Five experiments examined what is learned based on the perceptual and semantic information of objects in visual statistical learning (VSL). In the familiarization phase, participants viewed a sequence of line drawings and detected repetitions of various objects. In a subsequent test phase, they watched 2 test sequences (statistically related triplets vs. unrelated foils) and decided whether the first or second sequence was more familiar based on the familiarization phase. In Experiment 1A, the test sequences comprised line drawings; in Experiment 1B, they comprised word stimuli representing each line drawing. The results showed that performance for statistically related triplets was greater than chance. In Experiments 2 and 3 containing the...
Implicit statistical learning (ISL) describes our ability to tacitly pick up regularities from our e...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
Five experiments examined what is learned based on the perceptual and semantic information of object...
We examined whether visual statistical learning (VSL) produced implicit and/or explicit knowledge ab...
The environment contains considerable information that is distributed across space and time, and the...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
The literature suggests that visual statistical learning occurs from a very early age, with evidence...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
The concept of objects is fundamental to cognition and is defined by a consistent set of sensory pro...
Implicit statistical learning (ISL) describes our ability to tacitly pick up regularities from our e...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
Five experiments examined what is learned based on the perceptual and semantic information of object...
We examined whether visual statistical learning (VSL) produced implicit and/or explicit knowledge ab...
The environment contains considerable information that is distributed across space and time, and the...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
The literature suggests that visual statistical learning occurs from a very early age, with evidence...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
The concept of objects is fundamental to cognition and is defined by a consistent set of sensory pro...
Implicit statistical learning (ISL) describes our ability to tacitly pick up regularities from our e...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...