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001048781 037__ $$aFZJ-2025-04896
001048781 041__ $$aEnglish
001048781 1001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b0$$eCorresponding author$$ufzj
001048781 1112_ $$a9th BigBrain Workshop - HIBALL Closing Symposium$$cBerlin$$d2025-10-27 - 2025-10-29$$wGermany
001048781 245__ $$aCytoNet: A Foundation Model for the Human Cerebral Cortex - Applications in BigBrain and Beyond
001048781 260__ $$c2025
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001048781 520__ $$aCytoNet: A Foundation Model for the Human Cerebral Cortex - Applications in BigBrain and Beyond 28 Oct 2025, 12:00 15m Langenbeck-Virchow-HausTalk Session 1: Multiscale Data Integration & AI-based ProcessingSpeaker Christian Schiffer (Forschungszentrum Jülich)DescriptionMicroscopic analysis of cytoarchitecture in the human cerebral cortex is essential for understanding the anatomical basis of brain function. We present CytoNet, a foundation model that encodes high-resolution microscopic image patches into expressive feature representations suitable for whole-brain analysis. CytoNet leverages the spatial relationship between anatomical proximity and microstructural similarity to learn biologically meaningful features using self-supervised learning, without the need for manual annotations. The learned features are consistent across regions and subjects, can be computed at arbitrarily dense sampling locations, and support a wide range of neuroscientific analyses. We demonstrate state-of-the-art performance for brain area classification, cortical layer segmentation, morphological parameter estimation, and unsupervised parcellation. As a foundation model, CytoNet provides a unified representation of cortical microarchitecture and establishes a basis for comprehensive analyses of cytoarchitecture and its relationship to other structural and functional principles at the whole-brain level.
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001048781 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
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001048781 536__ $$0G:(DE-Juel1)JL SMHB-2021-2027$$aJL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)$$cJL SMHB-2021-2027$$x5
001048781 7001_ $$0P:(DE-Juel1)167110$$aSpitzer, Hannah$$b1
001048781 7001_ $$0P:(DE-Juel1)171152$$aKropp, Jan-Oliver$$b2$$ufzj
001048781 7001_ $$0P:(DE-Juel1)132488$$aThönnissen, Andre$$b3$$ufzj
001048781 7001_ $$0P:(DE-HGF)0$$aBerr, Katja$$b4
001048781 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b5$$ufzj
001048781 7001_ $$0P:(DE-Juel1)198947$$aBoztoprak, Zeynep$$b6$$ufzj
001048781 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b7$$ufzj
001048781 8564_ $$uhttps://events.hifis.net/event/2171/contributions/19159/
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001048781 9141_ $$y2025
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