Results 21 to 30 of about 131,744 (288)

Artificial grammar learning in Alzheimer's disease [PDF]

Cognitive, Affective, & Behavioral Neuroscience, 2003
Patients with early Alzheimer's disease (AD) exhibit impaired declarative memory although some forms of nondeclarative memory are intact. Performance on perceptual nondeclarative memory tasks is often preserved in AD, whereas conceptual nondeclarative memory is often impaired.
Paul J, Reber, Lucy A, Martinez, Sandra, Weintraub   +2 more
openaire   +2 more sources

The P600 in Implicit Artificial Grammar Learning [PDF]

Cognitive Science, 2016
AbstractThe suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some have shown a syntax‐related P600 component, but it has not been ruled out that the AGL P600 effect is a response to surface features (e.g ...
Silva, S., Folia, V., Hagoort, P., Hagoort, P., Petersson, K.M.   +4 more
openaire   +7 more sources

Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia

Behavioral and Brain Functions, 2005
Background Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process.
Hwu Hai-Gwo, Hsieh Ming H, Liu Kristina, Chiu Ming-Jang   +3 more
doaj   +1 more source

Children’s Learning of a Semantics-Free Artificial Grammar with Center Embedding

Biolinguistics, 2020
Whether non-human animals have an ability to learn and process center embedding, a core property of human language syntax, is still debated. Artificial-grammar learning (AGL) has been used to compare humans and animals in the learning of center embedding.
Shiro Ojima, Kazuo Okanoya
doaj   +1 more source

Complexity, Training Paradigm Design, and the Contribution of Memory Subsystems to Grammar Learning. [PDF]

PLoS ONE, 2016
Although there is variability in nonnative grammar learning outcomes, the contributions of training paradigm design and memory subsystems are not well understood.
Mark Antoniou, Marc Ettlinger, Patrick C M Wong   +2 more
doaj   +1 more source

Evaluative conditioning of artificial grammars: evidence that subjectively-unconscious structures bias affective evaluations of novel stimuli [PDF]

, 2020
Evaluative conditioning (EC) refers to the acquisition of emotional valence by an initially-neutral stimulus (conditioned stimulus; CS), after being paired with an emotional stimulus (unconditioned stimulus; US).
Costea, Andrei, Dienes, Zoltan, Jurchiș, Răzvan, Miclea, Mircea, Opre, Adrian   +4 more
core   +1 more source

Sleep promotes the extraction of grammatical rules. [PDF]

PLoS ONE, 2013
Grammar acquisition is a high level cognitive function that requires the extraction of complex rules. While it has been proposed that offline time might benefit this type of rule extraction, this remains to be tested.
Ingrid L C Nieuwenhuis, Vasiliki Folia, Christian Forkstam, Ole Jensen, Karl Magnus Petersson   +4 more
doaj   +1 more source

Modality effects in implicit artificial grammar learning: An EEG study [PDF]

, 2018
Recently, it has been proposed that sequence learning engages a combination of modality-specific operating networks and modality-independent computational principles.
Aftanas, Asada, Attaheri, Bahlmann, Baker, Batterink, Christiansen, Conway, Conway, Conway, Conway, Deiber, Demiralp, Emberson, Filomena Inácio, Friederici, Friederici, Frost, Gevins, Gevins, Gevins, Goujon, Griesmayr, Grunwald, Hagoort, Hagoort, Jensen, Johansson, Karl Magnus Petersson, Klimesch, Knowlton, Kubota, Kutas, Lelekov-Boissard, Mecklinger, Meulemans, Nozaradan, Nozaradan, Nozaradan, Oostenveld, Osterhout, Perruchet, Petersson, Pfurtscheller, Pothos, Reber, Reber, Riecke, Saffran, Saupe, Selchenkova, Selchenkova, Silva, Susana Silva, São Luís Castro, Tabullo, Vasiliki Folia, Witt, Zimmerer   +58 more
core   +1 more source

Neural Correlates of Artificial Grammar Learning

NeuroImage, 2002
Artificial grammar learning (AGL) is a form of nondeclarative memory that involves the nonconscious acquisition of abstract rules. While data from amnesic patients indicate that AGL does not depend on the medial temporal lobe, the neural basis of this type of memory is unknown and was therefore examined using event-related fMRI.
P D, Skosnik, F, Mirza, D R, Gitelman, T B, Parrish, M-M, Mesulam, P J, Reber   +5 more
openaire   +2 more sources

An Intelligent Tutoring System for Teaching Grammar English Tenses [PDF]

, 2016
The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years.
Abu Naser, Samy S., Alhabbash, Mohammed I., Mahdi, Ali O.   +2 more
core   +2 more sources