Established in 2022, we are affiliated with the Psychology Department of TED University. Our lab investigates how the brain learns regularities from the environment and uses them to guide perceptual decision-making, attention, and behaviour.
We study how expectations emerge from experience and interact with incoming ambiguous sensory signals through the interplay of top-down and bottom-up processes.
Our research combines methods from psychophysics, computational modelling, and functional magnetic resonance imaging (fMRI) to understand how the brain supports adaptive behaviour in uncertain environments.
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Recent updates from the Perceptual Neuroscience Lab.
We were proud to organize and host the 12th ISBCS at TED University, bringing together researchers from psychology, neuroscience, artificial intelligence, cognitive science, and related fields through inspiring keynote talks, dynamic poster presentations, and lively scientific discussions. ISBCS 2026 was a very special and meaningful experience for the Perceptual Neuroscience Lab.
We were delighted to present three posters from the Perceptual Neuroscience Lab at ISBCS 2026. The symposium provided a valuable opportunity for our lab members to share their work, exchange ideas, and receive thoughtful feedback from the broader scientific community.
The Interaction of Semantic Meaning and Physical Context in Scene-Object Relations
A new project from our lab has been awarded funding by the Scientific and Technological Research Council of Turkey (TÜBİTAK) under the 1002 program. Using behavioral experiments and modelling, the project examines how semantic and physical contextual cues interact with sensory uncertainty in shaping perceptual decisions.
Predictive processing in biological motion perception: Evidence from human behavior
We are happy to share our latest paper, published in Perception. In this study, we show that moderately reliable action-related expectations can shape how we perceive biological motion.
These findings support predictive processing accounts and highlight the role of top-down influences in dynamic social perception.
Our latest chapter, Dikkatin Nöral Mekanizmaları, is now published in Bilişsel İşlevlerin Amaca Yönelik ve Adaptif Boyutları. In this chapter, we examine bottom-up and top-down attention mechanisms, ventral and dorsal networks, and their role in cognition and clinical applications.
We are thrilled to announce the publication of Nörondan Algoritmaya Davranışı Anlamak. Our chapter, Ön Bilgi ve Beklentilerin Görsel Algı Üzerindeki Etkileri: Davranış ve Hesaplamalı Modeller, explores how expectations shape perception through behavioral findings and computational models.
