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Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement

Oct 22, 2020
Adithya Krishna, André van Schaik, Chetan Singh Thakur


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Event-based Feature Extraction Using Adaptive Selection Thresholds

Jul 30, 2019
Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen

* 15 Pages. 9 Figures 

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Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

May 23, 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


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EMNIST: an extension of MNIST to handwritten letters

Mar 01, 2017
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

* The dataset is now available for download from https://www.westernsydney.edu.au/bens/home/reproducible_research/emnist. This link is also included in the revised article 

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A Stochastic Approach to STDP

Mar 13, 2016
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

* IEEE-International Symposium on Circuits and Systems (ISCAS)-2016 

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Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

Jul 22, 2015
Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, André van Schaik, Jonathan Tapson

* Accepted for publication; 9 pages of text, 6 figures and 1 table 

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A neuromorphic hardware framework based on population coding

Mar 02, 2015
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik

* In submission to IJCNN2015 

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FPGA Implementation of the CAR Model of the Cochlea

Mar 02, 2015
Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Richard F. Lyon, André van Schaik

* ISCAS-2014 

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Learning ELM network weights using linear discriminant analysis

Jun 12, 2014
Philip de Chazal, Jonathan Tapson, André van Schaik

* In submission to the ELM 2014 conference 

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Explicit Computation of Input Weights in Extreme Learning Machines

Jun 11, 2014
Jonathan Tapson, Philip de Chazal, André van Schaik

* In submission for the ELM 2014 Conference 

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ELM Solutions for Event-Based Systems

May 30, 2014
Jonathan Tapson, André van Schaik

* Accepted for publication in Neurocomputing 

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Online and Adaptive Pseudoinverse Solutions for ELM Weights

May 30, 2014
André van Schaik, Jonathan Tapson

* Accepted for publication in Neurocomputing 

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