New Publication: A Recurrent Neuronal Model of Predictive Processing

A recurrent neuronal model for the effect of predictions on sensory processes

We are pleased to share our new paper, published in Scientific Reports. We introduce a recurrent neuronal model in which bottom-up sensory signals interact with top-down predictions to shape perceptual processing and decision-making.

After fitting the model to behavioral temporal thresholds, we simulated neural responses from three independent published fMRI studies without refitting the participant-specific parameters. The model reproduced key behavioral and neural response patterns, offering a parsimonious account of how expectations influence sensory processing across levels of analysis.

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Our Lab Presented at the 24th National Neuroscience Congress

Sensory Information Sampling under Perceptual Uncertainty

On September 13, we presented our research at the 24th National Neuroscience Congress (USK 2026), held at Boğaziçi University. Our study examines how much sensory information we gather before making a perceptual decision and how information-seeking behavior changes with perceptual uncertainty and the cost of obtaining additional information.

We thank the congress organizers for the opportunity to share our work and exchange ideas with the neuroscience community.

New TEDU-IRF Project in the Perceptual Neuroscience & Adaptive Behavior Lab

The Dynamics of Adaptive Decision-Making under Perceptual Uncertainty: Information Sampling, Cost, and Non-Decision

Our project, “The Dynamics of Adaptive Decision-Making under Perceptual Uncertainty: Information Sampling, Cost, and Non-Decision,” has been awarded funding by the TED University Institutional Research Fund (TEDU-IRF).

How much information do we gather before reaching a decision, and at what point do we decide that the information we have is sufficient? Especially under high uncertainty, we may need to balance seeking more information against deciding based on what is already available. In this project, our aim is to understand the fundamental mechanisms that shape information gathering and decision-making.

International Symposium on Brain and Cognitive Science (ISBCS) 2026 at TED University

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 & Adaptive Behavior Lab. 

Official website of ISBCS 2026 → 

View highlights from ISBCS 2026 → 

Our Lab Presented Three Posters at ISBCS 2026

We were delighted to present three posters from the Perceptual Neuroscience & Adaptive Behavior 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.

View highlights from our posters → 

New TÜBİTAK Project in the Perceptual Neuroscience & Adaptive Behavior Lab

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.

New Publication: Predictive Processing in Biological Motion Perception

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.

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Our New Book Chapter Is Out!

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.

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Our New Book Is Published!

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.

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