On the Complexity of Language Processing by the Brain

1969 ◽  
pp. 51-83
Author(s):  
P. Stanley Peters
Keyword(s):  
Language Processing ◽  
The Brain

Magnetoencephalography and the Cortical Dynamics of Language Processing

2019 ◽  
pp. 114-153
Author(s):  
Riitta Salmelin ◽  
Jan Kujala ◽  
Mia Liljeström
Keyword(s):  
Language Processing ◽  
Language Disorders ◽  
Scientific Data ◽  
Neural Processing ◽  
Powerful Method ◽  
Cortical Dynamics ◽  
Brain Correlates ◽  
Adults And Children ◽  
The Brain ◽  
Selection Of

When seeking to uncover the brain correlates of language processing, timing and location are of the essence. Magnetoencephalography (MEG) offers them both, with the highest sensitivity to cortical activity. MEG has shown its worth in revealing cortical dynamics of reading, speech perception, and speech production in adults and children, in unimpaired language processing as well as developmental and acquired language disorders. The MEG signals, once recorded, provide an extensive selection of measures for examination of neural processing. Like all other neuroimaging tools, MEG has its own strengths and limitations of which the user should be aware in order to make the best possible use of this powerful method and to generate meaningful and reliable scientific data. This chapter reviews MEG methodology and how MEG has been used to study the cortical dynamics of language.

scholarly journals What is special about L3 processing?

2013 ◽  
Vol 18 (2) ◽  
pp. 130-144 ◽  
Author(s):  
KEES DE BOT ◽  
CAROL JAENSCH
Keyword(s):  
Second Language ◽  
Language Processing ◽  
Language Use ◽  
Fundamental Question ◽  
Third Language ◽  
The Core ◽  
Dynamic Perspective ◽  
Core Issue ◽  
The Brain ◽  
Over Time

While research on third language (L3) and multilingualism has recently shown remarkable growth, the fundamental question of what makes trilingualism special compared to bilingualism, and indeed monolingualism, continues to be evaded. In this contribution we consider whether there is such a thing as a true monolingual, and if there is a difference between dialects, styles, registers and languages. While linguistic and psycholinguistic studies suggest differences in the processing of a third, compared to the first or second language, neurolinguistic research has shown that generally the same areas of the brain are activated during language use in proficient multilinguals. It is concluded that while from traditional linguistic and psycholinguistic perspectives there are grounds to differentiate monolingual, bilingual and multilingual processing, a more dynamic perspective on language processing in which development over time is the core issue, leads to a questioning of the notion of languages as separate entities in the brain.

scholarly journals ANALISIS GANGGUAN BERBAHASA PADA ANAK DI KECAMATAN PAHAE JULU

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Monika Sales Sitompul
Keyword(s):  
Language Acquisition ◽  
Case Studies ◽  
Language Processing ◽  
Research Method ◽  
Language Disorders ◽  
Descriptive Research ◽  
Acquisition Device ◽  
The Brain

This study originated from cases of language disorders that occur in society in Pahae Julu district. Language is a need to interact, and humans have been blessed with Language Acquisition Device (LAD) or any language by god. However, if when speaking of someone impaired both LAD and language processing part of the brain, then the communication will not be smooth. The language disorders can happen to anyone. The purpose of this study is to reveal some kinds of language disorders, cases of language disorders and to find out the causes of language disorders experienced by the community in Pahae Julu. The method used in this research is descriptive research method type of case studies.

scholarly journals Language impairments in ASD resulting from a failed domestication of the human brain

2016 ◽  
Author(s):  
Antonio Benítez-Burraco ◽  
Wanda Lattanzi ◽  
Elliot Murphy
Keyword(s):  
Human Brain ◽  
Neural Crest ◽  
Language Processing ◽  
Expression Profiles ◽  
Autism Spectrum ◽  
Human Populations ◽  
Altered Expression ◽  
Domestication Syndrome ◽  
High Prevalence ◽  
The Brain

AbstractAutism spectrum disorders (ASD) are pervasive neurodevelopmental disorders entailing social and cognitive deficits, including marked problems with language. Numerous genes have been associated with ASD, but it is unclear how language deficits arise from gene mutation or dysregulation. It is also unclear why ASD shows such high prevalence within human populations. Interestingly, the emergence of a modern faculty of language has been hypothesised to be linked to changes in the human brain/skull, but also to the process of self-domestication of the human species. It is our intention to show that people with ASD exhibit less marked domesticated traits at the morphological, physiological, and behavioural levels. We also discuss many ASD candidates represented among the genes known to be involved in the domestication syndrome (the constellation of traits exhibited by domesticated mammals, which seemingly results from the hypofunction of the neural crest) and among the set of genes involved in language function closely connected to them. Moreover, many of these genes show altered expression profiles in the brain of autists. In addition, some candidates for domestication and language-readiness show the same expression profile in people with ASD and chimps in different brain areas involved in language processing. Similarities regarding the brain oscillatory behaviour of these areas can be expected too. We conclude that ASD may represent an abnormal ontogenetic itinerary for the human faculty of language resulting in part from changes in genes important for the domestication syndrome and, ultimately, from the normal functioning of the neural crest.

