A traditional serial model of visual awareness begins with sensory input undergoing rudimentary processing in the peripheral nervous system, then traveling to the central nervous system’s subcortical structures and progressing through the visual cortex for progressively more complex forms of processing, and, only then, makes contact with memory systems. Recent models of visual awareness challenge both the sequence and linearity of this traditional model. In three sets of experiments I advocate for a recursive model whereby perception does not terminate in a memory representation but instead is dependent on a form of memory representation upfront, such that previously existing representations play an active role in shaping ongoing perception...
Item does not contain fulltextIn this pre-registered replication study, we reassessed the spontaneou...
Our major goal is to account for some simple digit-recall data with a theory that integrates two mod...
In virtually every activity we engage in — from analyzing economic trends, to predicting which of tw...
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
This repository contains all (raw) data and code necessary to replicate the results reported in: Ric...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Humans are sensitive to statistical regularities in their visual environment, but the nature of the ...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
How do we so rapidly achieve an organized, coherent visual percept of our superficially chaotic worl...
Prior knowledge about the probabilistic structure of visual environments is necessary to resolve amb...
Abstract Recent evidence from neuroimaging and psycho-physics suggests common neural and representat...
Human cognition is supported, in part, by adaptive changes in perception that occur as a result of e...
Regularity is a ubiquitous feature of the visual world. We demonstrate that regularity is an adaptab...
Item does not contain fulltextIn this pre-registered replication study, we reassessed the spontaneou...
Our major goal is to account for some simple digit-recall data with a theory that integrates two mod...
In virtually every activity we engage in — from analyzing economic trends, to predicting which of tw...
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
This repository contains all (raw) data and code necessary to replicate the results reported in: Ric...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Humans are sensitive to statistical regularities in their visual environment, but the nature of the ...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
How do we so rapidly achieve an organized, coherent visual percept of our superficially chaotic worl...
Prior knowledge about the probabilistic structure of visual environments is necessary to resolve amb...
Abstract Recent evidence from neuroimaging and psycho-physics suggests common neural and representat...
Human cognition is supported, in part, by adaptive changes in perception that occur as a result of e...
Regularity is a ubiquitous feature of the visual world. We demonstrate that regularity is an adaptab...
Item does not contain fulltextIn this pre-registered replication study, we reassessed the spontaneou...
Our major goal is to account for some simple digit-recall data with a theory that integrates two mod...
In virtually every activity we engage in — from analyzing economic trends, to predicting which of tw...