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.

Extended CV is here


Research Interests

I use psychophysical experiments to understand cognition and behavior. In general, I am interested in the top-down modulation of visual processing. In particular, my current research interest is pupil-linked arousal response to environmental changes and how arousal affects performances in perceptual and cognitive tasks.

CV

I studied Psychology (B.A) at Hacettepe University. Then, I followed my graduate education in Cognitive Science Program at Boğaziçi University under the supervision of Dr. Emre Ugur and Dr. Inci Ayhan. During my M.A, my research focused on investigating time perception in artificial and cognitive systems and exploring event segmentation from the point of view of predictive processing. After writing my thesis entitled "A Computational Model and Psychological Investigation of Event Segmentation and Learning", I graduated from the program in 2021. I am now a member of the Experimental Cognitive Science group and of the joint project named Robust Vision. In our part of the project, my supervisors and I investigate how pupil responds to changes in the environment.

Conference Presentations and Publications

  • 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]