{"id":15347,"date":"2024-02-15T14:20:19","date_gmt":"2024-02-15T13:20:19","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=15347"},"modified":"2024-04-15T15:27:52","modified_gmt":"2024-04-15T13:27:52","slug":"brain-networks-at-the-microscale-visualization-and-modeling","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/brain-networks-at-the-microscale-visualization-and-modeling\/","title":{"rendered":"132. Brain Networks at the Microscale:\u00a0Visualization and Modeling"},"content":{"rendered":"\n<div style=\"height:1px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>Abstract<\/strong><\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">In computational neuroscience, specifically connectomics, building digital models of microscopic neural circuits has become an indispensable tool for analyzing both the structural and functional characteristics of brain networks. This is illustrated by an anatomically detailed model of the rat barrel cortex, which has been successfully used to study structural organization principles and functional mechanisms in cortical networks. An exciting development in the field of connectomics is the increasing availability of large-scale electron microscopy-based reconstructions of neural tissue at ultrastructural resolution which could increase the accuracy of brain network models and lead to new biological insights. While scientific workflows in connectomics are highly data-driven, interactive exploratory analysis, visual inspection, and human intuition are still&nbsp;essential for deriving explanatory insights from large connectome datasets. A particular focus of this talk will therefore be the role of visualization as a powerful technique for researchers to validate, explore, and better understand their data and models.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About<\/strong><\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">Philipp Harth is a research associate at the Visual and Data-Centric Computing department at Zuse Institute Berlin, where he is developing visual analysis tools for connectome research. In his PhD project, Philipp is currently working on computational network models that aim to predict connectivity under different assumptions of synaptic wiring specificity. He holds a Master\u2019s degree in Applied Computer Science from Heidelberg University. Prior to joining Zuse Institute, he worked as a software developer at Carl Zeiss and Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin.<\/p>\n\n\n\n<div style=\"height:100px\" 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=\"576\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-1024x576.png\" alt=\"\" class=\"wp-image-16443\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-1024x576.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-300x169.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-768x432.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-1536x864.png 1536w, https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Philipp Harth \u2013 Visual and Data-Centric Computing, Zuse Institute Berlin<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-15347","seminars","type-seminars","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>132. Brain Networks at the Microscale:\u00a0Visualization and Modeling - Centre for Computational Personalized Medicine<\/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\/brain-networks-at-the-microscale-visualization-and-modeling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"132. 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This is illustrated by an anatomically detailed model of the rat barrel cortex, which has been successfully used to study structural organization principles and functional mechanisms in cortical networks. An exciting development in the field of connectomics is the increasing availability of large-scale electron microscopy-based reconstructions of neural tissue at ultrastructural resolution which could increase the accuracy of brain network models and lead to new biological insights. While scientific workflows in connectomics are highly data-driven, interactive exploratory analysis, visual inspection, and human intuition are still&nbsp;essential for deriving explanatory insights from large connectome datasets. A particular focus of this talk will therefore be the role of visualization as a powerful technique for researchers to validate, explore, and better understand their data and models.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In computational neuroscience, specifically connectomics, building digital models of microscopic neural circuits has become an indispensable tool for analyzing both the structural and functional characteristics of brain networks. This is illustrated by an anatomically detailed model of the rat barrel cortex, which has been successfully used to study structural organization principles and functional mechanisms in cortical networks. An exciting development in the field of connectomics is the increasing availability of large-scale electron microscopy-based reconstructions of neural tissue at ultrastructural resolution which could increase the accuracy of brain network models and lead to new biological insights. While scientific workflows in connectomics are highly data-driven, interactive exploratory analysis, visual inspection, and human intuition are still&nbsp;essential for deriving explanatory insights from large connectome datasets. A particular focus of this talk will therefore be the role of visualization as a powerful technique for researchers to validate, explore, and better understand their data and models.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-vlSkZ6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-TGoZin","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About<\/strong><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About<\/strong><\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-ur8aN1","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-bKyXPh","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Philipp Harth is a research associate at the Visual and Data-Centric Computing department at Zuse Institute Berlin, where he is developing visual analysis tools for connectome research. In his PhD project, Philipp is currently working on computational network models that aim to predict connectivity under different assumptions of synaptic wiring specificity. He holds a Master\u2019s degree in Applied Computer Science from Heidelberg University. Prior to joining Zuse Institute, he worked as a software developer at Carl Zeiss and Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Philipp Harth is a research associate at the Visual and Data-Centric Computing department at Zuse Institute Berlin, where he is developing visual analysis tools for connectome research. In his PhD project, Philipp is currently working on computational network models that aim to predict connectivity under different assumptions of synaptic wiring specificity. He holds a Master\u2019s degree in Applied Computer Science from Heidelberg University. Prior to joining Zuse Institute, he worked as a software developer at Carl Zeiss and Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"epAnimationGeneratedClass":"edplus_anim-ur8aN1","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"id":16443,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-tAUrKC","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/04\/Hearth_Sano_Seminars-1024x576.png\" alt=\"\" class=\"wp-image-16443\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image 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