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Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution

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Published in:Brain Informatics
Format: Online Article RSS Article
Published: 2026
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container_title Brain Informatics
description
discipline_display Psychiatry and Neurology
discipline_facet Psychiatry and Neurology
format Online Article
RSS Article
genre Journal Article
id rss_article:58947
institution FRELIP
journal_source_facet Brain Informatics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
Psychiatry and Neurology
General
Psychiatry and Neurology
sub_discipline_display General
sub_discipline_facet General
subject_display Psychiatry and Neurology
General
Psychiatry and Neurology
Psychiatry and Neurology
General
Psychiatry and Neurology
subject_facet Psychiatry and Neurology
General
Psychiatry and Neurology
title Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_auth Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_full Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_fullStr Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_full_unstemmed Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_short Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
title_sort modeling 3d mesoscaled neuronal complexity through learning-based dynamic morphometric convolution
topic Psychiatry and Neurology
General
Psychiatry and Neurology
url https://link.springer.com/article/10.1186/s40708-025-00288-5