Fiser J. & Aslin RN. (2001) Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychological science 12 (6), 499-504
Three experiments investigated the ability of human observers to extract the joint and conditional probabilities of shape co-occurrences during passive viewing of complex visual scenes. Results indicated that statistical learning of shape conjunctions was both rapid and automatic, as subjects were not instructed to attend to any particular features of the displays. Moreover, in addition […]
Fiser J. & Lengyel G. (2019) A common probabilistic framework for perceptual and statistical learning. Current opinion in neurobiology 58, 218-228
System-level learning of sensory information is traditionally divided into two domains: perceptual learning that focuses on acquiring knowledge suitable for fine discrimination between similar sensory inputs, and statistical learning that explores the mechanisms that develop complex representations of unfamiliar sensory experiences. The two domains have been typically treated in complete separation both in terms of […]
Roser ME., Fiser J., Aslin RN. & Gazzaniga MS. (2011) Right hemisphere dominance in visual statistical learning. Journal of cognitive neuroscience 23 (5), 1088-1099
Several studies report a right hemisphere (RH) advantage for visuo-spatial integration and a left hemisphere (LH) advantage for inferring conceptual knowledge from patterns of covariation. The present study examined hemispheric asymmetry in the implicit learning of new visual-feature combinations. A split-brain patient and normal control participants viewed multi-shape scenes presented in either the right or […]
Fiser J., Subramaniam S. & Biederman I. (2001) Size tuning in the absence of spatial frequency tuning in object recognition. Vision Research 41 (15), 1931-1950
How do we attend to objects at a variety of sizes as we view our visual world? Because of an advantage in identification of lowpass over highpass filtered patterns, as well as large over small images, a number of theorists have assumed that size-independent recognition is achieved by spatial frequency (SF) based coarse-to-fine tuning. We […]
Popovic M., Stacy AK., Kang M., Nanu R., Oettgen CE., Wise DL., Fiser J. & Van Hooser SD. (2018) Development of cross-orientation suppression and size tuning and the role of experience. Journal of Neuroscience, 2886-17
Many sensory neural circuits exhibit response normalization, which occurs when the response of a neuron to a combination of multiple stimuli is less than the sum of the responses to the individual stimuli presented alone. In the visual cortex, normalization takes the forms of cross-orientation suppression and surround suppression. At the onset of visual experience, […]
Fiser J., Berkes P., Orbán G. & Lengyel M. (2010) Statistically optimal perception and learning: from behavior to neural representations. Trends in cognitive sciences 14 (3), 119-130 [Highly Cited Paper]
Human perception has recently been characterized as statistical inference based on noisy and ambiguous sensory inputs. Moreover, suitable neural representations of uncertainty have been identified that could underlie such probabilistic computations. In this review, we argue that learning an internal model of the sensory environment is another key aspect of the same statistical inference procedure […]
Fiser J. & Biederman I. (2001) Invariance of long-term visual priming to scale, reflection, translation, and hemisphere. Vision Research 41 (2), 221-234
The representation of shape mediating visual object priming was investigated. In two blocks of trials, subjects named images of common objects presented for 185 ms that were bandpass filtered, either at high (10 cpd) or at low (2 cpd) center frequency with a 1.5 octave bandwidth, and positioned either 5º right or left of fixation. […]