Exploration of the dynamics of spiking neural networks / F. Rhéaume, DRDC Valcartier ; D. Grenier, Université Laval.: D68-6/005-2013-1E-PDF
"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.
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publications.gc.ca/pub?id=9.882747&sl=0
| Department/Agency | Defence R&D Canada. Defence R&D Canada - Valcartier. |
|---|---|
| Title | Exploration of the dynamics of spiking neural networks / F. Rhéaume, DRDC Valcartier ; D. Grenier, Université Laval. |
| Series title | Technical memorandum ; DRDC Valcartier TM 2011-005 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | "March 2013." Includes bibliographical references (pages 23-25). Includes abstracts and summaries in English and French. |
| Publishing information | Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2013. ©2013 |
| Author / Contributor | Rhéaume, François, 1962- author. |
| Description | 1 online resource (x, 26 pages, 2 unnumbered pages) : illustrations (chiefly colour). |
| Catalogue number |
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| Subject terms | Neural networks (Computer science) Réseaux neuronaux (Informatique) |
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