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• W2062044353 abstract "Event Abstract Back to Event Challenges for implementations of delay-coded neuromorphic neural networks on embedded digital hardware Laszlo Bako1* and Iuliu Szekely2 1 Transilvania University of Brasov, Electronic Engineering and Telecomm., Romania 2 Transilvania University of Brasov, Romania Introduction:Recent trends in computational intelligence have indicated a strong tendency towards forming a better understanding of biological systems and the details of neuronal signal processing. Spiking neural networks (SNNs) differ from conventional Artificial Neural Network (ANN) models as information is transmitted by means of spikes rather than by firing rates.Presented is a SNN architecture implemented on digital reconfigurable hardware circuits (FPGAs), that uses time as a coding mechanism. Input values are encoded into delayed spikes transmitted through the network. The SNN's model is the leaky Integrate-And-Fire spiking neuron, adapted to suit the FPGA implementation. Synapses work in parallel, instantiated as individual circuit modules, while embedded soft-core microcontrollers are used to implement the soma algorithm. A frequency-component analysis application along with a benchmark test (IRIS dataset) is presented. INCf-09-114-2 INCF-09-114-4 INCF-09-114-3 INCF-09-114-1 Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Poster Presentation Topic: Large scale modeling Citation: Bako L and Szekely I (2019). Challenges for implementations of delay-coded neuromorphic neural networks on embedded digital hardware. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.050 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 May 2009; Published Online: 09 May 2019. * Correspondence: Laszlo Bako, Transilvania University of Brasov, Electronic Engineering and Telecomm., Brasov, Romania, lbako@ms.sapientia.ro Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Laszlo Bako Iuliu Szekely Google Laszlo Bako Iuliu Szekely Google Scholar Laszlo Bako Iuliu Szekely PubMed Laszlo Bako Iuliu Szekely Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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• W2062044353 title "Challenges for implementations of delay-coded neuromorphic neural networks on embedded digital hardware" @default.
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