more precise cardiac event identification. ISCAS (2013)
Andrew P. Nicholson, Julian Jenkins, Astria Nur Irfansyah, Nonie Politi, André van Schaik, Tara Julia Hamilton, Torsten Lehmann
10-b 100MS/s pipelined ADC using Nauta structure op-amps in 180nm CMOS. ISCAS (2013)
Nonie Politi, Julian Jenkins, André van Schaik, Torsten Lehmann, Tara Julia Hamilton
A method for measuring switching frequency using complex asynchronous logic circuits. APCCAS (2012)
Jonathan Tapson, André van Schaik
An asynchronous parallel neuromorphic ADC architecture. ISCAS (2012)
Runchun Wang, Jonathan Tapson, Tara Julia Hamilton, André van Schaik
An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation. ISCAS (2012)
Jonathan Tapson, André van Schaik
Learning the Pseudoinverse Solution to Network Weights CoRR (2012)
Saeed Afshar, Omid Kavehei, André van Schaik, Jonathan Tapson, Stan Skafidas, Tara Julia Hamilton
Emergence of competitive control in a memristor-based neuromorphic circuit. IJCNN (2012)
Pierre Guillon, Reza Zolfaghari, Nicolas Epain, André van Schaik, Craig T. Jin, Carl Hetherington, Jonathan Thorpe, Anthony I. Tew
Creating the Sydney York Morphological and Acoustic Recordings of Ears Database. ICME (2012)

André van Schaik.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

André van Schaik