{"id":484,"date":"2024-10-27T05:45:57","date_gmt":"2024-10-27T05:45:57","guid":{"rendered":"https:\/\/loopprofitai.com\/trend\/?page_id=484"},"modified":"2026-02-08T16:30:25","modified_gmt":"2026-02-08T16:30:25","slug":"spiking-simulations","status":"publish","type":"page","link":"https:\/\/cmilab.org\/aichip\/spiking-simulations\/","title":{"rendered":"Spiking Simulations"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"484\" class=\"elementor elementor-484\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4507358f e-flex e-con-boxed e-con e-parent\" data-id=\"4507358f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2933c802 elementor-widget__width-inherit elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"2933c802\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Spiking Simulations<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10b20b0b elementor-icon-list--layout-inline elementor-align-start elementor-list-item-link-full_width elementor-invisible elementor-widget elementor-widget-icon-list\" data-id=\"10b20b0b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:200}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"#\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"#\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"icon icon-right-arrow\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Spiking Simulations<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-15ee90ad e-flex e-con-boxed e-con e-parent\" data-id=\"15ee90ad\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-43a973f7 e-con-full e-flex e-con e-child\" data-id=\"43a973f7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6cc0d286 elementor-widget__width-inherit elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"6cc0d286\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Integrating Context-Sensitive Two-Point Neurons for Enhanced Learning and Precision<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17943fb2 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"17943fb2\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:400}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"grid grid-cols-12 gap-4\"><div class=\"col-start-2 col-span-10\"><div class=\"text-gray-300 mb-2\"><p>Going beyond standard backpropagation and building on burst-dependent synaptic plasticity (BDSP) (Payeur, Nature Neuroscience, 2021), we integrate our context-sensitive two-point neuron (CS-TPN) model into biologically plausible two-point neuron (TPN)-driven BDSP. In our model, the CS-TPN is divided into two integration zones: the Somatic Integration Zone (SIZ) and the Apical Integration Zone (AIZ).<\/p><p>At the AIZ, different contextual inputs, including, but not limited to, universal context (C_u), distal context (C_d), proximal context (C_p), and credit assignment (C_e), are represented as contextual voltages that evolve according to independent differential equations. The integrated context (C) is computed from these evolved contextual voltages and eventually affects the SIZ by modulating the receptive current: amplification when C is high and suppression when C is low.<\/p><p>In this scheme, information is encoded through neuronal firing (single spike = blue; burst of spikes = red). The CS-TPN differentiates between irrelevant, relevant, and highly relevant information, no spike, single spike, and burst of spikes, respectively, thereby improving learning efficiency. In the raster plots, CS-TPNs remain largely silent when information is less relevant and become active (bursting) otherwise. It can also be observed that TPNs fire more frequently than CS-TPNs.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-398e8b5 e-flex e-con-boxed e-con e-parent\" data-id=\"398e8b5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3544805 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"3544805\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c18ee4a elementor-widget elementor-widget-image\" data-id=\"c18ee4a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/neurons.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"neurons\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDk3LCJ1cmwiOiJodHRwczpcL1wvY21pbGFiLm9yZ1wvYWljaGlwXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDI0XC8xMFwvbmV1cm9ucy5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"622\" src=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/neurons.png\" class=\"attachment-large size-large wp-image-497\" alt=\"\" srcset=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/neurons.png 998w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/neurons-300x233.png 300w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/neurons-768x597.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7bc7a21 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"7bc7a21\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9f9951c elementor-widget elementor-widget-image\" data-id=\"9f9951c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"dynamic-model\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDk1LCJ1cmwiOiJodHRwczpcL1wvY21pbGFiLm9yZ1wvYWljaGlwXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDI0XC8xMFwvZHluYW1pYy1tb2RlbC5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"776\" src=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model-1024x993.png\" class=\"attachment-large size-large wp-image-495\" alt=\"\" srcset=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model-1024x993.png 1024w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model-300x291.png 300w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model-768x744.png 768w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/dynamic-model.png 1139w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-781b07b e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"781b07b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-26a43cc elementor-widget elementor-widget-image\" data-id=\"26a43cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/learning-plot.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"learning-plot\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDk2LCJ1cmwiOiJodHRwczpcL1wvY21pbGFiLm9yZ1wvYWljaGlwXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDI0XC8xMFwvbGVhcm5pbmctcGxvdC5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"617\" src=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/learning-plot.png\" class=\"attachment-large size-large wp-image-496\" alt=\"\" srcset=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/learning-plot.png 810w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/learning-plot-300x231.png 300w, https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/learning-plot-768x593.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d999f4d e-flex e-con-boxed e-con e-parent\" data-id=\"d999f4d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f5e2764 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"f5e2764\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c94c225 elementor-widget elementor-widget-image\" data-id=\"c94c225\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/potentials.gif\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"potentials\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NTAyLCJ1cmwiOiJodHRwczpcL1wvY21pbGFiLm9yZ1wvYWljaGlwXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDI0XC8xMFwvcG90ZW50aWFscy5naWYifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/cmilab.org\/aichip\/wp-content\/uploads\/2024\/10\/potentials.gif\" class=\"attachment-full size-full wp-image-502\" alt=\"\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4c81b77a e-flex e-con-boxed e-con e-parent\" data-id=\"4c81b77a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8cbfd72 e-con-full e-flex e-con e-child\" data-id=\"8cbfd72\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6454ef5 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"6454ef5\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:400}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"grid grid-cols-12 gap-4\"><div class=\"col-start-2 col-span-10\"><div class=\"text-gray-300 mb-2\"><p>Simulation (spiking XOR gate): (left) TPNs-driven BDSP (Payeur A. and Naud R. et al., Nature neuroscience, 2021). (middle) Proposed CS-TPNs-driven BDSP. (right) Spiking behaviour (blue: TPNs; red: CS-TPNs).<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Spiking Simulations Home Spiking Simulations Integrating Context-Sensitive Two-Point Neurons for Enhanced Learning and Precision Going beyond standard backpropagation and building on burst-dependent synaptic plasticity (BDSP) (Payeur, Nature Neuroscience, 2021), we integrate our context-sensitive two-point neuron (CS-TPN) model into biologically plausible two-point neuron (TPN)-driven BDSP. In our model, the CS-TPN is divided into two integration zones: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-484","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/pages\/484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/comments?post=484"}],"version-history":[{"count":12,"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/pages\/484\/revisions"}],"predecessor-version":[{"id":2116,"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/pages\/484\/revisions\/2116"}],"wp:attachment":[{"href":"https:\/\/cmilab.org\/aichip\/wp-json\/wp\/v2\/media?parent=484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}