{"id":30933,"date":"2026-04-26T18:06:59","date_gmt":"2026-04-26T16:06:59","guid":{"rendered":"https:\/\/sano.science\/?p=30933"},"modified":"2026-05-21T18:10:22","modified_gmt":"2026-05-21T16:10:22","slug":"neuronus-2026-how-sano-researchers-are-decoding-the-brain","status":"publish","type":"post","link":"https:\/\/sano.science\/neuronus-2026-how-sano-researchers-are-decoding-the-brain\/","title":{"rendered":"NEURONUS 2026"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-a-closer-look-at-the-brain\">A closer look at the brain\u00a0<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">How can we read the brain\u2019s hidden signals? Can we better predict the effects of stroke or understand the complexity of autism? These were some of the questions explored during the 14th edition of the NEURONUS &amp; Young PTBUN Neuroscience Forum, held on April 24\u201326, 2026, in Krak\u00f3w.&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Organized by students of the Jagiellonian University, NEURONUS has grown into one of Europe\u2019s leading neuroscience conferences. Every two years, it brings together researchers from around the world\u2014from early-career scientists to&nbsp;established&nbsp;experts\u2014to share discoveries, exchange ideas, and build collaborations across disciplines.&nbsp;<\/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-sano-on-the-scientific-stage\">Sano on the scientific stage\u00a0<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Among the active contributors this year was the Sano team, whose members presented their work through both oral presentations and poster sessions. Their research highlighted how advanced data analysis and artificial intelligence are increasingly shaping modern neuroscience.&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Agata Leszczak <\/strong>presented \u201cImproving Ensemble Classification of Stroke Using Selection Pipeline\u201d as both a talk and a poster. Her work focuses on refining machine learning models for stroke classification, with the potential to improve diagnostic accuracy and support more personalized treatment strategies.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/monika-pytlarz\/\" type=\"people\" id=\"12038\">Monika Pytlarz<\/a> also delivered both a presentation and a poster. Her project, \u201cHistology-Informed Tractography Benchmark and Constraint Learning Using Conditional Variational Autoencoder and Registered Proteolipid Protein (PLP) Myelin Histology,\u201d combines histological data with advanced generative models to better reconstruct the brain\u2019s white matter structure.\u00a0<\/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-eye-movements-as-a-window-into-the-brain\">Eye movements as a window into the brain\u00a0<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">A strong theme across several Sano presentations was the use of eye movement patterns as indicators of brain function and dysfunction.&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/katarzyna-libera\/\" type=\"people\" id=\"26575\">Katarzyna Libera<\/a><\/strong>, in her talk \u201cOculomotor Variability from Resting-State fMRI as a Longitudinal Marker of Structural Brain Alterations After Ischemic Stroke,\u201d\u00a0demonstrated\u00a0how subtle variations in eye movements may serve as markers of long-term brain changes following stroke.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/mikolaj-turczyniak\/\" type=\"people\" id=\"26653\">Miko\u0142aj Turczyniak<\/a><\/strong>\u00a0presented a poster titled \u201cDecomposition of Phenotypic Heterogeneity in Autism Reveals Underlying Changes in Oculomotor Patterns,\u201d exploring how differences in\u00a0behavior\u00a0across the autism spectrum relate to distinct eye movement patterns.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/zofia-sikorska\/\" type=\"people\" id=\"26579\">Zofia Sikorska<\/a><\/strong>, in her presentation \u201cOptimizing CNNs for Detecting Low Amplitude Eye Movements from fMRI,\u201d focused on improving neural networks capable of detecting extremely subtle eye movements from fMRI data\u2014something that until recently remained out of reach.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Another contribution came from\u00a0<a href=\"https:\/\/sano.science\/people\/rosmary-blanco\/\" type=\"people\" id=\"557\">Rosmary Blanco<\/a>, who delivered an oral presentation titled \u201cInterpretable Machine Learning Framework Reveals Event-Related and Oscillatory EEG Signatures of Early Cognitive Decline Using a Portable Low-Density EEG Device and Emotive Stimulation Paradigm.\u201d She presented the results of a proof-of-concept study focused on early detection of cognitive decline using portable EEG and explainable AI. The study involved recording EEG signals from 24 participants with a low-density portable device during a stimulation task, followed by the application of interpretable machine learning methods to\u00a0identify\u00a0neurophysiological biomarkers of early impairment. The proposed model achieved an AUROC of 0.93, while SHAP analysis highlighted changes in event-related potential (ERP) latency and oscillatory activity associated with early neurodegenerative processes. These findings point toward the potential of scalable, non-invasive EEG-based tools for accessible and objective dementia screening.