The Effect of Familiarity on Neural Representations of Music and Language

2021 ◽  
pp. 1-17
Author(s):  
Avital Sternin ◽  
Lucy M. McGarry ◽  
Adrian M. Owen ◽  
Jessica A. Grahn
Keyword(s):  
Language Processing ◽  
Instrumental Music ◽  
Training Period ◽  
Neural Representations ◽  
Music And Language ◽  
Brain Responses ◽  
Language And Music ◽  
Before And After ◽  
Musical Memory ◽  
The Brain

Abstract We investigated how familiarity alters music and language processing in the brain. We used fMRI to measure brain responses before and after participants were familiarized with novel music and language stimuli. To manipulate the presence of language and music in the stimuli, there were four conditions: (1) whole music (music and words together), (2) instrumental music (no words), (3) a capella music (sung words, no instruments), and (4) spoken words. To manipulate participants' familiarity with the stimuli, we used novel stimuli and a familiarization paradigm designed to mimic “natural” exposure, while controlling for autobiographical memory confounds. Participants completed two fMRI scans that were separated by a stimulus training period. Behaviorally, participants learned the stimuli over the training period. However, there were no significant neural differences between the familiar and unfamiliar stimuli in either univariate or multivariate analyses. There were differences in neural activity in frontal and temporal regions based on the presence of language in the stimuli, and these differences replicated across the two scanning sessions. These results indicate that the way we engage with music is important for creating a memory of that music, and these aspects, over and above familiarity on its own, may be responsible for the robust nature of musical memory in the presence of neurodegenerative disorders such as Alzheimer's disease.

Behavioral and Brain Responses Highlight the Role of Usage in the Preparation of Multiword Utterances for Production

2021 ◽  
pp. 1-34
Author(s):  
Hyein Jeong ◽  
Emiel van den Hoven ◽  
Sylvain Madec ◽  
Audrey Bürki
Keyword(s):  
Language Processing ◽  
Time Windows ◽  
Low Frequency ◽  
Balanced Design ◽  
Brain Responses ◽  
Functional Locus ◽  
Linguistic Representations ◽  
Electrophysiological Signal ◽  
The Brain ◽  
Naming Latencies

Abstract Usage-based theories assume that all aspects of language processing are shaped by the distributional properties of the language. The frequency not only of words but also of larger chunks plays a major role in language processing. These theories predict that the frequency of phrases influences the time needed to prepare these phrases for production and their acoustic duration. By contrast, dominant psycholinguistic models of utterance production predict no such effects. In these models, the system keeps track of the frequency of individual words but not of co-occurrences. This study investigates the extent to which the frequency of phrases impacts naming latencies and acoustic duration with a balanced design, where the same words are recombined to build high- and low-frequency phrases. The brain signal of participants is recorded so as to obtain information on the electrophysiological bases and functional locus of frequency effects. Forty-seven participants named pictures using high- and low-frequency adjective–noun phrases. Naming latencies were shorter for high-frequency than low-frequency phrases. There was no evidence that phrase frequency impacted acoustic duration. The electrophysiological signal differed between high- and low-frequency phrases in time windows that do not overlap with conceptualization or articulation processes. These findings suggest that phrase frequency influences the preparation of phrases for production, irrespective of the lexical properties of the constituents, and that this effect originates at least partly when speakers access and encode linguistic representations. Moreover, this study provides information on how the brain signal recorded during the preparation of utterances changes with the frequency of word combinations.

scholarly journals Attentional Reinforcement Learning in the Brain

2020 ◽  
Vol 38 (1) ◽  
pp. 49-64 ◽  
Author(s):  
Hiroshi Yamakawa
Keyword(s):  
Deep Learning ◽  
Reinforcement Learning ◽  
Basal Ganglia ◽  
Language Processing ◽  
Information Source ◽  
Attention Mechanism ◽  
Transmission Route ◽  
Thalamic Relay ◽  
Signal Changes ◽  
The Brain

AbstractRecently, attention mechanisms have significantly boosted the performance of natural language processing using deep learning. An attention mechanism can select the information to be used, such as by conducting a dictionary lookup; this information is then used, for example, to select the next utterance word in a sentence. In neuroscience, the basis of the function of sequentially selecting words is considered to be the cortico-basal ganglia-thalamocortical loop. Here, we first show that the attention mechanism used in deep learning corresponds to the mechanism in which the cerebral basal ganglia suppress thalamic relay cells in the brain. Next, we demonstrate that, in neuroscience, the output of the basal ganglia is associated with the action output in the actor of reinforcement learning. Based on these, we show that the aforementioned loop can be generalized as reinforcement learning that controls the transmission of the prediction signal so as to maximize the prediction reward. We call this attentional reinforcement learning (ARL). In ARL, the actor selects the information transmission route according to the attention, and the prediction signal changes according to the context detected by the information source of the route. Hence, ARL enables flexible action selection that depends on the situation, unlike traditional reinforcement learning, wherein the actor must directly select an action.

