Limits to the fault-tolerance of a feedforward neural network with learning. - Jos Nijhuis; Bernd Höfflinger; André van Schaik; Lambert Spaanenburg (FTCS, 1990)

Linear predictive coding of speech using an analogue cochlear model. - Eric Fragnière; André van Schaik; Eric A. Vittoz (EUROSPEECH, 1995)

Improved Silicon Cochlea using Compatible Lateral Bipolar Transistors. - André van Schaik; Eric Fragnière; Eric A. Vittoz (NIPS, 1995)

A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem. - André van Schaik; Eric Fragnière; Eric A. Vittoz (NIPS, 1996)

A CMOS motion detector system for pointing devices. - Xavier Arreguit; André van Schaik; Franqois V. Bauduin; Marc Bidiville; Eric Raeber (IEEE J. Solid State Circuits, 1996)

Spectral Cues in Human Sound Localization. - Craig T. Jin; Anna Corderoy; Simon Carlile; André van Schaik (NIPS, 1999)

An Analog VLSI Model of Periodicity Extraction. - André van Schaik (NIPS, 1999)

Human Localisation of Band-Pass Filtered Noise. - André van Schaik; Craig T. Jin; Simon Carlile (Int. J. Neural Syst., 1999)

Pseudo-voltage domain implementation of a 2-dimensional silicon cochlea. - André van Schaik; Eric Fragnière (ISCAS (3), 2001)

Building blocks for electronic spiking neural networks. - André van Schaik (Neural Networks, 2001)

A small analog VLSI inner hair cell model. - André van Schaik (ISCAS (1), 2003)

The tau-cell: a new method for the implementation of arbitrary differential equations. - André van Schaik; Craig T. Jin (ISCAS (1), 2003)

A neuromorphic sound localizer for a smart MEMS system. - André van Schaik; Shihab A. Shamma (ISCAS (4), 2003)

An Analogue VLSI Implementation of the Meddis Inner Hair Cell Model. - Alistair Lee McEwan; André van Schaik (EURASIP J. Adv. Signal Process., 2003)

Editorial. - Shihab A. Shamma; André van Schaik (EURASIP J. Adv. Signal Process., 2003)

Mobile Spatial Audio Communication System. - Alan Kan; Graeme Pope; André van Schaik; Craig T. Jin (ICAD, 2004)

Reverberation for Ambient Data Communication. - Abhaya Parthy; Craig T. Jin; André van Schaik (ICAD, 2004)

Bias current generators with wide dynamic range. - Tobi Delbruck; André van Schaik (ISCAS (1), 2004)

An alternative analog VLSI implementation of the Meddis inner hair cell model. - Alistair Lee McEwan; André van Schaik (ISCAS (4), 2004)

A 2-Dimensional active cochlear model for analog VLSI implementation. - Hisako Shiraishi; André van Schaik (ISCAS (4), 2004)

AER EAR: a matched silicon cochlea pair with address event representation interface. - André van Schaik; Shih-Chii Liu (ISCAS (5), 2005)

An aVLSI Cricket Ear Model. - André van Schaik; Richard E. Reeve; Craig T. Jin; Tara Julia Hamilton (NIPS, 2005)

Distance Variation Function for Simulation of Near-Field Virtual Auditory Space. - Alan Kan; Craig T. Jin; André van Schaik (ICASSP (5), 2006)

Listening Through Different Ears in the Sydney Opera House. - Angela Qian Li; Craig T. Jin; André van Schaik (ICASSP (5), 2006)

Spike response properties of an AER EAR. - Vincent Chan; André van Schaik; Shih-Chii Liu (ISCAS, 2006)

An analysis of matching in the Tau cell log-domain filter. - Tara Julia Hamilton; Craig T. Jin; André van Schaik (ISCAS, 2006)

AER Auditory Filtering and CPG for Robot Control. - Francisco Gomez-Rodriguez; Alejandro Linares-Barranco; Lourdes Miro-Amarante; Shih-Chii Liu; André van Schaik; Ralph Etienne-Cummings; M. Anthony Lewis (ISCAS, 2007)

A Basilar Membrane Resonator for an Active 2-D Cochlea. - Tara Julia Hamilton; Craig T. Jin; André van Schaik (ISCAS, 2007)

Directional hearing in a silicon cricket. - Richard E. Reeve; André van Schaik; Craig T. Jin; Tara Julia Hamilton; Ben Torben-Nielsen; Barbara Webb (Biosyst., 2007)

An Address-Event Vision Sensor for Multiple Transient Object Detection. - Vincent Chan; Craig T. Jin; André van Schaik (IEEE Trans. Biomed. Circuits Syst., 2007)

AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface. - Vincent Chan; Shih-Chii Liu; André van Schaik (IEEE Trans. Circuits Syst. I Regul. Pap., 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)

