{"id":19221,"date":"2024-10-09T18:42:56","date_gmt":"2024-10-09T16:42:56","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=19221"},"modified":"2024-10-11T17:57:56","modified_gmt":"2024-10-11T15:57:56","slug":"on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\/","title":{"rendered":"143. On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\"><strong>Abstract<\/strong><\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">One of the key challenges in neuroscience is to generate the human nanoscale connectome which requires comprehensive knowledge of the&nbsp;synaptome&nbsp;forming the neural microcircuit. The synaptic architecture determines the limits of individual mental capacity and provides the framework for understanding neurologic disorders. This talk will address morphology modeling and storage estimation for the human&nbsp;synaptome&nbsp;at the nanoscale.&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">A synapse is defined as a pair of pairs [(presynaptic_neuron, (presynaptic_axonal_terminal); (postsynaptic_neuron), (postsynaptic_dendritic_terminal)]. Center coordinates, radius, and identifier characterize a dendritic or axonal terminal. A synapse comprises topology with the paired neuron and terminal identifiers, location with terminal coordinates, and geometry with terminal radii.&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The storage required for the&nbsp;synaptome&nbsp;depends on the number of synapses and storage necessary for a single synapse determined by a synaptic model. I introduce three synaptic models: topologic with topology, point with topology and location, and geometric with topology, location, and geometry. To accommodate for a wide range of variations in the numbers of neurons and synapses reported in the literature, four cases of neurons (30;86;100;138 billion) and three cases of synapses per neuron (1,000;10,000;30,000) are considered with three full and simplified (to reduce storage) synaptic models resulting in total 72 cases of storage estimation.&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The topologic model is sufficient to compute the connectome\u2019s topology, but it is still too big to be stored on today\u2019s top supercomputers related to neuroscience. Frontier, the world\u2019s most powerful supercomputer for 86 billion neurons can handle the nanoscale&nbsp;synaptome&nbsp;in the range of 1,000\u201310,000 synapses per neuron. To my best knowledge, this is the first big data work attempting to provide storage estimation for the human nanoscale&nbsp;synaptome.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-author\"><strong>About the author:<\/strong><\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/wieslaw-nowinski\/\">Prof. Wieslaw L. Nowinski<\/a>, D.Sc., Ph.D. \u2013 scientist, innovator, entrepreneur, manager, pioneer, and visionary; science-medicine-art \u201cbridge builder\u201d;&nbsp;creator of \u201cworld\u2019s most gorgeous\u201d human brain atlases.Dr. Nowinski and his team created 51 diverse <strong>human brain atlases<\/strong>, including 35 brain atlas products used worldwide in neurosurgery, neuroradiology, neurology, neuroscience, human brain mapping, and neuroeducation. The professor is affiliated with four of the world\u2019s top 10 universities (according to the Shanghai domain ranking).  Dr. Nowinski has&nbsp;606&nbsp;scientific publications, as well as 71 patents granted (23 US, 11 EP, 33 SG, 4 DE) and 68 patent applications.&nbsp;It is possible to download the latest Nowinski atlas and &nbsp;list of&nbsp;papers at&nbsp;<a href=\"https:\/\/www.wieslawnowinski.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">www.wieslawnowinski.com<\/a>.<\/p>\n\n\n\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-1024x536.png\" alt=\"\" class=\"wp-image-19235\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-1024x536.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-300x157.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-768x402.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\" eplus-wrapper\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wieslaw L. Nowinski, Senior Postdoctoral Researcher Sano Centre for Computational Medicine, Krakow, Poland<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-19221","seminars","type-seminars","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>143. On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/seminars\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"143. On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation\" \/>\n<meta property=\"og:description\" content=\"Wieslaw L. Nowinski, Senior Postdoctoral Researcher Sano Centre for Computational Medicine, Krakow, Poland\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/seminars\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-11T15:57:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/seminars\\\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\\\/\",\"name\":\"143. 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On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sano.science\/seminars\/on-human-nanoscale-synaptome-morphology-modeling-and-storage-estimation\/","og_locale":"en_US","og_type":"article","og_title":"143. On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation","og_description":"Wieslaw L. 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On human nanoscale\u00a0synaptome: Morphology modeling and storage estimation"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-s2rjrY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\"><strong>Abstract<\/strong><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\"><strong>Abstract<\/strong><\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Fvsdci","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">One of the key challenges in neuroscience is to generate the human nanoscale connectome which requires comprehensive knowledge of the&nbsp;synaptome&nbsp;forming the neural microcircuit. The synaptic architecture determines the limits of individual mental capacity and provides the framework for understanding neurologic disorders. This talk will address morphology modeling and storage estimation for the human&nbsp;synaptome&nbsp;at the nanoscale.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">One of the key challenges in neuroscience is to generate the human nanoscale connectome which requires comprehensive knowledge of the&nbsp;synaptome&nbsp;forming the neural microcircuit. The synaptic architecture determines the limits of individual mental capacity and provides the framework for understanding neurologic disorders. This talk will address morphology modeling and storage estimation for the human&nbsp;synaptome&nbsp;at the nanoscale.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-atDdUf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">A synapse is defined as a pair of pairs [(presynaptic_neuron, (presynaptic_axonal_terminal); (postsynaptic_neuron), (postsynaptic_dendritic_terminal)]. Center coordinates, radius, and identifier characterize a dendritic or axonal terminal. A synapse comprises topology with the paired neuron and terminal identifiers, location with terminal coordinates, and geometry with terminal radii.