scholarly journals The impact of language attrition on language teaching: the dynamics of linguistic knowledge retention and maintenance in multilingualism

2019 ◽  
Vol 72 (3) ◽  
pp. 311-330
Author(s):  
Felipe Flores Kupske
Keyword(s):  
Dynamic Model ◽  
Language Processing ◽  
Language Teaching ◽  
Knowledge Retention ◽  
Linguistic Knowledge ◽  
Language Attrition ◽  
Language Retention ◽  
L2 Development ◽  
The Impact ◽  
The Brain

Language attrition has become a vibrant theme as it has implications for theoretical linguistics, including, for example, the organization of linguistic information in the brain and language processing. Insights from this area also have impact on the study of second language (L2) development and can feed the area of language teaching. Once language attrition may be of value for the study of language retention and maintenance, it can contribute to language teaching with long lasting results, more effective planning and syllabus design. In this perspective, as studies exploring L2 attrition are still limited, this article provides a synthesis of research on the area. By drawing from the Dynamic Model of Multilingualism and from the Threshold Hypothesis, it also explores the implications L2 attrition research has for language teaching with a view to establishing more informed language practices and policies.

scholarly journals Phase synchronization varies systematically with linguistic structure composition

2019 ◽  
Vol 375 (1791) ◽  
pp. 20190305 ◽  
Author(s):  
Jonathan R. Brennan ◽  
Andrea E. Martin
Keyword(s):  
Language Processing ◽  
Phase Synchronization ◽  
Natural Extension ◽  
Function Words ◽  
Linguistic Structure ◽  
Link Type ◽  
Phase Alignment ◽  
The Time Domain ◽  
Linguistic Structures ◽  
The Brain

Computation in neuronal assemblies is putatively reflected in the excitatory and inhibitory cycles of activation distributed throughout the brain. In speech and language processing, coordination of these cycles resulting in phase synchronization has been argued to reflect the integration of information on different timescales (e.g. segmenting acoustics signals to phonemic and syllabic representations; (Giraud and Poeppel 2012 Nat. Neurosci. 15 , 511 ( doi:10.1038/nn.3063 )). A natural extension of this claim is that phase synchronization functions similarly to support the inference of more abstract higher-level linguistic structures (Martin 2016 Front. Psychol. 7 , 120; Martin and Doumas 2017 PLoS Biol . 15 , e2000663 ( doi:10.1371/journal.pbio.2000663 ); Martin and Doumas. 2019 Curr. Opin. Behav. Sci. 29 , 77–83 ( doi:10.1016/j.cobeha.2019.04.008 )). Hale et al . (Hale et al . 2018 Finding syntax in human encephalography with beam search. arXiv 1806.04127 ( http://arxiv.org/abs/1806.04127 )) showed that syntactically driven parsing decisions predict electroencephalography (EEG) responses in the time domain; here we ask whether phase synchronization in the form of either inter-trial phrase coherence or cross-frequency coupling (CFC) between high-frequency (i.e. gamma) bursts and lower-frequency carrier signals (i.e. delta, theta), changes as the linguistic structures of compositional meaning ( viz ., bracket completions, as denoted by the onset of words that complete phrases) accrue. We use a naturalistic story-listening EEG dataset from Hale et al . to assess the relationship between linguistic structure and phase alignment. We observe increased phase synchronization as a function of phrase counts in the delta, theta, and gamma bands, especially for function words. A more complex pattern emerged for CFC as phrase count changed, possibly related to the lack of a one-to-one mapping between ‘size’ of linguistic structure and frequency band—an assumption that is tacit in recent frameworks. These results emphasize the important role that phase synchronization, desynchronization, and thus, inhibition, play in the construction of compositional meaning by distributed neural networks in the brain. This article is part of the theme issue ‘Towards mechanistic models of meaning composition’.

Oral reading in bilingual aphasia: Evidence from Mongolian and Chinese

2007 ◽  
Vol 10 (2) ◽  
pp. 201-210 ◽  
Author(s):  
BRENDAN STUART WEEKES ◽  
I FAN SU ◽  
WENGANG YIN ◽  
XIHONG ZHANG
Keyword(s):  
Language Processing ◽  
Oral Reading ◽  
Word Processing ◽  
Brain Regions ◽  
Writing Systems ◽  
Word Comprehension ◽  
Bilingual Aphasia ◽  
Written Word ◽  
Cognitive Neuropsychological ◽  
The Brain

Cognitive neuropsychological studies of bilingual patients with aphasia have contributed to our understanding of how the brain processes different languages. The question we asked is whether differences in script have any impact on language processing in bilingual aphasic patients who speak languages with different writing systems: Chinese and Mongolian. We observed a pattern of greater impairment to written word comprehension and oral reading in L2 (Chinese) than in L1 (Mongolian) for two patients. We argue that differences in script have only a minimal effect on written word processing in bilingual aphasia when the age of acquisition, word frequency and imageability of lexical items is controlled. Our conclusion is that reading of familiar words in Mongolian and Chinese might not require independent cognitive systems or brain regions.

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