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SERAP AYDIN

Professor

Identity

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I bridge the gap between biophysics, computational neuroscience, and clinical applications. As a neuroscientist and Professor of Biophysics, my passion lies in decoding the complex language of the human brain. I harness advanced electrophysiological methods, graph theory, neural mass modeling, and machine learning to map out dynamic brain networks exploring how we process emotions, perceive sensory signals, and regulate our cognitive states.My fields of expertise include investigating the neural markers of emotional processing, recognition, and regulation using high density task based and resting-state EEG. In addition, I have studied on Complex Network Architectures including transforming raw neural signals into actionable data through graph-theoretical analysis, phase connectivity metrics, and optimized signal processing. My other studies focus on Precision Biomarkers referring identification of neurophysiological signatures for neuropsychiatric conditions to support diagnosis, intervention, and personalized healthcare solutions.nBrain research thrives at the intersection of disciplines. I am open to innovative, cross-field collaborations, whether with AI ML researchers, clinicians, computational biologists, psychologists or industry partners looking to translate neuroimaging data into scalable real-world insights.

Journals & editorial roles

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Referenced across the research world

University of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logoUniversity of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logo
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