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">A synapse is defined as a pair of pairs [(presynaptic_neuron, (presynaptic_axonal_terminal); (postsynaptic_neuron), (postsynaptic_dendritic_terminal)]. Center coordinates, radius, and identifier characterize a dendritic or axonal terminal. A synapse comprises topology with the paired neuron and terminal identifiers, location with terminal coordinates, and geometry with terminal radii.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-JIe8wj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The storage required for the&nbsp;synaptome&nbsp;depends on the number of synapses and storage necessary for a single synapse determined by a synaptic model. I introduce three synaptic models: topologic with topology, point with topology and location, and geometric with topology, location, and geometry. To accommodate for a wide range of variations in the numbers of neurons and synapses reported in the literature, four cases of neurons (30;86;100;138 billion) and three cases of synapses per neuron (1,000;10,000;30,000) are considered with three full and simplified (to reduce storage) synaptic models resulting in total 72 cases of storage estimation.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The storage required for the&nbsp;synaptome&nbsp;depends on the number of synapses and storage necessary for a single synapse determined by a synaptic model. I introduce three synaptic models: topologic with topology, point with topology and location, and geometric with topology, location, and geometry. To accommodate for a wide range of variations in the numbers of neurons and synapses reported in the literature, four cases of neurons (30;86;100;138 billion) and three cases of synapses per neuron (1,000;10,000;30,000) are considered with three full and simplified (to reduce storage) synaptic models resulting in total 72 cases of storage estimation.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-uEbFZd","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The topologic model is sufficient to compute the connectome\u2019s topology, but it is still too big to be stored on today\u2019s top supercomputers related to neuroscience. Frontier, the world\u2019s most powerful supercomputer for 86 billion neurons can handle the nanoscale&nbsp;synaptome&nbsp;in the range of 1,000\u201310,000 synapses per neuron. To my best knowledge, this is the first big data work attempting to provide storage estimation for the human nanoscale&nbsp;synaptome.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The topologic model is sufficient to compute the connectome\u2019s topology, but it is still too big to be stored on today\u2019s top supercomputers related to neuroscience. Frontier, the world\u2019s most powerful supercomputer for 86 billion neurons can handle the nanoscale&nbsp;synaptome&nbsp;in the range of 1,000\u201310,000 synapses per neuron. To my best knowledge, this is the first big data work attempting to provide storage estimation for the human nanoscale&nbsp;synaptome.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-Xjmrzp","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-author\"><strong>About the author:<\/strong><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-author\"><strong>About the author:<\/strong><\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-YJ68ci","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/wieslaw-nowinski\/\">Prof. Wieslaw L. Nowinski<\/a>, D.Sc., Ph.D. \u2013 scientist, innovator, entrepreneur, manager, pioneer, and visionary; science-medicine-art \u201cbridge builder\u201d;&nbsp;creator of \u201cworld\u2019s most gorgeous\u201d human brain atlases.Dr. Nowinski and his team created 51 diverse <strong>human brain atlases<\/strong>, including 35 brain atlas products used worldwide in neurosurgery, neuroradiology, neurology, neuroscience, human brain mapping, and neuroeducation. The professor is affiliated with four of the world\u2019s top 10 universities (according to the Shanghai domain ranking).  Dr. Nowinski has&nbsp;606&nbsp;scientific publications, as well as 71 patents granted (23 US, 11 EP, 33 SG, 4 DE) and 68 patent applications.&nbsp;It is possible to download the latest Nowinski atlas and &nbsp;list of&nbsp;papers at&nbsp;<a href=\"https:\/\/www.wieslawnowinski.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">www.wieslawnowinski.com<\/a>.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/wieslaw-nowinski\/\">Prof. Wieslaw L. Nowinski<\/a>, D.Sc., Ph.D. \u2013 scientist, innovator, entrepreneur, manager, pioneer, and visionary; science-medicine-art \u201cbridge builder\u201d;&nbsp;creator of \u201cworld\u2019s most gorgeous\u201d human brain atlases.Dr. Nowinski and his team created 51 diverse <strong>human brain atlases<\/strong>, including 35 brain atlas products used worldwide in neurosurgery, neuroradiology, neurology, neuroscience, human brain mapping, and neuroeducation. The professor is affiliated with four of the world\u2019s top 10 universities (according to the Shanghai domain ranking).  Dr. Nowinski has&nbsp;606&nbsp;scientific publications, as well as 71 patents granted (23 US, 11 EP, 33 SG, 4 DE) and 68 patent applications.&nbsp;It is possible to download the latest Nowinski atlas and &nbsp;list of&nbsp;papers at&nbsp;<a href=\"https:\/\/www.wieslawnowinski.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">www.wieslawnowinski.com<\/a>.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"80px","epAnimationGeneratedClass":"edplus_anim-Lq4VKF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"id":19235,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-KdD6r3","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-1024x536.png\" alt=\"\" class=\"wp-image-19235\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/10\/On-human-nanoscale-synaptome-Prof.-Nowinski-1024x536.png\" alt=\"\" class=\"wp-image-19235\"\/><\/figure>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-oEHnkP","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><\/p>\n"]}],"meta_data":{"event_day":"2024-10-14","event_time":"14.00 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(CEST)","link":""},{"icon":{"ID":1146,"id":1146,"title":"camera","filename":"camera.svg","filesize":1129,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/camera\/","alt":"camera Sano Seminar","author":"7","description":"","caption":"Sano Seminar camera","name":"camera","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:25:24","modified":"2024-10-09 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on","link":{"title":"seminar.sano.science","url":"https:\/\/us06web.zoom.us\/j\/81263292238#success","target":"_blank"}}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/19221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/seminars"}],"version-history":[{"count":11,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/19221\/revisions"}],"predecessor-version":[{"id":19272,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/19221\/revisions\/19272"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=19221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}