Koblinger Á., Zoltowski D., Fiser J. & Lengyel M. (2019) Noise or signal? Psychophysical evidence for the role of sensory variability. COSYNE 2019, Lisbon, Portugal [Abstract]

Stimulus-independent fluctuations in the responses of sensory neurons are traditionally considered as mere noise, and thus a source of perceptual ambiguity. In contrast, sampling-based models of perceptual inference suggest that the magnitude of this intrinsic variability acts as a signal: it conveys information about the uncertainty in low-level perceptual estimates. In both cases, to improve […]

Fiser J., Koblinger Á. & Arató J. (2019) Uncertainty-based adjustment of internal model during perceptual sequential decision-making. SNF 2019 [Abstract]

Abstract: Repeated perceptual decision-making is typically investigated under the tacit assumption that each decision is an independent process or, at most, it is influenced by a few decisions made prior to it. We investigated human sequential 2-AFC decision-making under the condition, when more than one aspect of the context could vary during the experiment: both […]

Fiser J., Szabó T., Márkus B. & Nagy M. (2020) Statistical learning of concurrent auditory signals. VSS 2020, Journal of Vision 20 (11), 444-444 [Abstract].

Due to the highly sequential nature of auditory information and its close link to speech in humans, auditory statistical learning (SL) has been viewed predominantly as a special learning related to segmentation in language development. Meanwhile in other modalities, SL has been conceptualized as a general-purpose learning ability of information presented in parallel, which is […]

Garber D. & Fiser J. (2021) Spatial Structure Is Learned through Temporal Coherence in Visual Statistical Learning. APS Virtual Convention [Abstract]

Research on visual statistical learning (VSL) is classically divided into two independent lines: temporal and spatial VSL. However, for observers in real-world environments, spatial patterns unfold over time leading to a fundamental intertwining of both types of regularities. Using a new spatio-temporal VSL setup, we investigated the nature of this interdependence by moving spatially defined […]

Stanciu O. & Fiser J. (2021) Do humans recalibrate the confidence of advisers? CogSci 2021 [Abstract]

In collaborative tasks, humans can make better joint decisions by aggregating individual information in proportion to their communicated confidence (Bahrami et al., 2010). However, if people blindly rely on their partner’s confidence expressions, they could easily reach suboptimal solutions when their collaborator’s confidence judgments are not calibrated to their performance, but for instance exhibit an […]

Garber D. & Fiser J. (2021) Pre-Training Leads to a Structural Novelty Effect in Spatial Visual Statistical Learning. CogSci 2021 [Abstract]

We investigated the influence of structural properties of previously learned stimuli on Spatial Visual Statistical Learning. Participants (n=170) were first exposed to a stream of scenes containing only one type of regularity (horizontal or vertical pairs), followed by a stream containing both types of regularities. We found that participants performed above chance for the pairs […]

Nagy M., Arató J. & Fiser J. (2021) Pupil dynamics signals visuo-spatial statistical learning. VSS 2021, Journal of Vision 21 (9), 2005-2005 [Abstract].

Although statistical learning has been established as an important constituent of human implicit sensory learning capacities, the actual process of statistical learning rather than its outcome is largely unexplored due to the lack of appropriate measures. One candidate measure is changes in pupil diameter, which is known to be influenced by past experiences (e.g., violation […]

Reguly H., Márkus B., Fodor V., Nagy M. & Fiser J. (2021) Statistical learning decreases sensitivity to temporal asynchrony of events within as well as across modalities. VSS 2021, Journal of Vision 21 (9), 2276-2276 [Abstract].

Co-association of an auditory and a visual event due to frequent co-occurrence have been reported to increase the size of their temporal binding window, that is the range of asynchronicity between the onset of the two events at which observers perceive them occurring simultaneously. According to a probabilistic interpretation, co-occurrence strengthens the prior that the […]

Garber D. & Fiser J. (2021) Recovering spatial structure in spatio-temporal visual statistical learning. VSS 2021, Journal of Vision 21 (9), 2160-2160 [Abstract].

While research on visual statistical learning (VSL) is divided into two distinct lines investigating the learning of temporal and spatial regularities separately, such a distinction does not hold in real-world environments, where the two types of regularities are perpetually intertwined as spatial patterns unfold over time. We investigated the interplay between spatial and temporal regularities […]

Stanciu, O . & Fiser , J. (2022) Benefits of active learning for teachers Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44) [Abstract]

Good teachers and good active learners share the ability to generate samples (examples or queries, respectively) that are informative in light of current knowledge. In line with this, the current experiment found that active learners outperformed yoked passive learners in a subsequent category teaching task. The learning task was replicated from Markant and Gurekis (2014) […]