default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndré van Schaik
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j34]Mohamad Ali Mehrabi
, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar:
Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. IEEE Access 12: 170980-170993 (2024)- [j33]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): 24831-24845 (2024) - [j32]Travis Monk, Nik Dennler, Nicholas Owen Ralph, Shavika Rastogi, Saeed Afshar, Pablo Urbizagastegui, Russell Jarvis, André van Schaik, Andrew Adamatzky:
Electrical Signaling Beyond Neurons. Neural Comput. 36(10): 1939-2029 (2024) - [j31]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): 423-437 (2024) - [c85]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: 1-5 - [c84]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: 1 - [c83]Mohamad 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: 1-8 - [i38]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 abs/2406.01904 (2024) - [i37]Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik:
The Neuromorphic Analog Electronic Nose. CoRR abs/2410.16677 (2024) - 2023
- [c82]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: 1 - [c81]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: 1-5 - [c80]Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik:
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. BioCAS 2023: 1-5 - [c79]Mohamad 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: 407-414 - [i36]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 Michael 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 abs/2304.04640 (2023) - [i35]Mohamad 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 abs/2305.19468 (2023) - [i34]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 abs/2306.06493 (2023) - [i33]Nik Dennler, André van Schaik, Michael Schmuker:
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit. CoRR abs/2309.11555 (2023) - [i32]Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik:
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. CoRR abs/2310.07475 (2023) - [i31]Evie Andrew, Travis Monk, André van Schaik:
An Event based Prediction Suffix Tree. CoRR abs/2310.14944 (2023) - 2022
- [j30]Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar:
An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access 10: 97912-97929 (2022) - [c78]Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker:
Rapid Inference of Geographical Location with an Event-based Electronic Nose. NICE 2022: 112-114 - [i30]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 abs/2212.07136 (2022) - 2021
- [j29]Adithya Krishna, André van Schaik, Chetan Singh Thakur:
FPGA Implementation of Particle Filters for Robotic Source Localization. IEEE Access 9: 98185-98203 (2021) - [j28]Rama Chellappa, Sergios Theodoridis, André van Schaik:
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109(5): 607-611 (2021) - [c77]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: 12-16 - [c76]Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh:
Superevents: Towards Native Semantic Segmentation for Event-based Cameras. ICONS 2021: 20:1-20:8 - [c75]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: 1 - [i29]Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh:
Superevents: Towards Native Semantic Segmentation for Event-based Cameras. CoRR abs/2105.06091 (2021) - [i28]Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar:
An optimised deep spiking neural network architecture without gradients. CoRR abs/2109.12813 (2021) - 2020
- [j27]Saeed Afshar, Nicholas Owen Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen:
Event-Based Feature Extraction Using Adaptive Selection Thresholds. Sensors 20(6): 1600 (2020) - [i27]Adithya Krishna, André van Schaik, Chetan Singh Thakur:
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. CoRR abs/2010.11911 (2020)
2010 – 2019
- 2019
- [j26]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. 66-I(4): 1558-1570 (2019) - [j25]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. 66-I(5): 1805-1817 (2019) - [c74]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: 197-204 - [c73]Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking Using an Event Camera. CVPR Workshops 2019: 1646-1655 - [c72]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: 1-5 - [i26]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 abs/1907.06916 (2019) - [i25]Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen:
Event-based Feature Extraction Using Adaptive Selection Thresholds. CoRR abs/1907.07853 (2019) - [i24]Saeed Afshar, Andrew P. Nicholson, André van Schaik, Gregory Cohen:
Event-based Object Detection and Tracking for Space Situational Awareness. CoRR abs/1911.08730 (2019) - 2018
- [j24]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. 65-I(4): 1174-1184 (2018) - [j23]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): 5030-5044 (2018) - [c71]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: 1-5 - [c70]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: 1-5 - [i23]Runchun Wang, Chetan Singh Thakur, André van Schaik:
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator. CoRR abs/1803.03015 (2018) - [i22]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 abs/1805.08932 (2018) - [i21]Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking using an Event Camera. CoRR abs/1812.02895 (2018) - 2017
- [j22]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): 574-584 (2017) - [c69]Chetan Singh Thakur, Jamal Molin, Ralph Etienne-Cummings, André van Schaik:
Inference in spiking Bayesian neurons using stochastic computation. CISS 2017: 1-4 - [c68]David Karpul, Sarah McIntyre, André van Schaik, Paul P. Breen:
Measurement of perception thresholds for electrical noise stimuli. EMBC 2017: 2166-2169 - [c67]Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik:
EMNIST: Extending MNIST to handwritten letters. IJCNN 2017: 2921-2926 - [i20]Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik:
EMNIST: an extension of MNIST to handwritten letters. CoRR abs/1702.05373 (2017) - 2016
- [j21]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. 63-I(2): 211-221 (2016) - [c66]Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik:
An SRAM-based implementation of a convolutional neural network. BioCAS 2016: 560-563 - [c65]Ying Xu, Chetan Singh Thakur, Ram Kuber Singh, Runchun Wang, Jonathan Tapson, André van Schaik:
Electronic cochlea: CAR-FAC model on FPGA. BioCAS 2016: 564-567 - [c64]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A stochastic approach to STDP. ISCAS 2016: 2082-2085 - [i19]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A Stochastic Approach to STDP. CoRR abs/1603.04080 (2016) - 2015