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)

Acoustic holography with a concentric rigid and open spherical microphone array. - Abhaya Parthy; Craig T. Jin; André van Schaik (ICASSP, 2009)

Sound localisation with a silicon cochlea pair. - André van Schaik; Vincent Chan; Craig T. Jin (ICASSP, 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)

Symbolic analysis of the Tau Cell log-domain filter using affine MOSFET models. - Balavelan Thanigaivelan; Adam Postula; Craig T. Jin; André van Schaik; Tara Julia Hamilton (APCCAS, 2010)

Zero-Discount Partially Observable Markov Decision Processes For Computational Improvising Agents. - Aengus Martin; Craig T. Jin; André van Schaik; William L. Martens (ICMC, 2010)

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)

Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms. - Shih-Chii Liu; André van Schaik; Bradley A. Minch; Tobi Delbruck (ISCAS, 2010)

A log-domain implementation of the Izhikevich neuron model. - André van Schaik; Craig T. Jin; Alistair Lee McEwan; Tara Julia Hamilton (ISCAS, 2010)

A log-domain implementation of the Mihalas-Niebur neuron model. - André van Schaik; Craig T. Jin; Alistair Lee McEwan; Tara Julia Hamilton; Stefan Mihalas; Ernst Niebur (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)

Spiking neural network-based auto-associative memory using FPGA interconnect delays. - Chong H. Ang; Craig T. Jin; Philip Heng Wai Leong; André van Schaik (FPT, 2011)

Time domain reconstruction of spatial sound fields using compressed sensing. - Andrew Wabnitz; Nicolas Epain; André van Schaik; Craig T. Jin (ICASSP, 2011)

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)

A method for measuring switching frequency using complex asynchronous logic circuits. - Nonie Politi; Julian Jenkins; André van Schaik; Torsten Lehmann; Tara Julia Hamilton (APCCAS, 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)

A 1.2V 2-bit phase interpolator for 65nm CMOS. - Andrew P. Nicholson; Julian Jenkins; André van Schaik; Tara Julia Hamilton; Torsten Lehmann (ISCAS, 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)

A 0.3mm2 10-b 100MS/s pipelined ADC using Nauta structure op-amps in 180nm CMOS. - Andrew P. Nicholson; Julian Jenkins; Astria Nur Irfansyah; Nonie Politi; André van Schaik; Tara Julia Hamilton; Torsten Lehmann (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)

A digital to transconductance converter for nauta structure op-amps in 65nm CMOS. - Andrew P. Nicholson; Julian Jenkins; André van Schaik; Tara Julia Hamilton; Torsten Lehmann (MWSCAS, 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)

Asynchronous Binaural Spatial Audition Sensor With 2 × 64 × 4 Channel Output. - Shih-Chii Liu; André van Schaik; Bradley A. Minch; Tobi Delbruck (IEEE Trans. Biomed. Circuits Syst., 2014)

Creating the Sydney York Morphological and Acoustic Recordings of Ears Database. - Craig T. Jin; Pierre Guillon 002; Nicolas Epain; Reza Zolfaghari; André van Schaik; Anthony I. Tew; Carl Hetherington; Jonathan Thorpe (IEEE Trans. Multim., 2014)

Neuromorphic Sensors, Cochlea. - Shih-Chii Liu; André van Schaik (Encyclopedia of Computational Neuroscience, 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)

Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal. - Nadi Sadr; Philip de Chazal; André van Schaik; Paul Breen (EMBC, 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)

A point process approach to encode tactile afferents. - Patrick Kasi; Ingvars Birznieks; André van Schaik (NER, 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)

Inference in spiking Bayesian neurons using stochastic computation. - Chetan Singh Thakur; Jamal Molin; Ralph Etienne-Cummings; André van Schaik (CISS, 2017)

Measurement of perception thresholds for electrical noise stimuli. - David Karpul; Sarah McIntyre; André van Schaik; Paul P. Breen (EMBC, 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)

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)

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)

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)

Star Tracking Using an Event Camera. - Tat-Jun Chin; Samya Bagchi; Anders P. Eriksson; André van Schaik (CVPR Workshops, 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)

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

Event-based Object Detection and Tracking for Space Situational Awareness. - Saeed Afshar; Andrew P. Nicholson; André van Schaik; Gregory Cohen (CoRR, 2019)

Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. - Corey Lammie; Tara Julia Hamilton; André van Schaik; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst. I Regul. Pap., 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)

Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. - Adithya Krishna; André van Schaik; Chetan Singh Thakur (CoRR, 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)

Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification. - Md Atiqul Islam; Ying Xu; Saeed Afshar; Travis Monk; André van Schaik (ICFSP, 2021)

