Blog

The Neurobiological Mechanisms Underlying Stress Susceptibility

Emine Eren Koçak Hacettepe University Date/Time: Thursday, 22 January 2026, 16:30 am Place: Aysel Sabuncu Brain Research Center Seminar Room (SC-106)   Abstract: One of the most fundamental questions in psychiatry is why certain individuals develop mental disorders after exposure to stressors while others don’t. This talk explores the neurobiological basis of stress susceptibility. Dendritic […]

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Dr. Algın ve birlikte çalıştıkları araştırmacıların ‘İşitsel korteksin birincil ve ikincil bağlantılarının bilişsel ve duygusal işlemeyle ilgili beyin bölgeleriyle ilişkisi’ adlı çalışması Hearing Research adlı uluslararası saygın dergide yayınlandı.

Prof. Dr. Oktay ALGIN ve birlikte çalıştıkları bilim adamlarının son zamanlarda yaptıkları araştırmaların sonucu olarak yayınlanan makalede farelerde retrograd floro-altın (FG) izleyici ve insan yetişkinlerinde 3-tesla yüksek çözünürlüklü difüzyon tensör traktografisi (DTI) kullanarak işitsel korteks ile bilişsel ve duygusal işlemeye dahil olan beyin bölgeleri arasındaki bağlantılar tanımlanmıştır. İşitsel yol boyunca akustik bilgi işlemenin altında yatan […]

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Human-Robot Interaction as Distributed Cognition: Joint Action, Embodiment, and Situated Interaction

Bilge Mutlu University of Wisconsin–Madison Date/Time: Tuesday, 6 January 2026, 11:00 am Place: Aysel Sabuncu Brain Research Center Seminar Room (SC-106)   Abstract: Human-robot interaction is often framed in terms of interfaces, autonomy, or task performance. In this talk, I argue that HRI is more productively understood as the study of distributed cognitive systems where […]

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Keeping in Mind What’s Worth Keeping: How the Mind Reactivates What Matters

Eren Günseli Sabancı University Date/Time: Thursday, 11 December 2025, 16:30 pm Place: Aysel Sabuncu Brain Research Center Seminar Room (SC-106)   Abstract: Working memory is often described as a mental workspace that actively keeps task-relevant information online. Yet, sustaining such activation is metabolically costly and unnecessary when familiar contexts or rules can automatically cue what […]

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GraphTeacher: Transductive Fine-Tuning of Encoders through Graph Neural Networks

We are proud to announce the GraphTeacher, which is now published in IEEE Transactions on Artificial Intelligence! GraphTeacher tackles a core NLP challenge—scarce labeled data—by integrating GNNs into the fine-tuning of transformer encoders to exploit unlabeled data while excluding test nodes from the graph, eliminating re-graphing and enabling inductive, single-instance inference. 🔬 Evaluated on GLUE […]

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