Publisher's PDFHumans are capable of detecting and exploiting a variety of environmental regularities, including stimulus stimulus contingencies (e.g., visual statistical learning) and stimulus reward contingencies. However, the relationship between these two types of learning is poorly understood. In two experiments, we sought evidence that the occurrence of rewarding events enhances or impairs visual statistical learning. Across all of our attempts to find such evidence, we employed a training stage during which we grouped shapes into triplets and presented triplets one shape at a time in an undifferentiated stream. Participants subsequently performed a surprise recognition task in which they were tested on their knowledge of the underlyi...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
Humans are sensitive to statistical regularities in their visual environment, but the nature of the ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
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...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Recently it has been shown that statistical learning of regularities presented in a display can bias...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
Humans are sensitive to statistical regularities in their visual environment, but the nature of the ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
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...
Statistical learning refers to the extraction of probabilistic relationships between stimuli and is ...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Recently it has been shown that statistical learning of regularities presented in a display can bias...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
Humans are sensitive to statistical regularities in their visual environment, but the nature of the ...
While the visual environment contains massive amounts of information, we should not and cannot pay a...