{"id":2687,"date":"2024-04-09T11:13:22","date_gmt":"2024-04-09T14:13:22","guid":{"rendered":"https:\/\/icc.fcen.uba.ar\/?p=2687"},"modified":"2024-04-09T11:13:22","modified_gmt":"2024-04-09T14:13:22","slug":"quantization-based-simulation-of-spiking-neurons-theoretical-properties-and-performance-analysis","status":"publish","type":"post","link":"https:\/\/icc.fcen.uba.ar\/en\/quantization-based-simulation-of-spiking-neurons-theoretical-properties-and-performance-analysis\/","title":{"rendered":"Quantization-based simulation of spiking neurons: theoretical properties and performance analysis"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1144px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>Authors: Mariana Bergonzia, Joaqu\u00edn Fern\u00e1ndez, Rodrigo Castro, Alexandre Muzye and Ernesto Kofman.<\/p>\n<p>Abstract: In this work we present an exhaustive analysis of the use of Quantized State Systems (QSS)<br \/>\nalgorithms for the discrete event simulation of Leaky Integrate and Fire models of spiking<br \/>\nneurons. Making use of some properties of these algorithms, we first derive theoretical error<br \/>\nbounds for the sub-threshold dynamics as well as estimates of the computational costs as<br \/>\na function of the accuracy settings. Then, we corroborate those results on different simulation<br \/>\nexperiments, where we also study how these algorithms scale with the size of the network and<br \/>\nits connectivity. The results obtained show that the QSS algorithms, without any type of<br \/>\noptimisation or specialisation, obtain accurate results with low computational costs even in<br \/>\nlarge networks with a high level of connectivity<\/p>\n<p>More information:\u00a0<a href=\"https:\/\/ri.conicet.gov.ar\/bitstream\/handle\/11336\/231433\/CONICET_Digital_Nro.c5cb4ef5-4f1a-44ab-9694-544cf0bec20f_B.pdf?sequence=2\" target=\"_blank\" rel=\"noopener\">https:\/\/ri.conicet.gov.ar\/bitstream\/handle\/11336\/231433\/CONICET_Digital_Nro.c5cb4ef5-4f1a-44ab-9694-544cf0bec20f_B.pdf?sequence=2<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":9,"featured_media":2688,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[98],"tags":[],"class_list":["post-2687","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-papers"],"_links":{"self":[{"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/posts\/2687","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/comments?post=2687"}],"version-history":[{"count":1,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/posts\/2687\/revisions"}],"predecessor-version":[{"id":2689,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/posts\/2687\/revisions\/2689"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/media\/2688"}],"wp:attachment":[{"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/media?parent=2687"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/categories?post=2687"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icc.fcen.uba.ar\/en\/wp-json\/wp\/v2\/tags?post=2687"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}