We examined whether visual statistical learning (VSL) produced implicit and/or explicit knowledge about temporal order information and scene chunks, using a rapid serial visual presentation target detection task and a two-alternative forced-choice (2AFC) familiarity test as indirect and direct measures of VSL, respectively. In the familiarization phase, participants viewed a visual stream of natural scenes consisting of four triplets (i.e., three images that always appeared in the same order). In the subsequent target detection task, participants were required to detect target items embedded in a stream of 12 images or 12 words representing each natural scene. In the final 2AFC familiarity test, participants observed two test sequences (sta...
In this study, we examined the neural correlates of implicit knowledge about statistical regularitie...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
Five experiments examined what is learned based on the perceptual and semantic information of object...
The literature suggests that visual statistical learning occurs from a very early age, with evidence...
The environment contains considerable information that is distributed across space and time, and the...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
Recent work has shown that humans can learn or detect complex dependencies among variables. Even lea...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
In this study, we examined the neural correlates of implicit knowledge about statistical regularitie...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
Five experiments examined what is learned based on the perceptual and semantic information of object...
The literature suggests that visual statistical learning occurs from a very early age, with evidence...
The environment contains considerable information that is distributed across space and time, and the...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
Recent work has shown that humans can learn or detect complex dependencies among variables. Even lea...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
In this study, we examined the neural correlates of implicit knowledge about statistical regularitie...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...