Hamit Başgöl

Hamit Başgöl

Eberhard Karls Universität Tübingen

Experimental Cognitive Science

Sand 6, F239

72076 Tübingen

Germany

 

E-Mail: hamit.basgoel (at) uni-tuebingen.de

If you want to discuss something, just send me an email.


Research Interests & Short CV

Long CV is here

I study how humans detect, learn, and adapt to regularities in their sensory environment, and how these processes are reflected in physiological arousal associated with pupil size. Using psychophysical experiments and pupillometry, I investigate how the pupil dynamically responds when predictions are violated. In my current research line, I explore how individuals differ in their sensitivity to such changes by experimental studies and if their sensitivies could be estimated based on their pupil size using computational models. We therefore aim to identify general principles of how the brain monitors and updates its internal models of the world.
  • 2012–2016: I studied Psychology (B.A.) at Hacettepe University.
  • 2017–2021: I completed my M.A. in Cognitive Science at Boğaziçi University, working with Dr. Emre Ugur and Dr. Inci Ayhan on event segmentation and time perception.
  • 2022–present: I am a Ph.D. researcher in the Experimental Cognitive Science Group at the University of Tübingen, supervised by Prof. Volker H. Franz and Prof. Peter Dayan.

Conference Presentations and Publications (check CV first)

  • H. Basgol, P. Dayan, and V. H. Franz, Violation of Auditory Regularities is Reflected in Pupil Dynamics, 2024, Cortex, 183, 66-86, 2025, doi: 10.1016/j.cortex.2024.10.023 link

  • H. Basgol, P. Dayan, and V. H. Franz, Violations of Spatiotemporal Visual Regularities lead to Pupil Dilation Responses, Tagung experimentell arbeitender Psycholog:innen; Conference of Experimental Psychologists (TEAP2025), Frankfurt, Germany [accepted poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, Pupil dilation responses to the emergence and violation of visual regularities, Interdisciplinary Advances in Statistical Learning, 2024, Donostia San Sebastian, Spain [talk]

  • H. Basgol, I. Ayhan, E. Ugur, Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments, 2024, Cognitive Systems Research, 101167. link [journal publication]

  • H. Basgol, P. Dayan, and V. H. Franz, How Much Evidence is Required to Detect Spatiotemporal Visual Regularities?, Neurowissenschaftliche Nachwuchskonferenz 2023 (NeNa 2023), Frankfurt, Germany [poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, How Much Evidence is Required to Detect Spatiotemporal Visual Regularities?, Systems Vision Science Summer School and Symposium 2023 (SVS 2023), Tübingen, Germany [poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, Does Pupil-Linked Arousal to Model Reset Require Attention?, Tagung experimentell arbeitender Psycholog:innen; Conference of Experimental Psychologists (TEAP2023), Trier, Germany [poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, Pupil-Linked Arousal is Sensitive to Model Reset but not Model Update, Psychonomics, 2023, Boston, the USA [poster presentation]

  • H. Basgol, I. Ayhan, E. Ugur, Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments, 2022. arXiv preprint arXiv:2210.05710 [submitted]

  • H. Basgol, P. Dayan, and V. H. Franz, Is Pupil-Linked Arousal a Marker of Model Violation but not Model Update?, European Conference on Visual Perception (ECVP), 2022, Nijmegen, the Netherlands [poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, Pupil-Linked Arousal is Sensitive to Model Reset but not Model Update, Cognitive Science Center Tübingen Launch Event, 2022, Tübingen, Germany [poster presentation]

  • H. Basgol, P. Dayan, and V. H. Franz, Investigating Pupil-Linked Arousal to Complex and Statistically Uncertain Auditory Patterns, Tagung experimentell arbeitender Psycholog:innen; Conference of Experimental Psychologists (TeaP2022), 2022, Online [poster presentation]

  • H. Basgol, I. Ayhan, and E. Ugur, Time Perception: A Review on Psychological, Computational and Robotic Models, IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 2, pp. 301-315, June 2022, doi: 10.1109/TCDS.2021.3059045. link [journal publication]

  • H. Basgol, I. Ayhan, and E. Ugur, A Self-Supervised and Predictive Processing-Based Model of Event Segmentation and Learning, the Annual Conference of Cognitive Science Society, 2021, Online [poster presentation]

  • H. Basgol and E. Ugur, Predicting Human Visual Complexity Judgments via Deep Learning, IEEE 28th Signal Processing and Communications Applications Conference (SIU), 2020, doi: 10.1109/SIU49456.2020.9302050, link [conference publication]

  • H. Basgol, I. Ayhan, and E. Ugur, A Computational Model of Event Segmentation and Learning, ISBCS: International Virtual Symposium on Brain and Cognitive Science, Turkey, 2020, link Online [poster presentation]

  • H. Basgol ve E. Ugur, İnsan Görsel Karmaşıklık Kararlarının Derin Öğrenme ile Tahmin Edilmesi, Sinyal ve Iletisim Konferansı, Türkiye, 2020 [conference presentation]

  • H. Basgol ve E. Ugur, Zaman Algısına İlişkin Hesaplamalı Modeller ve Bilişsel Robotbilim Modelleri, Türkiye Robotbilim Konferansı, Türkiye, 2019 [conference presentation]