Though activation of Broca's region in the combinatorial processing of symbols (language, music) has been revealed by neurometabolic studies, most previous neurophysiological research found the earliest grammar indices in the temporal cortex, with inferior-frontal generators becoming active at relatively late stages. We use the attention- and task-free syntactic mismatch negativity (sMMN) event-related potential (ERP) to measure rapid and automatic sensitivity of the human brain to grammatical information in participants' native language (French). Further, sources underlying the MMN were estimated by applying the Parametrical Empirical Bayesian (PEB) approach, with the Multiple Sparse Priors (MSP) technique. Results showed reliable grammar-...
AbstractHumans show variable degrees of success in acquiring a second language (L2). In many cases, ...
Although there is strong evidence that Broca's area is important for syntax, this may simply be a by...
Listeners are constantly trying to predict what the speaker will say next. We concurrently measured ...
Though activation of Broca’s region in the combinatorial processing of symbols (language, music) has...
In the present study, using event-related functional magnetic resonance imaging, we investigated a g...
The role of Broca's area in grammatical computation is unclear, because syntactic processing is ofte...
Categorical predictions have been proposed as the key mechanism supporting the fast pace of syntacti...
International audienceMismatch negativity, an index of automatic cerebral activity in response to no...
Non-adjacent dependencies are challenging for the language learning machinery and are acquired later...
Linguistic expressions consist of word sequences organized into hierarchies of nested phrases. Accor...
Different types of syntactic information (word category, grammatical gender) are processed at differ...
International audienceIn this study, we explored cerebral mechanisms during the computation of subje...
In this thesis I approach language as a neurobiological system. I defend a sequence processing persp...
Listeners are constantly trying to predict what the speaker will say next. We concurrently measured ...
Non-adjacent dependencies are challenging for the language learning machinery and are acquired later...
AbstractHumans show variable degrees of success in acquiring a second language (L2). In many cases, ...
Although there is strong evidence that Broca's area is important for syntax, this may simply be a by...
Listeners are constantly trying to predict what the speaker will say next. We concurrently measured ...
Though activation of Broca’s region in the combinatorial processing of symbols (language, music) has...
In the present study, using event-related functional magnetic resonance imaging, we investigated a g...
The role of Broca's area in grammatical computation is unclear, because syntactic processing is ofte...
Categorical predictions have been proposed as the key mechanism supporting the fast pace of syntacti...
International audienceMismatch negativity, an index of automatic cerebral activity in response to no...
Non-adjacent dependencies are challenging for the language learning machinery and are acquired later...
Linguistic expressions consist of word sequences organized into hierarchies of nested phrases. Accor...
Different types of syntactic information (word category, grammatical gender) are processed at differ...
International audienceIn this study, we explored cerebral mechanisms during the computation of subje...
In this thesis I approach language as a neurobiological system. I defend a sequence processing persp...
Listeners are constantly trying to predict what the speaker will say next. We concurrently measured ...
Non-adjacent dependencies are challenging for the language learning machinery and are acquired later...
AbstractHumans show variable degrees of success in acquiring a second language (L2). In many cases, ...
Although there is strong evidence that Broca's area is important for syntax, this may simply be a by...
Listeners are constantly trying to predict what the speaker will say next. We concurrently measured ...