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’.

Language, Perception and Action. How Words are Grounded in the Brain

2008 ◽  
Vol 16 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Marc Jeannerod
Keyword(s):  
Language Processing ◽  
Procedural Knowledge ◽  
Pathological Condition ◽  
Distributed Processing ◽  
Motor Impairment ◽  
Specific Class ◽  
Function Words ◽  
Semantic Categories ◽  
Visual Areas ◽  
The Brain

Language processing is grounded in brain function. Words of different semantic categories are processed in different cortical areas. Several examples of this distributed processing are given: colour words are processed in visual areas, whereas action words are processed in motor areas. The processing of action words in described in more details. A pathological condition, Parkinson’s disease, is used as an illustration of a motor impairment that selectively affects the comprehension of action words. This comprehension impairment is attributed to a difficulty in accessing the procedural knowledge carried by this specific class of words.

scholarly journals Neural encoding of phrases and sentences in spoken language comprehension

2021 ◽  
Author(s):  
Fan Bai ◽  
Antje S. Meyer ◽  
Andrea E. Martin
Keyword(s):  
Phase Synchronization ◽  
Syntactic Structure ◽  
Natural World ◽  
Neural Response ◽  
Low Frequencies ◽  
Linguistic Structure ◽  
Function Modelling ◽  
Phase Amplitude ◽  
Task Conditions ◽  
The Brain

Speech stands out in the natural world as a biological signal that communicates formally-specifiable complex meanings. However, the acoustic and physical dynamics of speech do not injectively mark the linguistic structure and meaning that we perceive. Linguistic structure must therefore be inferred through the human brain’s endogenous mechanisms, which remain poorly understood. Using electroencephalography, we investigated the neural response to synthesized spoken phrases and sentences that were closely physically-matched but differed in syntactic structure, under either linguistic or non-linguistic task conditions. Differences in syntactic structure were well-captured in theta band (~ 2 to 7 Hz) phase coherence, phase connectivity degree at low frequencies (< ~ 2 Hz), and in both intensity and degree of power connectivity of induced neural response in the alpha band (~ 7.5 to 13.5 Hz). Theta-gamma phase-amplitude coupling was found when participants listened to speech, but it did not discriminate between syntactic structures. Spectral-temporal response function modelling suggested different encoding states in both temporal and spectral dimensions as a function of the amount and type of linguistic structure perceived, over and above the acoustically-driven neural response. Our findings provide a comprehensive description of how the brain separates linguistic structures in the dynamics of neural responses, and imply that phase synchronization and strength of connectivity can be used as readouts for constituent structure, providing a novel basis for future neurophysiological research on linguistic structure in the brain.

A Guide to Old Spanish

2018 ◽  
Author(s):  
Steven N. Dworkin
Keyword(s):  
The Body ◽  
Standard Language ◽  
Function Words ◽  
Sound System ◽  
Old Spanish ◽  
And Function ◽  
Linguistic Structures ◽  
Verb Tense ◽  
Modern Standard

This book describes the linguistic structures that constitute Medieval or Old Spanish as preserved in texts written prior to the beginning of the sixteenth century. It emphasizes those structures that contrast with the modern standard language. Chapter 1 presents methodological issues raised by the study of a language preserved only in written sources. Chapter 2 examines questions involved in reconstructing the sound system of Old Spanish before discussing relevant phonetic and phonological details. The chapter ends with an overview of Old Spanish spelling practices. Chapter 3 presents in some detail the nominal, verbal, and pronominal morphology of the language, with attention to regional variants. Chapter 4 describes selected syntactic structures, with emphasis on the noun phrase, verb phrase, object pronoun placement, subject-verb-object word order, verb tense, aspect, and mood. Chapter 5 begins with an extensive list of Old Spanish nouns, adjectives, verbs, and function words that have not survived into the modern standard language. It then presents examples of coexisting variants (doublets) and changes of meaning, and finishes with an overview of the creation of neologisms in the medieval language through derivational morphology (prefixation, suffixation, compounding). The book concludes with an anthology composed of three extracts from Spanish prose texts, one each from the thirteenth, fourteenth, and fifteenth centuries. The extracts contain footnotes that highlight relevant morphological, syntactic, and lexical features, with cross references to the relevant sections in the body of the book.

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 fNIRS Signal Classification Based on Deep Learning in Rock-Paper-Scissors Imagery Task

2021 ◽  
Vol 11 (11) ◽  
pp. 4922
Author(s):  
Tengfei Ma ◽  
Wentian Chen ◽  
Xin Li ◽  
Yuting Xia ◽  
Xinhua Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Total Duration ◽  
Signal Classification ◽  
Imagery Task ◽  
Neural Activities ◽  
Computer Interfaces ◽  
Acquisition Device ◽  
The Time Domain ◽  
The Brain

To explore whether the brain contains pattern differences in the rock–paper–scissors (RPS) imagery task, this paper attempts to classify this task using fNIRS and deep learning. In this study, we designed an RPS task with a total duration of 25 min and 40 s, and recruited 22 volunteers for the experiment. We used the fNIRS acquisition device (FOIRE-3000) to record the cerebral neural activities of these participants in the RPS task. The time series classification (TSC) algorithm was introduced into the time-domain fNIRS signal classification. Experiments show that CNN-based TSC methods can achieve 97% accuracy in RPS classification. CNN-based TSC method is suitable for the classification of fNIRS signals in RPS motor imagery tasks, and may find new application directions for the development of brain–computer interfaces (BCI).

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.

Tuning the brain for novelty detection under emotional threat: the role of specific gamma-band phase synchronization

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S42
Author(s):  
M Garcia-Garcia ◽  
J Yordanova ◽  
V Kolev ◽  
J Dominguez-Borras ◽  
C Escera
Keyword(s):  
Phase Synchronization ◽  
Novelty Detection ◽  
Gamma Band ◽  
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.

Detecting sarcasm in customer tweets: an NLP based approach

2017 ◽  
Vol 117 (6) ◽  
pp. 1109-1126 ◽  
Author(s):  
Shubhadeep Mukherjee ◽  
Pradip Kumar Bala
Keyword(s):  
Language Processing ◽  
Social Issues ◽  
Customer Management ◽  
Function Words ◽  
Content Type ◽  
Management Perspective ◽  
Supervised Learning Algorithms ◽  
Practical Implications ◽  
Incorrect Classification

Purpose The purpose of this paper is to study sarcasm in online text – specifically on twitter – to better understand customer opinions about social issues, products, services, etc. This can be immensely helpful in reducing incorrect classification of consumer sentiment toward issues, products and services. Design/methodology/approach In this study, 5,000 tweets were downloaded and analyzed. Relevant features were extracted and supervised learning algorithms were applied to identify the best differentiating features between a sarcastic and non-sarcastic sentence. Findings The results using two different classification algorithms, namely, Naïve Bayes and maximum entropy show that function words and content words together are most effective in identifying sarcasm in tweets. The most differentiating features between a sarcastic and a non-sarcastic tweet were identified. Practical implications Understanding the use of sarcasm in tweets let companies do better sentiment analysis and product recommendations for users. This could help businesses attract new customers and retain the old ones resulting in better customer management. Originality/value This paper uses novel features to identify sarcasm in online text which is one of the most challenging problems in natural language processing. To the authors’ knowledge, this is the first study on sarcasm detection from a customer management perspective.

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