Blog

Dr. Algın and his research collaborators have published a study titled ‘’Primary and nonprimary auditory cortex connectivity with brain regions involved in cognitive and emotional processing: in mouse and human’’ in the internationally respected journal Hearing Research.

This article, based on recent research by Prof. Dr. Oktay Algın and his colleagues, identifies the connections between the auditory cortex and brain regions involved in cognitive and emotional processing. The study employs retrograde fluoro-gold (FG) tracers in mice and 3-tesla high-resolution diffusion tensor imaging (DTI) in human adults. While the neural mechanisms underlying acoustic […]

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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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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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