Statistical learning is a robust mechanism of the brain that enables the extraction of environmental patterns, which is crucial in perceptual and cognitive domains. However, the dynamical change of processes underlying long-term statistical memory formation has not been tested in an appropriately controlled design. Here we show that a memory trace acquired by statistical learning is resistant to inference as well as to forgetting after one year. Participants performed a statistical learning task and were retested one year later without further practice. The acquired statistical knowledge was resistant to interference, since after one year, participants showed similar memory performance on the previously practiced statistical structure after...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
What happens to memories as we forget? They might gradually lose fidelity, lose their associations (...
Forgetting can be accounted for by time-indexed decay as well as competition-based interference proc...
Extraction of environmental patterns underlies human learning throughout the lifespan and plays a cr...
Learning often requires splitting continuous signals into recurring units, such as the discrete word...
The computations involved in statistical learning have long been debated. Here, we build on work sug...
Characterizing ontogenetic changes across the lifespan is a crucial tool in understanding neurocogni...
Long-term memory is a core aspect of human learning that permits a wide range of skills and behavior...
Statistical learning (SL) refers to behavioral benefits when identifying regularities in the environ...
Psychophysical and neurophysiological studies have suggested that memory is not simply a carbon copy...
A central pursuit in cognitive science and developmental psychology has been to characterize how hum...
The studies reported here used an interference paradigm to determine whether a long-term consolidati...
Knowing when the brain learns is crucial for both the comprehension of memory formation and consolid...
The brain integrates streams of sensory input and builds accurate predictions, while arriving at sta...
How can we reconcile the massive fluctuations in neural connections with a stable long-term memory? ...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
What happens to memories as we forget? They might gradually lose fidelity, lose their associations (...
Forgetting can be accounted for by time-indexed decay as well as competition-based interference proc...
Extraction of environmental patterns underlies human learning throughout the lifespan and plays a cr...
Learning often requires splitting continuous signals into recurring units, such as the discrete word...
The computations involved in statistical learning have long been debated. Here, we build on work sug...
Characterizing ontogenetic changes across the lifespan is a crucial tool in understanding neurocogni...
Long-term memory is a core aspect of human learning that permits a wide range of skills and behavior...
Statistical learning (SL) refers to behavioral benefits when identifying regularities in the environ...
Psychophysical and neurophysiological studies have suggested that memory is not simply a carbon copy...
A central pursuit in cognitive science and developmental psychology has been to characterize how hum...
The studies reported here used an interference paradigm to determine whether a long-term consolidati...
Knowing when the brain learns is crucial for both the comprehension of memory formation and consolid...
The brain integrates streams of sensory input and builds accurate predictions, while arriving at sta...
How can we reconcile the massive fluctuations in neural connections with a stable long-term memory? ...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
What happens to memories as we forget? They might gradually lose fidelity, lose their associations (...
Forgetting can be accounted for by time-indexed decay as well as competition-based interference proc...