\u00a0<\/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-where-neuroscience-meets-ai\">Where neuroscience meets AI\u00a0<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Together, these contributions reflect a broader shift in neuroscience: the growing integration of biology, medicine, and artificial intelligence. By combining these fields, researchers can uncover patterns that would otherwise remain invisible and develop tools with real clinical impact.&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Sano\u2019s presence at NEURONUS 2026 highlights the role of emerging researchers in shaping this future\u2014bridging fundamental science with practical applications that may one day transform how we diagnose and treat neurological conditions.\u00a0<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Read about Sano workshops<\/p>\n\n\n\n\t\n    \n        \n\t\t\t<a href=\"https:\/\/sano.science\/sano-co-organised-a-workshop-at-the-neuronus-young-ptbun-neuroscience-forum\/\" target=\"_blank\" rel= \"noopener noreferrer nofollow\" class=\"button primary \">\n\n\t\t\t\t<span>\n\t\t\t\t\tNeuronus workshops\n\t\t\t\t<\/span>\n\n\t\t\t<\/a>\n\n        \n    \n","protected":false},"excerpt":"How Sano Researchers Are Decoding the Brain\u00a0","author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-30933","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - 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Can we better predict the effects of stroke or understand the complexity of autism? These were some of the questions explored during the 14th edition of the NEURONUS &amp; Young PTBUN Neuroscience Forum, held on April 24\u201326, 2026, in Krak\u00f3w.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">How can we read the brain\u2019s hidden signals? Can we better predict the effects of stroke or understand the complexity of autism? These were some of the questions explored during the 14th edition of the NEURONUS &amp; Young PTBUN Neuroscience Forum, held on April 24\u201326, 2026, in Krak\u00f3w.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-XYjaNc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Organized by students of the Jagiellonian University, NEURONUS has grown into one of Europe\u2019s leading neuroscience conferences. Every two years, it brings together researchers from around the world\u2014from early-career scientists to&nbsp;established&nbsp;experts\u2014to share discoveries, exchange ideas, and build collaborations across disciplines.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Organized by students of the Jagiellonian University, NEURONUS has grown into one of Europe\u2019s leading neuroscience conferences. Every two years, it brings together researchers from around the world\u2014from early-career scientists to&nbsp;established&nbsp;experts\u2014to share discoveries, exchange ideas, and build collaborations across disciplines.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-XkscPN","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-lHdNms","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sano-on-the-scientific-stage\">Sano on the scientific stage\u00a0<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sano-on-the-scientific-stage\">Sano on the scientific stage\u00a0<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-mVnrK7","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Among the active contributors this year was the Sano team, whose members presented their work through both oral presentations and poster sessions. Their research highlighted how advanced data analysis and artificial intelligence are increasingly shaping modern neuroscience.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Among the active contributors this year was the Sano team, whose members presented their work through both oral presentations and poster sessions. Their research highlighted how advanced data analysis and artificial intelligence are increasingly shaping modern neuroscience.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-e5dJBY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Agata Leszczak <\/strong>presented \u201cImproving Ensemble Classification of Stroke Using Selection Pipeline\u201d as both a talk and a poster. Her work focuses on refining machine learning models for stroke classification, with the potential to improve diagnostic accuracy and support more personalized treatment strategies.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Agata Leszczak <\/strong>presented \u201cImproving Ensemble Classification of Stroke Using Selection Pipeline\u201d as both a talk and a poster. Her work focuses on refining machine learning models for stroke classification, with the potential to improve diagnostic accuracy and support more personalized treatment strategies.