Personne
Maya Anna Jastrzebowska
Cette personne n’est plus à l’EPFL
Publications associées (11)
Population receptive fields isolate or combine target and flankers in (un)crowding
Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska
Crowding by neighboring elements leads to the deterioration of target discrimination. This phenomenon is traditionally explained with feedforward, hierarchical models. In these models, a “bottleneck” at the earliest stages of visual processing causes an ir ...
2022Isolate or combine: population receptive field size in (un)crowding
Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska
Crowding, the deterioration of object recognition in clutter, is traditionally explained with models that are hierarchical, feedforward and local. These models suggest that a “bottleneck” at the earliest stages of visual processing leads to an irretrievabl ...
2021Population receptive field size in (un)crowding: to isolate or to combine?
Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska
Traditional models posit that visual processing is local and feedforward. In this vein, crowding is explained to be the result of pooling of target and flanker features in early visual areas. Specifically, it has been suggested that when the target and fla ...
SAGE Publishing2021The role of population receptive field size and recurrent processing in learning to “de-crowd”
Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska
In crowding, the perception of a target is impeded by surrounding clutter. While traditional models are feedforward and local, there is increasing behavioral and neural evidence for a critical role of recurrent processing across the visual hierarchy in cro ...
SAGE Publishing2021Unraveling brain interactions in vision: the example of crowding
Michael Herzog, Bogdan Draganski, Vitaly Chicherov, Maya Anna Jastrzebowska
Crowding, the impairment of target discrimination in clutter, is the standard situation in vision. Traditionally, crowding is explained with (feedforward) models, in which only neighboring elements interact, leading to a “bottleneck” at the earliest stages ...
2021Unraveling brain interactions in vision: the example of crowding
Michael Herzog, Bogdan Draganski, Vitaly Chicherov, Maya Anna Jastrzebowska
In visual crowding, the presence of neighboring elements impedes the perception of a target. Crowding is traditionally explained with feedforward, local models. However, increasing the number of neighboring elements can decrease crowding, i.e., lead to unc ...
2021Bayesian modeling of brain function and behavior
The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...
EPFL2020Bayesian regression explains how human participants handle parameter uncertainty
Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai
Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...
2020Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease
Michael Herzog, Bogdan Draganski, Maya Anna Jastrzebowska, Renaud Marquis
The dopaminergic system has a unique gating function in the initiation and execution of movements. When the interhemispheric imbalance of dopamine inherent to the healthy brain is disrupted, as in Parkinson's disease (PD), compensatory mechanisms act to st ...
2019(Un)crowding modulates recurrent connectivity in the visual cortex
Michael Herzog, Vitaly Chicherov, Maya Anna Jastrzebowska
Introduction: In crowding, neighboring elements impede the perception of a target. Surprisingly, increasing the number of neighboring elements can decrease crowding, i.e., lead to uncrowding (Manassi et al., 2015). Few neuroimaging studies have explored th ...
2019