Koblinger A., Arato J. & Fiser J. (2018) Complex adaptive internal model subserves perceptual sequential decision making. COSYNE 2018, Salt Lake City, UT [Abstract]
Despite recent findings of sequential effects in perceptual serial decision making (SDM) (Chopin & Mamassian 2012; Fischer & Whitney 2014), SDM is typically investigated under the assumption that the decisions in the sequence are independent or at most, are influenced by a few previous trials. We set out to identify the true underlying internal model […]
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. (2014) Short term and baseline effect in the estimation of probabilistic visual event sequences. ECVP 2014, Perception 43, 54-54 [Abstract]
Humans’ reliance on expectations based on past experience to evaluate uncertain sensory events of their environment has been interpreted either as local adaptation or probabilistic implicit inference. However the exact interplay between immediate past and longer-term sensory experiences in influencing these expectations has not yet been experimentally explored. In a simple probabilistic visual 2-AFC task, […]
Garber D. & Fiser J. (2021) Spatial Structure Is Learned through Temporal Coherence in Visual Statistical Learning. APS Virtual Convention [Abstract]
Research on visual statistical learning (VSL) is classically divided into two independent lines: temporal and spatial VSL. However, for observers in real-world environments, spatial patterns unfold over time leading to a fundamental intertwining of both types of regularities. Using a new spatio-temporal VSL setup, we investigated the nature of this interdependence by moving spatially defined […]
Arato J., Koblinger A. & Fiser J. (2018) Uncertainty-based adjustment of internal model during perceptual sequential decision-making. SFN 2018 [Abstract]
Repeated perceptual decision-making is typically investigated under the tacit assumption that each decision is an independent process or, at most, it is influenced by a few decisions made prior to it. We investigated human sequential 2-AFC decision-making under the condition, when more than one aspect of the context could vary during the experiment: both the […]
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 […]
Jellinek S. & Fiser J. (2014) Dissociation of alpha ERD and P300 measures of categorization with continuously varying stimuli. SFN 2014, Washington, DC [Abstract]
EEG measures, especially alpha ERD and P3 ERP, has often been used as a tool for the investigation of the structure of categorical and conceptual representation of incoming stimuli. Studies of categorization that use alpha ERD and P3 signals typically have three characteristics: they use the oddball paradigm, the categories consist of discretely separable exemplars, […]
Fiser J., Szabó T., Márkus B. & Nagy M. (2020) Statistical learning of concurrent auditory signals. VSS 2020, Journal of Vision 20 (11), 444-444 [Abstract].
Due to the highly sequential nature of auditory information and its close link to speech in humans, auditory statistical learning (SL) has been viewed predominantly as a special learning related to segmentation in language development. Meanwhile in other modalities, SL has been conceptualized as a general-purpose learning ability of information presented in parallel, which is […]
Fiser J. (2018) Sampling: a probabilistic approach to cortical computation, learning, and development. The Probabilistic Brain, Durham UK [Abstract]
I will present a framework and a combined empirical-computational program that explores what computation and cortical neural representation could underlie our intelligent behaviour. I will start by giving a brief summary of the fundamental logic of the framework and the main results we obtained earlier in support of the framework. Next, I will focus on […]
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 […]