Magas D. & Fiser J. (2023) Probabilistic coding of simple and structured episodic memories 15th Dubrovnik Conference on Cognitive Science Abstract Supplement [Abstract]
Recently, we provided evidence that similarly to simple visual stimuli, such as Gabor patches, rich episodic stimuli are also encoded in and recalled from long-term memory with their subjective uncertainty, indicating a probabilistic representation of memory details. However, it is unknown how this probabilistic form of representation and episodic recall accuracy are affected at various […]
Arató J., Nagy M., & Fiser J. (2024) Pupil and gaze dynamics jointly measure individual statistical learning Conference on Interdisciplinary Advances in Statistical Learning San Sebastian, Spain [Abstract]
Statistical learning is a fundamental mechanism underlying the acquisition of the regularities of the sensory environment, however, understanding of the learning process itself is still rudimentary. We assessed pupil diameter and eye movements as potential continuous indicators of spatial statistical learning in free visual exploration using a gaze-contingent stimulus presentation. In 3 studies (N=154) using […]
Lengyel G., Lengyel M., & Fiser J. (2024) Context-dependent efficient coding links statistical and perceptual learning Conference on Interdisciplinary Advances in Statistical Learning San Sebastian, Spain [Abstract]
Recent studies, employing for example a roving paradigm, established that perceptual learning (PL) is substantially influenced by the statistical structure of the task conditions. However, existing computational models, based primarily on feedforward architectures, struggle to adequately account for these learning effects that depend on higher-level statistical contingencies embedded in the structure of the task. We […]
Garami L., & Fiser J. (2024) Temporal segmentation principles in vision and auditionJournal of Vision 23 [Abstract]
Our sensory system automatically and unconsciously extracts patterns at varying complexity from the environment, and these patterns bias sensitivity to changes, accuracy during recognition, and also guide attention. A growing body of evidence shows that sensory integration starts at low-level cortical areas, as neural correlates of temporal integration (chunking) are already present in the primary […]
Molnar B., Koblinger A., & Fiser J. (2024) Treating logical fallacies in a normative computational framework of perceptual decision making Journal of Vision 23 [Abstract]
Cognitive fallacies are examples of breakdowns in human reasoning in which observers make irrational decisions as evaluated by Bayesian probability calculus. These examples were used for arguing that human reasoning does not operate by the rules of probabilistic computation, in contrast with the surging trend of studies demonstrating that at the level of perceptual decisions, […]
Goertz A., Koblinger A., & Fiser J. (2024) New look at computing meta-d’ for confidence judgements Journal of Vision 23 [Abstract]
In the standard signal detection (SDT) framework, assuming that observers’ decisions (Type 1 decision) and confidence (Type 2 decision) about decisions are based on the same information, their sensitivity (d’) to sensory stimulus can be assessed both from decision accuracy and confidence reports. However, ample empirical evidence indicates that d’ derived from these two sources […]
Koblinger A., Arato J., & Fiser J. (2023) Anatomy of complex perceptual decision making processes in humans Perception 52 45th ECVP Abstract Supplement [Abstract]
Maintaining an accurate internal model of our changing environment is essential for efficient decision-making. Previous studies of perceptual decision making were focusing almost exclusively on overly simplistic situations, in which observed changes could be accounted for by a single parameter of the internal model. We extended these investigations to more realistic situations when changes in […]
Magas D. & Fiser J. (2023) The probabilistic nature of coding episodic memories Perception 52 45th ECVP Abstract Supplement [Abstract]
To generate efficient behavior, probabilistic theories of perception propose to link internal representations and the incoming sensory input based on the subjective uncertainty the observer has about them. Episodic memories, that is episodes experienced earlier by the observer, are a significant part of the internal representations, yet it is unknown whether they are encoded with […]
Garber D., Fiser J. (2022) The Effect of Consolidation on Structure Learning Conference on Interdisciplinary Advances in Statistical Learning San Sebastian, Spain [Abstract]
While studies on spatial visual statistical learning typically focus on specific co-occurrence-based element chunks, they neglect the role of learning of the structure underlying these chunks. We study this structural learning by investigating the effect of first learning only horizontal or vertical shape-pairs on the subsequent learning of both vertical and horizontal (i.e. matching and […]
Fiser J. & Lengyel G. (2022) Statistical learning in vision and beyond Conference on Interdisciplinary Advances in Statistical Learning San Sebastian, Spain [Abstract]
We present a framework in which Perceptual Learning, Statistical Learning and Rule/Abstract learning are not different types of learning but only differently specialized versions of the fundamental learning process, and we argue that this learning process must be captured in its entirety to successfully integrate learning into complex visual processes. First, we demonstrate how recent […]