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biblio_dvs_emu_paper.bib
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biblio_dvs_emu_paper.bib
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@ARTICLE{delbruckDVS,
author={ Lichtsteiner, P. and Posch, C. and Delbruck, T.},
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@ARTICLE{bernabeDVS,
author={Lenero-Bardallo, J. A. and Serrano-Gotarredona, T. and Linares-Barranco, B.},
journal={IEEE Journal of Solid-State Circuits},
title={A 3.6 us Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor},
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@INPROCEEDINGS{DVSemu,
author={Katz, M. L. and Nikolic, K. and Delbruck, T.},
title={Live demonstration: Behavioural emulation of event-based vision sensors},
year={2012},
booktitle={Circuits and Systems (ISCAS), 2012 IEEE International Symposium on},
pages={736-740},
keywords={cameras;image colour analysis;image resolution;image sensors;peripheral interfaces;DVS+cDVS pixel;PS3-eye camera;activity-driven event-based vision sensor;behavioural emulation;colour QVGA resolution;colour-change sensitive DVS;dynamic vision sensor;high frame-rate USB camera;jAER software project;Brightness;Cameras;Emulation;Image color analysis;Sensors;Software;Voltage control;Associated Track 11.1;Image and Vision Sensors;Sensory Systems},
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VOLUME={2},
YEAR={2009},
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@ARTICLE{spinnakerOverview,
author={ Furber, S. B. and Lester, D. R. and Plana, L. A. and Garside, J. D. and Painkras, E. and Temple, S. and Brown, A. D.},
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title={Overview of the SpiNNaker System Architecture},
year={2013},
volume={62},
number={12},
pages={2454-2467},
keywords={failure analysis;microprocessor chips;neural net architecture;parallel machines;synchronisation;ARM9 cores;SpiNNaker system architecture;billion neurons;bisection bandwidth;component failures;custom interconnect fabric;day-to-day operation;design philosophy;determinism;fault detection;flagship goal;memory coherence;million-core computing engine;parallel machine design;principal axioms;recovery mechanisms;spiking neural network architecture;synchronicity;Biological system modeling;Computer architecture;Network architecture;Neural networks;Program processors;Interconnection architectures;neurocomputers;parallel processors;real-time distributed},
doi={10.1109/TC.2012.142},
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@ARTICLE{mnist,
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journal={Proceedings of the IEEE},
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year={1998},
volume={86},
number={11},
pages={2278-2324},
keywords={backpropagation;convolution;multilayer perceptrons;optical character recognition;2D shape variability;GTN;back-propagation;cheque reading;complex decision surface synthesis;convolutional neural network character recognizers;document recognition;document recognition systems;field extraction;gradient based learning technique;gradient-based learning;graph transformer networks;handwritten character recognition;handwritten digit recognition task;high-dimensional patterns;language modeling;multilayer neural networks;multimodule systems;performance measure minimization;segmentation recognition;Character recognition;Feature extraction;Hidden Markov models;Machine learning;Multi-layer neural network;Neural networks;Optical character recognition software;Optical computing;Pattern recognition;Principal component analysis},
doi={10.1109/5.726791},
ISSN={0018-9219},
month={Nov},}
@Inbook{Rast2015,
author={Rast, Alexander D.
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and Davies, Sergio
and Adams, Samantha V.
and Akolkar, Himanshu
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and Bartolozzi, Chiara
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editor={Arik, Sabri
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title={Neural Information Processing: 22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV},
year={2015},
publisher={Springer International Publishing},
pages={675--684},
isbn={978-3-319-26561-2},
doi={10.1007/978-3-319-26561-2_79},
OPTurl={http://dx.doi.org/10.1007/978-3-319-26561-2_79"}
}
@ARTICLE{SARDAC,
author={Zuch, E. L. },
journal={IEEE Spectrum},
title={Where and when to use which data converter: A broad shopping list of monolithic, hybrid, and discrete-component devices is available; the author helps select the most appropriate},
year={1977},
volume={14},
number={6},
pages={39--43},
keywords={data conversion;data convertor;hybrid component device;monolithic component device},
doi={10.1109/MSPEC.1977.6501498},
ISSN={0018-9235},
month={June},}
@ARTICLE{basab,
author={Bhattacharya, B. Sen and Furber, S. B. },
journal={IEEE Transactions on Neural Networks},
title={Biologically Inspired Means for Rank-Order Encoding Images: A Quantitative Analysis},
year={2010},
volume={21},
number={7},
pages={1087--1099},
keywords={biology computing;cellular biophysics;eye;image coding;FoCal;biologically inspired means;biologically inspired treatment;data redundancy;filter-overlap correction algorithm;foveal-pit model;information retrieval;primate retinal ganglion cell layout;rank-order encoding images;Ganglion cell;lateral inhibition;perceptually important information;rank-order codes;retinal model;Algorithms;Animals;Diagnostic Imaging;Fovea Centralis;Image Processing, Computer-Assisted;Information Storage and Retrieval;Models, Neurological;Neural Inhibition;Neural Networks (Computer);Primates;Reproducibility of Results;Retina;Retinal Ganglion Cells;Visual Pathways},
doi={10.1109/TNN.2010.2048339},
ISSN={1045-9227},
month={July},}
@article{riesenhuber1999hierarchical,
title={Hierarchical models of object recognition in cortex},
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@article{Delorme2001795,
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@article{izhikevich2006polychronization,
author={Izhikevich, Eugene M},
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@book{snyder2012random,
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@inproceedings{delbruck2008frame,
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pages={21--26},
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author={LeCun, Yann and Cortes, Corinna and Burges, Christopher J.C.},
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@online{ wikipedia:ps3eye,
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@inbook {book:ppm,
title = {Pulse Position Modulation},
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publisher = {John Wiley \& Sons, Inc.},
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