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040 |aCaOODSP|beng|erda|cCaOODSP
0410 |aeng|beng|bfre
0861 |aD68-6/005-2013-1E-PDF
1001 |aRhéaume, François, |d1962- |eauthor.
24510|aExploration of the dynamics of spiking neural networks / |cF. Rhéaume, DRDC Valcartier ; D. Grenier, Université Laval.
264 1|aQuebec (Quebec) : |bDefence Research and Development Canada - Valcartier, |c2013.
264 4|c©2013
300 |a1 online resource (x, 26 pages, 2 unnumbered pages) : |billustrations (chiefly colour).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aTechnical memorandum ; |vDRDC Valcartier TM 2011-005
500 |a"March 2013."
504 |aIncludes bibliographical references (pages 23-25).
5203 |a"Liquid state machine is a technique that is well-suited for many spatiotemporal pattern recognition tasks found in defence applications. The technique exploits the complex dynamics of spiking neural networks. In general, Liquid state machines use biologically inspired neuron models such as the leaky-integrate-and-fire model. When structured into a network, leaky-integrate-and-fire neurons interact in a complex and a non-linear manner, making it difficult to understand their behavior in response to an input stimulus. In this memorandum, the response of simple neural systems to input stimulus is studied. The goal is to provide a first exploration of the dynamical state of spiking neurons in reaction to their stimulation by continuous inputs. For this purpose, small neural systems made of, respectively, one single neuron, three serial neurons, and a three-by-three network are analyzed"--Abstract, page i.
546 |aIncludes abstracts and summaries in English and French.
650 0|aNeural networks (Computer science)
650 6|aRéseaux neuronaux (Informatique)
7102 |aDefence R&D Canada.
7102 |aDefence R&D Canada - Valcartier.
830#0|aTechnical memorandum (Defence R&D Canada)|vDRDC Valcartier TM 2011-005.|w(CaOODSP)9.820564
85640|qPDF|s583 KB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-6-005-2013-1-eng.pdf