Musicians’ brains are considered to be a functional model of neuroplasticity due to the structural and functional changes associated with long-term musical training. In this study, we examined implicit extraction of statistical regularities from a continuous stream of stimuli—statistical learning (SL). We investigated whether long-term musical training is associated with better extraction of statistical cues in an auditory SL (aSL) task and a visual SL (vSL) task—both using the embedded triplet paradigm. Online measures, characterized by event related potentials (ERPs), were recorded during a familiarization phase while participants were exposed to a continuous stream of individually presented pure tones in the aSL task or individually pres...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
This dissertation utilizes a multi-method approach to investigate the processes underlying musical l...
Musicians' brains are considered to be a functional model of neuroplasticity due to the structural a...
Empirical thesis.At foot of title page: Department of Linguistics (Audiology section), The HEARing C...
International audienceAbstract It is poorly known whether musical training is associated with improv...
A commentary on: Musicians' Online Performance during Auditory and Visual Statistical Learning Tasks...
The musician’s brain is considered as a good model of brain plasticity as musical training is known ...
International audienceThe musician's brain is considered as a good model of brain plasticity as musi...
The musician's brain is considered as a good model of brain plasticity as musical training is known ...
The musician's brain is considered as a good model of brain plasticity as musical training is known ...
International audienceThere is increasing evidence that humans and other nonhuman mammals are sensit...
The similarities between music and language continue to provide research questions in the area of ps...
Statistical learning plays an important role in acquiring the structure of cultural communication si...
Background: Understanding adaptive mechanisms underlying the development of musical competence may i...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
This dissertation utilizes a multi-method approach to investigate the processes underlying musical l...
Musicians' brains are considered to be a functional model of neuroplasticity due to the structural a...
Empirical thesis.At foot of title page: Department of Linguistics (Audiology section), The HEARing C...
International audienceAbstract It is poorly known whether musical training is associated with improv...
A commentary on: Musicians' Online Performance during Auditory and Visual Statistical Learning Tasks...
The musician’s brain is considered as a good model of brain plasticity as musical training is known ...
International audienceThe musician's brain is considered as a good model of brain plasticity as musi...
The musician's brain is considered as a good model of brain plasticity as musical training is known ...
The musician's brain is considered as a good model of brain plasticity as musical training is known ...
International audienceThere is increasing evidence that humans and other nonhuman mammals are sensit...
The similarities between music and language continue to provide research questions in the area of ps...
Statistical learning plays an important role in acquiring the structure of cultural communication si...
Background: Understanding adaptive mechanisms underlying the development of musical competence may i...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded i...
This dissertation utilizes a multi-method approach to investigate the processes underlying musical l...