Mjesto održavanja/predavač: Seminarska dvorana u prizemlju HIIM-a, 20. prosinca s početkom u 11.00 sati, doc. dr. sc. Andrija Štajduhar

Advancing the study of human cortical cytoarchitecture demands innovative, data-driven methodologies informed by high-resolution imaging and artificial intelligence.

This talk presents recent advancements in a neuron-centric approach to cortical analysis with the BigBrain, focusing on individual neuronal features and their spatial relationships to systematically address the challenges of variability and subjectivity inherent in cytoarchitectonic studies.

Building on the foundational contributions of the Zagreb Brain Collection and the Croatian Institute for Brain Research, this methodology integrates insights from traditional cytoarchitectonic studies with modern computational techniques.

By tracing the evolution of cytoarchitectonic analysis, we demonstrate how explainable machine learning provides a rigorous framework for systematic and reproducible exploration of cortical structure.

This methodology enables large-scale investigations that reveal structural principles within cortical organization, offering a clearer, more objective map of human cortical architecture, underscoring the importance of integrating regional expertise with advanced global research methodologies.