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Therefore, applying these brain models of language to practical domains, especially aphasia therapy, may well be fruitful.
In the preceding sections we have highlighted neuroscientifically grounded principles for aphasia therapy and their relation to brain models of language.
We here discuss brain models of language in the light of specific rapid activation spreading indexing different kinds of psycholinguistic processes.
Crucially, however, there are reliable latency differences of 20 50 ms between early cortical area activations reflecting lexical, semantic and syntactic processes, which are left unexplained by current serial and parallel brain models of language.
From here we deduce a third principle of aphasia therapy: Focusing principle: It is advantageous to focus patients on their remaining language abilities, especially on those they avoid using Focusing principle: It is advantageous to focus patients on their remaining language abilities, especially on those they avoid using Aphasia therapy may profit from brain models of language.
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Findings from our present study provide neuroimaging evidence of the performance differences observed between bilinguals' 2 languages observed at the behavioral level and are consistent with current brain models of mental calculation.
Mechanistic brain-based models of language are available since the early 1990 s (Braitenberg & Pulvermüller, 1992; Damasio, 1990; Feldman, 2006; Mesulam, 1990; Pulvermüller & Preissl, 1991).
Researchers in this area explore complex models of language and the brain that incorporate a more interactive view of neurological processes in cultural context; the causes and consequences of stereotyping and system justification; the role of religious beliefs and political ideology; and artificial intelligence and the potential for creating an intelligent robotic entity.
For the past 150 years, neurobiological models of language have debated the role of key brain regions in language function.
Based upon this assumption, we connect three theoretical and empirical domains: (1) neural models of language processing and production, (2) statistical methods used in the construction of functional brain images, and (3) corpus linguistic tools, such as Latent Semantic Analysis (henceforth LSA), that are used to discover the topic organization of language.
Hickok and Poeppel created a new model of language in the brain that consists of seven different networks or interfaces covering all aspects of language from articulation to semantics.
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