Fiser J. & Garami L. (2023) Modality-independent biases in temporal processing. VSS 2023 [Abstract]

The brain encodes dynamic sensory information along different modalities effectively and accurately into structured representations by relying on various biases of different complexities. While the ultimate representation is multimodal, the biases used for encoding have been defined at the level of individual modalities despite a growing body of evidence showing that integration is already present […]

Garber D. & Fiser J. (2023) The effect of consolidation and explicitness on learning and transferring higher-level structural knowledge in vision. VSS 2023 [Abstract]

While studies on visual statistical learning focus on how specific chunks based on co-occurrence of observable elements are learned, they typically neglect exploring the role of knowledge about the higher-level structure of these chunks in learning. We studied this role of structural knowledge by investigating how first being exposed to only horizontal or vertical shape-pairs […]

Magas D. & Fiser J. (2023) Probabilistic encoding and well-calibratedness of long-term episodic memory. VSS 2023 [Abstract]

Accumulating behavioral and neural evidence suggests that incoming sensory input is represented and combined with generalized semantic knowledge in a fundamentally probabilistic way during perceptual processes. Recently we provided evidence that human perceptual decision making is fully probabilistic (encodes uncertainty of all internal variables) rather than task-dependently probabilistic (encoding uncertainty only at the level of […]

Ledley J., MacKenzie K. & Fiser J. (2012) Coding object size based rules in 3D visual scenes. VSS 2012, Journal of Vision 12 (9), 806-806 [Abstract]

Learning abstract rules in the auditory and visual domains is customarily investigated with the AAB vs. ABB paradigm where each scene contains three auditory events or visual objects and either identity or an attribute of these items, such as the size of the objects, follows a same-same-different (i.e. AAB) pattern during a training period. In […]

White BL., Berkes P. & Fiser J. (2010) Suppression of intrinsic cortical response variability is state- and stimulus-dependent, Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience, 2010.

Neural responses to identical sensory stimuli can be highly variable across trials, even in primary sensory areas of the cortex. This raises the question of how such areas reliably transmits sensory-evoked responses to guide appropriate behavior. Internally-generated, spontaneous activity, which is ubiquitous in the cortex, is a leading candidate for causing much of the observed […]

Galperin H., Bex P. & Fiser J. (2008) The relationship between local feature distributions and object recognition. VSS 2008, Journal of Vision 8 (6), 519-519 [Abstract]

We investigated the structure of image features that support human object recognition using a novel 2-AFC form coherence paradigm. Grayscale images of everyday objects were analyzed with a multi-scale bank of Gabor-wavelet filters whose responses defined the positions, orientations and phases of Gabor patches that were used to reconstruct a facsimile of the original image. […]

Lisitsyn D., Galperin H. & Fiser J. (2012) Linking eye fixation strategies to experience in visual statistical learning. VSS 2012, Journal of Vision 12 (9), 1005-1005 [Abstract]

Linking eye-movement to visual perception or to learning has been notoriously difficult due to the fact that the visual stimulus is either too simplified providing no insights to the true nature of learning or with too rich input, the process of learning becomes intractable. Visual statistical learning (VSL) provides an ideal framework for such studies […]

Berkes P., White B. & Fiser J. (2009) No evidence for active sparsification in the visual cortex. NIPS 2009, NIPS Conference Abstracts 108-116 [Abstract]

The proposal that cortical activity in the visual cortex is optimized for sparse neural activity is one of the most established ideas in computational neuroscience. However, direct experimental evidence for optimal sparse coding remains inconclusive, mostly due to the lack of reference values on which to judge the measured sparseness. Here we analyze neural responses […]

Janacsek K, Fiser J, & Nemeth D. (2012). What is the best time to acquire new skills: age-related differences in implicit sequence learning across lifespan. BCCCD 2012, Budapest, Hungary [Abstract]

Implicit skill learning underlies not only motor, but also cognitive and social skills. Nevertheless, the ontogenetic changes in humansʼ implicit learning abilities have not yet been comprehensively characterized. We investigated such learning across the life span, between 4-85 years of age with an implicit probabilistic sequence learning task, and we found that the difference in […]