\u00a0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-wGx0yu","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/monika-pytlarz\/\" type=\"people\" id=\"12038\">Monika Pytlarz<\/a> also delivered both a presentation and a poster. Her project, \u201cHistology-Informed Tractography Benchmark and Constraint Learning Using Conditional Variational Autoencoder and Registered Proteolipid Protein (PLP) Myelin Histology,\u201d combines histological data with advanced generative models to better reconstruct the brain\u2019s white matter structure.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/monika-pytlarz\/\" type=\"people\" id=\"12038\">Monika Pytlarz<\/a> also delivered both a presentation and a poster. Her project, \u201cHistology-Informed Tractography Benchmark and Constraint Learning Using Conditional Variational Autoencoder and Registered Proteolipid Protein (PLP) Myelin Histology,\u201d combines histological data with advanced generative models to better reconstruct the brain\u2019s white matter structure.\u00a0<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-4emJf1","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-IJtF6u","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-eye-movements-as-a-window-into-the-brain\">Eye movements as a window into the brain\u00a0<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-eye-movements-as-a-window-into-the-brain\">Eye movements as a window into the brain\u00a0<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Zy1FOa","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">A strong theme across several Sano presentations was the use of eye movement patterns as indicators of brain function and dysfunction.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">A strong theme across several Sano presentations was the use of eye movement patterns as indicators of brain function and dysfunction.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Z8T4DE","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/katarzyna-libera\/\" type=\"people\" id=\"26575\">Katarzyna Libera<\/a><\/strong>, in her talk \u201cOculomotor Variability from Resting-State fMRI as a Longitudinal Marker of Structural Brain Alterations After Ischemic Stroke,\u201d\u00a0demonstrated\u00a0how subtle variations in eye movements may serve as markers of long-term brain changes following stroke.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/katarzyna-libera\/\" type=\"people\" id=\"26575\">Katarzyna Libera<\/a><\/strong>, in her talk \u201cOculomotor Variability from Resting-State fMRI as a Longitudinal Marker of Structural Brain Alterations After Ischemic Stroke,\u201d\u00a0demonstrated\u00a0how subtle variations in eye movements may serve as markers of long-term brain changes following stroke.\u00a0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-HIhoVC","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/mikolaj-turczyniak\/\" type=\"people\" id=\"26653\">Miko\u0142aj Turczyniak<\/a><\/strong>\u00a0presented a poster titled \u201cDecomposition of Phenotypic Heterogeneity in Autism Reveals Underlying Changes in Oculomotor Patterns,\u201d exploring how differences in\u00a0behavior\u00a0across the autism spectrum relate to distinct eye movement patterns.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/mikolaj-turczyniak\/\" type=\"people\" id=\"26653\">Miko\u0142aj Turczyniak<\/a><\/strong>\u00a0presented a poster titled \u201cDecomposition of Phenotypic Heterogeneity in Autism Reveals Underlying Changes in Oculomotor Patterns,\u201d exploring how differences in\u00a0behavior\u00a0across the autism spectrum relate to distinct eye movement patterns.\u00a0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-yDOgEL","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/zofia-sikorska\/\" type=\"people\" id=\"26579\">Zofia Sikorska<\/a><\/strong>, in her presentation \u201cOptimizing CNNs for Detecting Low Amplitude Eye Movements from fMRI,\u201d focused on improving neural networks capable of detecting extremely subtle eye movements from fMRI data\u2014something that until recently remained out of reach.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/zofia-sikorska\/\" type=\"people\" id=\"26579\">Zofia Sikorska<\/a><\/strong>, in her presentation \u201cOptimizing CNNs for Detecting Low Amplitude Eye Movements from fMRI,\u201d focused on improving neural networks capable of detecting extremely subtle eye movements from fMRI data\u2014something that until recently remained out of reach.\u00a0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-OKvAT7","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Another contribution came from\u00a0<a href=\"https:\/\/sano.science\/people\/rosmary-blanco\/\" type=\"people\" id=\"557\">Rosmary Blanco<\/a>, who delivered an oral presentation titled \u201cInterpretable Machine Learning Framework Reveals Event-Related and Oscillatory EEG Signatures of Early Cognitive Decline Using a Portable Low-Density EEG Device and Emotive Stimulation Paradigm.