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 […]
Nagy M., Reguly H., Márkus B. & Fiser J. (2018) Effect of unceartainty in audio-visual cross-modal statistical learning. ECVP 2018 [Abstract]
We investigated visuo-auditory statistical learning by using four visual shape and four auditory sound pairs and creating strong and weak cross-modal quadruples through manipulating how reliably a visual and an auditory pair occurred together across a large number of audio-visual scenes. In Exp 1, only the weak and strong quads were used, while in Exp […]
Stanciu O., Lengyel M., Wolpert D. & Fiser J. (2016) On optimal estimation from correlated samples. ECVP 2016, Perception 45, 228-229 [Abstract]
Optimal estimation from correlated, as opposed to uncorrelated, samples requires different strategies. Given the ubiquity of temporal correlations in the visual environment, if humans are to make decisions efficiently, they should exploit information about the correlational structure of sensory samples. We investigated whether participants were sensitive to the correlation structure of sequential visual samples and […]
Christensen JH., Lengyel M. & Fiser J. (2014) The temporal balance between evidence integration and probabilistic sampling in perceptual decision making. VSS 2014, Journal of Vision 14 (10), 836-836 [Abstract]
Models of evidence integration (EI) assume that the accumulation of external information alone is the dominant process during perceptual decision making until an overt response is made. In contrast, probabilistic sampling (PS) theories of the representation of uncertainty (Fiser at al. 2010) posit that time during perceptual decision making is primarily used for collecting samples […]
Orbán G., Aslin RN. & Fiser J. (2013) Statistical optimal effects of uncertainty in scene segmentation on human learning. BCCCD 2013, Budapest, Hungary [Abstract]
In contrast with the traditional deterministic view of perception, a number of recent studies have argued that it is best captured by probabilistic computations. A crucial aspect of real-world scenes is that conflicting cues render stimuli ambiguous which results in multiple hypotheses being compatible with the stimuli. Although the effects of perceptual uncertainty have been […]
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 […]
Fiser J. (2018) Integrated learning across different levels of statistical structures in orientation discrimination task. International Workshop on Perceptual Learning, French Polynesia [Abstract]
We explored the interaction between perceptual learning and statistical learning, two domains of sensory learning that are traditionally investigated separately. Using a standard perceptual learning protocol, we trained observers to improve their sensitivity to orientation of Gabor patches while differentially manipulating task irrelevant context of the training, such as the background color of the training […]
Christensen JH., Lengyel M. & Fiser J. (2015) The balance between Evidence Integration and Probabilistic Sampling in human during perceptual decision-making behavior with noisy dynamic stimuli. COSYNE 2015, Salt Lake City, UT [Abstract]
Probabilistic models of perception posit that subjective uncertainty related to any perceptual decision is represented in the cortex via probability distributions that encode features in a task-relevant, distributed manner (e.g. Probabilistic Sampling PS, Fiser et. al 2010). According to PS, to achieve any decision, this posterior distribution needs to be sampled through time. However, traditional […]
Arató J. & Fiser J. (2014) Short term and baseline effect in the estimation of probabilistic visual event sequences. VSS 2014,Journal of Vision 14 (10), 373-373 [Abstract]
To understand how people build probabilistic internal representations of their dynamic perceptual environment, it is essential to know how the statistical structures of event sequences are encoded in the brain. Previous attempts either characterized this coding by the structure of short-term repetition/alternations or while acknowledging the importance of long-term baseline probabilities, they failed to explore […]
Haefner RM., Berkes P. & Fiser, J. (2012) Decision-making and attention in a sampling-based neural representations. COSYNE 2012, Frontiers in Neuroscience Conference Abstract: Neural Coding, Decision-Making & Integration in Time. [Abstract]
According to the sampling hypothesis, the activity of sensory cortex can be interpreted as drawing samples from the probability distribution over features that it implicitly represents. Perceptual inference is performed by assuming that the samples are drawn from an internal model that the brain has built of the external world (Fiser et al 2010). We […]