Superevents: Towards Native Semantic Segmentation for Event-based Cameras. - Weng Fei Low; Ankit Sonthalia; Zhi Gao; André van Schaik; Bharath Ramesh 001 (ICONS, 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 (ISCAS, 2021)

FPGA Implementation of Particle Filters for Robotic Source Localization. - Adithya Krishna; André van Schaik; Chetan Singh Thakur (IEEE Access, 2021)

An optimised deep spiking neural network architecture without gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (CoRR, 2021)

Advances in Machine Learning and Deep Neural Networks. - Rama Chellappa; Sergios Theodoridis; André van Schaik (Proc. IEEE, 2021)

Rapid Inference of Geographical Location with an Event-based Electronic Nose. - Nik Dennler; Damien Drix; Shavika Rastogi; André van Schaik; Michael Schmuker (NICE, 2022)

An Optimized Deep Spiking Neural Network Architecture Without Gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (IEEE Access, 2022)

Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model. - Ying Xu; Samalika Lakmali Perera; Yeshwanth Bethi; Saeed Afshar; André van Schaik (CoRR, 2022)

Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. - Adithya Krishna; Hitesh Pavan Oleti; Anand Chauhan; H. Shankaranarayanan; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (BioCAS, 2023)

A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. - Adithya Krishna; Vignesh Ramanathan; Satyapreet Singh Yadav; Sahil Shah; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (BioCAS, 2023)

Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. - Shavika Rastogi; Nik Dennler; Michael Schmuker; André van Schaik (BioCAS, 2023)

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Saeed Afshar (INNS DLIA@IJCNN, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - 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; et al. (CoRR, 2023)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (CoRR, 2023)

RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge. - Adithya Krishna; Srikanth Rohit Nudurupati; Chandana D. G; Pritesh Dwivedi; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (CoRR, 2023)

Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit. - Nik Dennler; André van Schaik; Michael Schmuker (CoRR, 2023)

An Event based Prediction Suffix Tree. - Evie Andrew; Travis Monk; André van Schaik (CoRR, 2023)

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)

Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. - Adithya Krishna; Ashwin Rajesh; Hitesh Pavan Oleti; Anand Chauhan; Shankaranarayanan H; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (ISCAS, 2024)

Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). - Mohamad Ali Mehrabi; Nik Dennler; Yeshwanth Bethi; André van Schaik; Saeed Afshar (ISIE, 2024)

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2024)

High-speed odour sensing using miniaturised electronic nose. - Nik Dennler; Damien Drix; Tom P. A. Warner; Shavika Rastogi; Cecilia Della Casa; Tobias Ackels; Andreas Schaefer; André van Schaik; Michael Schmuker (CoRR, 2024)

The Neuromorphic Analog Electronic Nose. - Shavika Rastogi; Nik Dennler; Michael Schmuker; André van Schaik (CoRR, 2024)

Neuromorphic circuit for temporal odor encoding in turbulent environments. - Shavika Rastogi; Nik Dennler; Michael Schmuker; André van Schaik (CoRR, 2024)

Limitations in odour recognition and generalization in a neuromorphic olfactory circuit. - Nik Dennler; André van Schaik; Michael Schmuker (Nat. Mac. Intell., 2024)

Electrical Signaling Beyond Neurons. - Travis Monk; Nik Dennler; Nicholas Owen Ralph; Shavika Rastogi; Saeed Afshar; Pablo Urbizagastegui; Russell Jarvis; André van Schaik; Andrew Adamatzky (Neural Comput., 2024)

Tau-Cell-Based Analog Silicon Retina With Spatio- Temporal Filtering and Contrast Gain Control. - Prince Philip; Kapil Jainwal; André van Schaik; Chetan Singh Thakur (IEEE Trans. Biomed. Circuits Syst., 2024)

RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. - Adithya Krishna; Srikanth Rohit Nudurupati; Chandana D. G; Pritesh Dwivedi; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (IEEE Internet Things J., 2024)

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

The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes. - Shivaram Mani; Paul Hurley; André van Schaik; Travis Monk (Neural Comput., 2025)

Spiking neural networks on FPGA: A survey of methodologies and recent advancements. - Mehrzad Karamimanesh; Ebrahim Abiri; Mahyar Shahsavari; Kourosh Hassanli; André van Schaik; Jason Eshraghian (Neural Networks, 2025)

Neuromorphic Retina: An FPGA-based Emulator. - Prince Phillip; Pallab Kumar Nath; Kapil Jainwal; André van Schaik; Chetan Singh Thakur (CoRR, 2025)

Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits. - Satyapreet Singh Yadav; Bikram Pradhan; Kenil Rajendrabhai Ajudiya; T. S. Kumar; Nirupam Roy; André van Schaik; Chetan Singh Thakur (CoRR, 2025)

Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications. - Adithya Krishna; Sohan Debnath; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (CoRR, 2025)