- [j20]André van Schaik, Jonathan Tapson:
Online and adaptive pseudoinverse solutions for ELM weights. Neurocomputing 149: 233-238 (2015) - [j19]Jonathan Tapson, Gregory Cohen, André van Schaik:
ELM solutions for event-based systems. Neurocomputing 149: 435-442 (2015) - [j18]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): 188-196 (2015) - [c63]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact aVLSI conductance-based silicon neuron. BioCAS 2015: 1-4 - [c62]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: 1-4 - [c61]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: 7675-7678 - [c60]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: 2165-2168 - [c59]Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik:
A neuromorphic hardware framework based on population coding. IJCNN 2015: 1-8 - [c58]Patrick Kasi, Ingvars Birznieks, André van Schaik:
A point process approach to encode tactile afferents. NER 2015: 328-331 - [i18]Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Richard F. Lyon, André van Schaik:
FPGA Implementation of the CAR Model of the Cochlea. CoRR abs/1503.00504 (2015) - [i17]Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik:
A neuromorphic hardware framework based on population coding. CoRR abs/1503.00505 (2015) - [i16]Chetan Singh Thakur, Runchun Wang, Saeed Afshar, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
An Online Learning Algorithm for Neuromorphic Hardware Implementation. CoRR abs/1505.02495 (2015) - [i15]Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch. CoRR abs/1507.02835 (2015) - [i14]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 abs/1507.05695 (2015) - [i13]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact aVLSI conductance-based silicon neuron. CoRR abs/1509.00962 (2015) - [i12]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 abs/1509.00967 (2015) - 2014
- [j17]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): 472-496 (2014) - [j16]Tara Julia Hamilton, Saeed Afshar, André van Schaik, Jonathan Tapson:
Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. Proc. IEEE 102(5): 843-859 (2014) - [j15]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): 453-464 (2014) - [j14]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): 37-46 (2014) - [c57]Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact neural core for digital implementation of the Neural Engineering Framework. BioCAS 2014: 548-551 - [c56]Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
An FPGA design framework for large-scale spiking neural networks. ISCAS 2014: 457-460 - [c55]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: 461 - [c54]Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons. ISCAS 2014: 862-865 - [c53]Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A generalised conductance-based silicon neuron for large-scale spiking neural networks. ISCAS 2014: 1564-1567 - [c52]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: 1853-1856 - [c51]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: 173-176 - [r1]Shih-Chii Liu, André van Schaik:
Neuromorphic Sensors, Cochlea. Encyclopedia of Computational Neuroscience 2014 - [i11]André van Schaik, Jonathan Tapson:
Online and Adaptive Pseudoinverse Solutions for ELM Weights. CoRR abs/1405.7777 (2014) - [i10]Jonathan Tapson, André van Schaik:
ELM Solutions for Event-Based Systems. CoRR abs/1405.7780 (2014) - [i9]Jonathan Tapson, Philip de Chazal, André van Schaik:
Explicit Computation of Input Weights in Extreme Learning Machines. CoRR abs/1406.2889 (2014) - [i8]Philip de Chazal, Jonathan Tapson, André van Schaik:
Learning ELM network weights using linear discriminant analysis. CoRR abs/1406.3100 (2014) - [i7]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 abs/1408.1245 (2014) - [i6]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 abs/1411.2821 (2014) - [i5]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 abs/1412.8307 (2014) - 2013
- [j13]Klaus M. Stiefel, Jonathan Tapson, André van Schaik:
Temporal Order Detection and Coding in Nervous Systems. Neural Comput. 25(2): 510-531 (2013) - [j12]Jonathan Tapson, André van Schaik:
Learning the pseudoinverse solution to network weights. Neural Networks 45: 94-100 (2013) - [c50]Gaetano D. Gargiulo, Jonathan Tapson, André van Schaik, Alistair Lee McEwan, Aravinda Thiagalingam:
Unipolar ECG circuits: Towards more precise cardiac event identification. ISCAS 2013: 662-665 - [c49]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: 1592-1595 - [c48]Andrew P. Nicholson, Julian Jenkins, Astria Nur Irfansyah, Nonie Politi, André van Schaik, Tara Julia Hamilton, Torsten Lehmann:
A 0.3mm2 10-b 100MS/s pipelined ADC using Nauta structure op-amps in 180nm CMOS. ISCAS 2013: 1833-1836 - [i4]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 abs/1304.7118 (2013) - [i3]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 abs/1306.3036 (2013) - 2012
- [c47]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: 679-682 - [c46]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: 461-466 - [c45]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: 1-8 - [c44]Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik:
Online learning in Bayesian Spiking Neurons. IJCNN 2012: 1-6 - [c43]Andrew P. Nicholson, Julian Jenkins, André van Schaik, Tara Julia Hamilton, Torsten Lehmann:
A 1.2V 2-bit phase interpolator for 65nm CMOS. ISCAS 2012: 2039-2042 - [c42]Jonathan Tapson, André van Schaik:
An asynchronous parallel neuromorphic ADC architecture. ISCAS 2012: 2409-2412 - [c41]Runchun Wang, Jonathan Tapson, Tara Julia Hamilton, André van Schaik:
An aVLSI programmable axonal delay circuit with spike timing dependent delay adaptation. ISCAS 2012: 2413-2416 - [i2]Jonathan Tapson, André van Schaik:
Learning the Pseudoinverse Solution to Network Weights. CoRR abs/1207.3368 (2012) - 2011
- [c40]Chong H. Ang, Craig T. Jin, Philip Heng Wai Leong, André van Schaik:
Spiking neural network-based auto-associative memory using FPGA interconnect delays. FPT 2011: 1-4 - [c39]Andrew Wabnitz, Nicolas Epain, André van Schaik, Craig T. Jin:
Time domain reconstruction of spatial sound fields using compressed sensing. ICASSP 2011: 465-468 - [c38]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: 869-872 - 2010
- [c37]Balavelan Thanigaivelan, Adam Postula, Craig T. Jin, André van Schaik, Tara Julia Hamilton:
Symbolic analysis of the Tau Cell log-domain filter using affine MOSFET models. APCCAS 2010: 1095-1098 - [c36]