Ledley J. & Fiser J. (2015) Generalizing visual rules in 3-dimensional perceptual space. Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain [Abstract]
Although visual rule learning has been viewed as a potential candidate of how humans develop higher-order internal representations, typical rule-learning experiments have focused on the ability to extract abstract rules defined by element repetition rather than regularities based on feature dimensions. To link rule learning to the natural task of visual recognition, we investigated learning […]
Jellinek S., Maloney L. & Fiser J. (2015) Evidence of probabilistic representation in assessing visual summary statistics. VSS 2015, Journal of vision 15 (12), 946-946 [Abstract]
People rapidly and precisely extract summary statistics (e.g. mean and variance) of visually presented ensembles, and such statistics represent an essential part of their internal representation reflecting their environment. Recently, we reported that humans’ behavior in perceptual decision making task complies with the proposal that they handle simple visual attributes in a sampling-based probabilistic manner […]
Hofer M., Maloney L. & Fiser J. (2015) Detecting structure in visual sequences. VSS 2015, Journal of vision 15 (12), 333-333 [Abstract]
We investigated how well people discriminate between different statistical structures in letter sequences. Specifically, we asked to what extent do people rely on feature-based aspects vs. lower-level statistics of the input when it was generated by simple or by more hierarchical processes. Using two symbols, we generated twelve-element sequences according to one of three different […]
Arató J. & Fiser J. (2015) Information integration in sequential visual decision-making. VSS 2015, Journal of Vision 15 (12), 94-94 [Abstract]
Although it is widely accepted that both summary statistics and salient patterns affect human decision making based on temporally varying visual input, the relative contributions and the exact nature of how these aspects determine human judgment are unclear and controversial, often discussed under the labels of priming, adaptation, or serial effects. To tease apart the […]
Fiser J., Koblinger A. & Lengyel M. (2015) Modeling information integration in sequential visual decision-making. VSS 2015, Journal of vision 15 (12), 90-90 [Abstract]
Current models of human visual decision making based on sequentially provided samples posit that people make their next decision by unconsciously compensating the statistical discrepancy between measures collected in the long past and those collected very recently. While this proposal is compelling, it does not qualify as a rigorous model of human decision making. In […]
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 […]
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, J. H., Bex, P.J., & Fiser, J. (2016) Encoding of basic visual attributes in naturalistic-like human vision Annual Meeting of the European Mathematical Psychology Group, Copenhagen, Denmark [Abstract]
Coding of visual attributes in human vision has traditionally been researched with simple stimuli (e.g., Gabor patches), presented either in isolation or in simple lattice-like arrangements. Consequently, little is known about how low-level feature information is represented with complex and naturalistic images under natural-like viewing conditions. In severalexperiments, we examined coding of the orientation and […]
Lengyel G. & Fiser J. (2016) The relation between initial thresholds, learning, and generalization in three perceptual learning paradigms. VSS 2016, Journal of Vision 16 (12), 1104-1104 [Abstract]
It has been suggested recently that the extent of learning in perceptual tasks can be predicted well from the initial performance according to a Weber-like law. However, the exact relationship between initial thresholds and the amount of learning and the link between learning and generalization still remained unclear. In three perceptual learning paradigms, we tested […]
Jellinek S. & Fiser J. (2016) Evidence for automatic generative learning in humans. ECVP 2016, Perception 45, 274-274 [Abstract]
It is commonly assumed that humans learn generative or discriminative representations of the sensory input depending on task context (e.g. Hsu & Griffiths, 2010). Following our earlier findings (Orban et al., 2008), we propose that humans always form generative models based on the statistics of the input. To test this proposal, we investigated whether a […]