Fiser J. & Lengyel G. (2018) Task irrelevant statistical regularities modulate perceptual learning in orientation discrimination task. VSS 2018, Journal of Vision 18 (10), 261-261 [Abstract]
Perceptual learning is defined as the ability to improve one’s performance in basic discrimination tasks via extended practice. Is this process influenced by statistical regularities in the scene that have no relation to the discrimination task at hand? Using a 5-day standard perceptual training protocol, we trained two groups of observers to perform an orientation […]
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 […]
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 […]
Reguly H., Nagy M., Márkus B. & Fiser J. (2018) Prior experience of stimulus co-occurrence increases sensitivity to visual temporal asynchrony. ECVP 2018 [Abstract]
The temporal relationship between sensory events plays a crucial role in establishing causal link between them, for example inferring a common cause. In the current study, we manipulated the probability of co-occurrence of various visual stimuli pairs to see whether this manipulation would affect participants’ ability to separate the two elements of a pair in […]
Lengyel G. & Fiser J. (2018) Can task irrelevant statistical structure enhance perceptual learning? ECVP 2018 [Abstract]
Statistical learning (ability to extract and store new structures) and perceptual learning (improve visual discrimination abilities) traditionally thought to deal with separate tasks at different levels of visual processing. To test this conviction, we investigated whether perceptual learning can be enhanced by the presence of a task irrelevant statistical structure. We trained two groups (N=16) […]
Bex P., Christensen JH. & Fiser J. (2018) Optimal variance encoding of contours in naturalistic images. ECVP 2018 [Abstract]
We investigated feature ensemble encoding at the lowest level of visual processing by focusing on contour encoding in natural images. In such images, the mean contour is not a single value, but it varies locally with spatial position, and variability of the contour can be quantified by the noisiness of the contour segments. We used […]
Avarguès-Weber A., Finke V., Nagy M., Szabó T., Dyer A. & Fiser J. (2018) Visual Statistical Learning in Honeybees. ECVP 2018 [Abstract]
The ability of developing complex internal representations of the visual environment is crucial to the emergence of humans’ higher cognitive functions. Yet it is an open question whether there is any fundamental difference in how humans and other good visual learner species naturally encode aspects of novel visual scenes. We investigated how honeybees encode instinctively […]
Szabó B. T., Avarguès-Weber A., Orbán G., Finke V., Nagy M., Dyer A. & Fiser J. (2019) Increasingly complex internal visual representations in honeybees, human infants and adults. VSS 2019, Journal of Vision 19 (10), 292c-292c [Abstract].
Although some animals such as honeybees (Apis mellifera) are excellent visual learners, little is known about their spontaneously emerging internal representations of the visual environment. We investigated whether learning mechanisms and resulting internal representations are similar across different species by using the same modified visual statistical learning paradigm in honeybees and humans. Observers performed an […]
Fiser J., Koblinger Á. & Arató J. (2019) Reliability-based arbitration between noise and event-based component of observers’ internal model during perceptual decision making. VSS 2019, Journal of Vision 19 (10), 59c-59c [Abstract]
The effects of long-term history on sequentially performed perceptual decision making are typically investigated either under the simplest stationary condition or in the context of changing volatility of the event statistics defined by the generative process. We investigated the rules of human decision making in the more natural situation when changes in the external conditions […]
Bernacchia A., Fiser J., Hennequin G. & Lengyel M. (2019) Adaptive erasure of spurious sequences in cortical circuits. COSYNE 2019, Lisbon, Portugal [Abstract]
The sequential activation of neurons, reflecting a previously experienced temporal sequence of stimuli, is be- lieved to be a hallmark of learning across cortical areas1, including the primary visual cortex2,3 (V1). While circuit mechanisms of sequence learning have been studied extensively4,5, the converse problem, that is equally important for robust performance, has so far received […]