\u201d She presented the results of a proof-of-concept study focused on early detection of cognitive decline using portable EEG and explainable AI. The study involved recording EEG signals from 24 participants with a low-density portable device during a stimulation task, followed by the application of interpretable machine learning methods to\u00a0identify\u00a0neurophysiological biomarkers of early impairment. The proposed model achieved an AUROC of 0.93, while SHAP analysis highlighted changes in event-related potential (ERP) latency and oscillatory activity associated with early neurodegenerative processes. These findings point toward the potential of scalable, non-invasive EEG-based tools for accessible and objective dementia screening.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Another contribution came from\u00a0<a href=\"https:\/\/sano.science\/people\/rosmary-blanco\/\" type=\"people\" id=\"557\">Rosmary Blanco<\/a>, who delivered an oral presentation titled \u201cInterpretable Machine Learning Framework Reveals Event-Related and Oscillatory EEG Signatures of Early Cognitive Decline Using a Portable Low-Density EEG Device and Emotive Stimulation Paradigm.\u201d She presented the results of a proof-of-concept study focused on early detection of cognitive decline using portable EEG and explainable AI. The study involved recording EEG signals from 24 participants with a low-density portable device during a stimulation task, followed by the application of interpretable machine learning methods to\u00a0identify\u00a0neurophysiological biomarkers of early impairment. The proposed model achieved an AUROC of 0.93, while SHAP analysis highlighted changes in event-related potential (ERP) latency and oscillatory activity associated with early neurodegenerative processes. These findings point toward the potential of scalable, non-invasive EEG-based tools for accessible and objective dementia screening.\u00a0<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-sjujDJ","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-yMYiyf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-where-neuroscience-meets-ai\">Where neuroscience meets AI\u00a0<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-where-neuroscience-meets-ai\">Where neuroscience meets AI\u00a0<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-9mRsQt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Together, these contributions reflect a broader shift in neuroscience: the growing integration of biology, medicine, and artificial intelligence. By combining these fields, researchers can uncover patterns that would otherwise remain invisible and develop tools with real clinical impact.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Together, these contributions reflect a broader shift in neuroscience: the growing integration of biology, medicine, and artificial intelligence. By combining these fields, researchers can uncover patterns that would otherwise remain invisible and develop tools with real clinical impact.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-MYDRk9","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Sano\u2019s presence at NEURONUS 2026 highlights the role of emerging researchers in shaping this future\u2014bridging fundamental science with practical applications that may one day transform how we diagnose and treat neurological conditions.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Sano\u2019s presence at NEURONUS 2026 highlights the role of emerging researchers in shaping this future\u2014bridging fundamental science with practical applications that may one day transform how we diagnose and treat neurological conditions.\u00a0<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-F0eZ9u","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-eesxFs","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Read about Sano workshops<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Read about Sano workshops<\/p>\n"]},{"blockName":"acf\/button","attrs":{"title":"Neuronus workshops","button_type":"link","url":"https:\/\/sano.science\/sano-co-organised-a-workshop-at-the-neuronus-young-ptbun-neuroscience-forum\/","button_style":"primary","target":"_blank","button_extra_classes":""},"innerBlocks":[],"innerHTML":"","innerContent":[]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":false,"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"digital-lifelines-in-practice"},"next_page":{"slug":"integrating-krakows-bioinformatics-community"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/30933","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=30933"}],"version-history":[{"count":11,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/30933\/revisions"}],"predecessor-version":[{"id":30945,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/30933\/revisions\/30945"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=30933"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=30933"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=30933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}