00000nam 2200000zi 4500 9.882747 CaOODSP 20240219183526 m o d f cr cn||||||||| 191209t20132013quca ob f000 0 eng d CaOODSP eng rda CaOODSP eng eng fre D68-6/005-2013-1E-PDF Rhéaume, François, 1962- author. Exploration of the dynamics of spiking neural networks / F. Rhéaume, DRDC Valcartier ; D. Grenier, Université Laval. Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2013. ©2013 1 online resource (x, 26 pages, 2 unnumbered pages) : illustrations (chiefly colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Technical memorandum ; DRDC Valcartier TM 2011-005 "March 2013." Includes bibliographical references (pages 23-25). "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. Includes abstracts and summaries in English and French. Neural networks (Computer science) Réseaux neuronaux (Informatique) Defence R&D Canada. Defence R&D Canada - Valcartier. Technical memorandum (Defence R&D Canada) DRDC Valcartier TM 2011-005. (CaOODSP)9.820564 PDF 583 KB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-6-005-2013-1-eng.pdf