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Domain > cognon.net
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2018-05-03
184.168.186.1
(
ClassC
)
2024-07-14
107.180.12.188
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyDate: Sun, 14 Jul 2024 12:40:00 GMTServer: ApacheLocation: https://cognon.net/Content-Length: 227Content-Type: text/html; charsetiso-8859-1 !DOCTYPE HTML PUBLIC -//IETF//DTD HTML 2.0//EN>html>head>title>301 Moved Permanently/title>/head>body>h1>Moved Permanently/h1>p>The document has moved a hrefhttps://cognon.net/>here/a>./p>/body>/html>
Port 443
HTTP/1.1 200 OKDate: Sun, 14 Jul 2024 12:40:00 GMTServer: ApacheUpgrade: h2,h2cConnection: UpgradeLast-Modified: Fri, 05 Jul 2024 20:29:18 GMTETag: 18a36da-17bc-61c85eaeea380Accept-Ranges: bytesContent-Length: 6076Vary: Accept-EncodingContent-Type: text/html !DOCTYPE HTML PUBLIC -//W3C//DTD HTML 4.01 Transitional//EN https://www.w3.org/TR/html4/loose.dtd>html>!-- InstanceBegin template/Templates/template-main-cognon.dwt codeOutsideHTMLIsLockedfalse -->head>meta http-equivContent-Type contenttext/html; charsetUTF-8>!-- InstanceBeginEditable namedoctitle -->title>Cognon/title>meta contentCognon: This monograph addresses in a new way how brains may use spikes to compute, perceive, and support cognition. It presents and simulates simple novel numerical models of neurons and discusses the relationship between their performance and known neural behavior.>meta keywordscognon, neural, neuron, shannon, spike, computation, synapse, timing, learning, learn, cognition, staelin>link hrefhttps://www.cognon.net/images/favicon_cognon_16.ico relicon typeimage/x-icon/>link hrefhttps://www.cognon.net/images/favicon_cognon_16.ico relshortcut icon typeimage/x-icon/>link hrefhttps://www.cognon.net/images/favicon_cognon_16.gif relicon typeimage/x-icon/>link hrefhttps://www.cognon.net/images/favicon_cognon_16.gif relshortcut icon typeimage/x-icon/>!-- InstanceEndEditable -->!-- InstanceBeginEditable namehead -->!-- InstanceEndEditable -->link hrefcss/cognon_main.css relstylesheet typetext/css>link hrefcss/cognon_print.css relstylesheet typetext/css mediaprint>style typetext/css>/style>script srcSpryAssets/SpryMenuBar.js typetext/javascript>/script>link hrefSpryAssets/SpryMenuBarHorizontal.css relstylesheet typetext/css>!-- Google tag (gtag.js) --> script async srchttps://www.googletagmanager.com/gtag/js?idG-EZM6G4YWFS>/script> script> window.dataLayer window.dataLayer || ; function gtag(){dataLayer.push(arguments);} gtag(js, new Date()); gtag(config, G-EZM6G4YWFS); /script>/head>body classoneColLiqCtrHdr>div idcontainer> div idheader> div classmenuechoices>ul idMenuBar1 classMenuBarHorizontal> li>a hrefabstract.html>Abstract/a>/li> li>a hrefpdfs/Neural_Spike_Computation.pdf>PDF/a>/li> li>a hrefsimulation-code.html>Simulation Code/a>/li> li>a hrefrelated-work.html>Related Work/a>/li> li>a hrefauthors.html>About/a>/li> /ul>/div> a href../../index.html classlogo>Cognon/a> !-- end #header -->/div> div idmainContent>!-- InstanceBeginEditable nameEditRegion4-maintextarea --> h1>Intro/h1> p>Few grand challenges are more daunting than the intertwined mathematical, neurological, and cognitive mysteries of the brain. This monograph addresses all three, beginning with a simple new neural model that uses spike timing, approximates known neural behavior, and is capable of fast learning. The model is validated by both theory and simulations. /p> p>A new Shannon information metric (bits/neuron) that measures the recoverable learned information that resides in synaptic strengths is then derived. By optimizing the learning metric and its related functions, optimum training protocols and neural parameters emerge./p> p>This neuron model is extended to neural layers and how they can be taught sequentially without pattern-specific training signals. A spike-based neural network dual-flow feedback architecture is then discussed as a likely key element of cognition, and is partially validated by natural experiments involving visual anomalies and mild hallucinations./p>br /> p>h2>em>strong>Models for Neural Spike Computation and Cognition/strong>/em> (a hrefpdfs/Neural_Spike_Computation.pdf>PDF/a>)/h2>by David H. Staelin and Carl H. Staelin/p>!--iframe stylewidth:120px;height:240px; marginwidth0 marginheight0 scrollingno frameborder0 src//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion20070822&OneJS1&OperationGetAdHtml&MarketPlaceUS&sourceac&reftf_til&ad_typeproduct_link&tracking_idcognon-20&marketplaceamazon®ionUS&placement1466472227&asins1466472227&linkId4f631aa6d7c7d8009da9074f253fa20f&show_borderfalse&link_opens_in_new_windowfalse&price_color333333&title_color0066C0&bg_colorFFFFFF> /iframe>br /> -->!--a hrefhttps://www.amazon.com/Models-Neural-Spike-Computation-Cognition/dp/1466472227/refsr_1_1?ieUTF8&qid1320617574&sr8-1>Book (Amazon)/a> --> br />br />p>Downloadable Simulation Code br />a hrefsimulationcode/cognon-1.0-rc4.tgz titleCognon Simulation Code - tgz>tgz/a> | a hrefsimulationcode/cognon-1.0-rc4.zip titleCognon Simulation Code - zip>zip/a> | a hrefhttps://code.google.com/p/cognon/ target_blank>code.google.com/a>/p>br />br />br /> !-- end #mainContent -->!-- InstanceEndEditable -->/div> div idfooter> p>em>Models for Neural Spike Computation and Cognition/em>br /> by David H. Staelin and Carl H. Staelinbr />2011br />ISBN-10: 1466472227br />ISBN-13: 978-1466472228/p> p>a rellicense hrefhttps://creativecommons.org/licenses/by/3.0/>img altCreative Commons License styleborder-width:0px; srchttps://i.creativecommons.org/l/by/3.0/88x31.png>/a>br>span xmlns:dcthttps://purl.org/dc/terms/ hrefhttps://purl.org/dc/dcmitype/Text propertydct:title reldct:type>em>Models for Neural Spike Computation and Cognition/em>/span> by a xmlns:cchttps://creativecommons.org/ns# hrefhttps://www.cognon.net/authors.html propertycc:attributionName relcc:attributionURL>David Staelin and Carl Staelin/a> is licensed under a a rellicense hrefhttps://creativecommons.org/licenses/by/3.0/>Creative Commons Attribution 3.0 Unported License/a>./p> !-- end #footer -->/div>!-- end #container -->/div>script typetext/javascript>!--var MenuBar1 new Spry.Widget.MenuBar(MenuBar1, {imgDown:../SpryAssets/SpryMenuBarDownHover.gif, imgRight:../SpryAssets/SpryMenuBarRightHover.gif});//-->/script>/body>!-- InstanceEnd -->/html>
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