Models of statistical learning do not place constraints on the complexity of the memory structure that is formed during statistical learning, while empirical studies using the statistical learning task have only examined the formation of simple memory structures (e.g., two-way binding). On the contrary, the memory literature, using explicit memory tasks, has shown that people are able to form memory structures of different complexities and that more complex memory structures (e.g., three-way binding) are usually more difficult to form. We examined whether complex memory structures such as three-way bindings can be implicitly formed through statistical learning by utilizing manipulations that have been used in the paired-associate learning p...
We develop a neural network model of paired-associate learning based upon an auto-associative learni...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...
The current study examines the role of attention in forming complex binding structures in episodic m...
Attempts to connect individual differences in statistical learning with broader aspects of cognition...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
A remarkable ability of the cognitive system is to make novel inferences based on prior experiences....
Although learning from multiple representations has been shown to be effective in a variety of domai...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Statistical learning (SL) studies have shown that participants are able to extract regularities in i...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Recent work has shown that humans can learn or detect complex dependencies among variables. Even lea...
The computations involved in statistical learning have long been debated. Here, we build on work sug...
Statistical learning (SL) refers to behavioral benefits when identifying regularities in the environ...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
We develop a neural network model of paired-associate learning based upon an auto-associative learni...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...
The current study examines the role of attention in forming complex binding structures in episodic m...
Attempts to connect individual differences in statistical learning with broader aspects of cognition...
Statistical Learning (SL) involves the extraction of organizing principles from a set of inputs. Rec...
A remarkable ability of the cognitive system is to make novel inferences based on prior experiences....
Although learning from multiple representations has been shown to be effective in a variety of domai...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Statistical learning (SL) studies have shown that participants are able to extract regularities in i...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Recent work has shown that humans can learn or detect complex dependencies among variables. Even lea...
The computations involved in statistical learning have long been debated. Here, we build on work sug...
Statistical learning (SL) refers to behavioral benefits when identifying regularities in the environ...
The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et ...
We develop a neural network model of paired-associate learning based upon an auto-associative learni...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...