| The source of the symbolic numerical distance and size effects A Krajcsi, G Lengyel, P Kojouharova Frontiers in psychology 7, 1795, 2016 | 101 | 2016 |
| Symbolic number comparison is not processed by the analog number system: Different symbolic and non-symbolic numerical distance and size effects A Krajcsi, G Lengyel, P Kojouharova Frontiers in Psychology 9, 124, 2018 | 50 | 2018 |
| A common probabilistic framework for perceptual and statistical learning J Fiser, G Lengyel Current Opinion in Neurobiology 58, 218-228, 2019 | 36 | 2019 |
| Statistically defined visual chunks engage object-based attention G Lengyel, M Nagy, J Fiser Nature communications 12 (1), 272, 2021 | 33 | 2021 |
| Statistical learning in vision J Fiser, G Lengyel Annual Review of Vision Science 8 (1), 265-290, 2022 | 26 | 2022 |
| Unimodal statistical learning produces multimodal object-like representations G Lengyel, G Žalalytė, A Pantelides, JN Ingram, J Fiser, M Lengyel, ... elife 8, e43942, 2019 | 24 | 2019 |
| The relationship between initial threshold, learning, and generalization in perceptual learning G Lengyel, J Fiser Journal of Vision 19 (4), 28-28, 2019 | 22 | 2019 |
| Processing symbolic numbers: The example of distance and size effects A Krajcsi, P Kojouharova, G Lengyel A life in cognition: Studies in cognitive science in honor of Csaba Pléh …, 2022 | 17 | 2022 |
| Development of preschoolers’ understanding of zero A Krajcsi, P Kojouharova, G Lengyel Frontiers in psychology 12, 583734, 2021 | 17 | 2021 |
| Interference between number magnitude and parity A Krajcsi, G Lengyel, Á Laczkó Experimental Psychology, 2018 | 15 | 2018 |
| Predicting visual attention using the hidden structure in eye-gaze dynamics G Lengyel, K Carlberg, M Samad, TR Jonker CHI2021 Eye movements as an interface to cognitive state (EMICS) workshop …, 2021 | 9 | 2021 |
| Development of Understanding Zero A Krajcsi, P Kojouharova, G Lengyel Preprints, 2017 | 4 | 2017 |
| A General Method for Testing Bayesian Models using Neural Data G Lengyel, S Shivkumar, RM Haefner UniReps: the First Workshop on Unifying Representations in Neural Models …, 2023 | 1 | 2023 |
| Causal inference predicts the transition from integration to segmentation in motion perception B Penaloza, S Shivkumar, G Lengyel, GC DeAngelis, RM Haefner Scientific Reports 14 (1), 27704, 2024 | | 2024 |
| How to reward animals based on their subjective percepts: A Bayesian approach to online estimation of perceptual biases Y Dong, G Lengyel, S Shivkumar, A Anzai, GF DiRisio, RM Haefner, ... bioRxiv, 2024 | | 2024 |
| Causal inference underlies hierarchical motion perception S Shivkumar, B Penaloza, G Lengyel, GC DeAngelis, RM Haefner Journal of Vision 22 (14), 4017-4017, 2022 | | 2022 |
| Contextual learning and inference in perceptual learning G Lengyel, M Lengyel, J Fiser Journal of Vision 22 (14), 3999-3999, 2022 | | 2022 |
| A Common Probabilistic Framework Explaining Learning and Generalization in Perceptual and Statistical Learning G Lengyel https://www.etd.ceu.edu/2022/lengyel_gabor.pdf, 2022 | | 2022 |
| Preschoolers’ Development of Understanding Zero A Krajcsi, P Kojouharova, G Lengyel Preprints, 2020 | | 2020 |
| Can Task-Irrelevant Statistical Structure Enhance Perceptual Learning? G Lengyel, J Fiser Perception 48, 89-89, 2019 | | 2019 |
Jozsef FiserCentral European UniversityVerified email at ceu.edu