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Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces

Published in Innovation (Volume 2, Issue 3)
Received: 14 August 2021    Accepted: 24 August 2021    Published: 31 August 2021
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Abstract

The brain coordinates the reproduction and understanding of internal speech. The processes of thinking are given in the form of internal speech. The perception of internal speech involves the primary and secondary crust centers of analyzers, which record the corresponding waves, signals and rhythms and qualify them as language. This is achieved in two ways: either use functional neuroimaging and other additional research methods that allow localizing the structures currently functioning, or select patients with damage to certain areas and conduct a detailed neurocognitive study in comparison with healthy people from the control group, determining which functions in this lesion fall out. The principal issue of internal speech research is languages. A more complex question is the study of the connection of thinking, memory with internal speech. Now, especially when neurologists take into account the plasticity of the brain, functional relationships, general principles, pathways of excitation are of greater interest. Technologists of non-invasive neurointerfaces use methods and technologies to localize structures that control the understanding and reproduction of internal speech, the communication between them, the stages of speech signal processing and the role of each structure at these stages. The introduction to the study highlights approaches and methods for identifying various functional speech aspects. The mental lexicon section discloses the semantic component and the syntactic component, as well as the perceived and reproducible forms of words of internal speech. The section holographic human consciousness describes aspects of storing life information. The hologram of consciousness is the main form of storage of information about human life. In the section, holographic fixation of internal speech presents functional magnetic resonance tomography focused on BOLD effect detection, which is today the optimal tool for mapping neuronal activity, more precisely, the functional state of neural networks - the basis for visualizing our holographic images in real time. Using nanoresonators with Fourier transducers, the brain activity of a human internal speech holographic image can fix mental noninvasive neurointerface in language form by mental lexicon.

Published in Innovation (Volume 2, Issue 3)
DOI 10.11648/j.innov.20210203.11
Page(s) 35-41
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Mental Lexicon, Holographic Consciousness, Neurointerface, Functional Magnetic Resonance Tomography

References
[1] Chuprikova N. I. Differential integration theory of development as the basis for solving the problem of the relationship of language and thinking//Differential integration theory of development. - Book - 2017. – T. 2. - C. 165-190.
[2] Gazzaniga, Michael S, Richard B Ivry, and G. R Mangun. Cognitive Neuroscience: the Biology of the Mind. Fourth edition. New York: W. W. Norton & Company, Inc., 2014.
[3] Roux F. E. et al. Language functional magnetic resonance imaging in preoperative assessment of language areas: correlation with direct cortical stimulation //Neurosurgery. – 2003. – Т. 52. – №. 6. – С. 1335-1347.
[4] Friederici A. D., Weissenborn J. Mapping sentence form onto meaning: The syntax–semantic interface //Brain research. – 2007. – Т. 1146. – С. 50-58.
[5] Penfield W., Roberts L. Speech and brain mechanisms. – Princeton University Press, 2014.
[6] Sidtis D. V. L. et al. Voice and fluency changes as a function of speech task and deep brain stimulation //Journal of speech, language, and hearing research. – 2010. – Т. 53. – №. 5. – С. 1167-1177.
[7] Chang E. F., Raygor K. P., Berger M. S. Contemporary model of language organization: an overview for neurosurgeons //Journal of neurosurgery. – 2015. – Т. 122. – №. 2. – С. 250-261.
[8] Hickok G., Poeppel D. The cortical organization of speech processing //Nature reviews. Neuroscience. – 2007. – Т. 8. – №. 5. – С. 393.
[9] Sarubbo S. et al. Frontal terminations for the inferior fronto-occipital fascicle: anatomical dissection, DTI study and functional considerations on a multi-component bundle //Brain Structure and Function. – 2013. – Т. 218. – №. 1. – С. 21-37.
[10] Mandonnet E. et al. Does the left inferior longitudinal fasciculus play a role in language? A brain stimulation study //Brain. – 2007. – Т. 130. – №. 3. – С. 623-629.
[11] van der Lely H. K. J., Pinker S. The biological basis of language: Insight from developmental grammatical impairments //Trends in Cognitive Sciences. – 2014. – Т. 18. – №. 11. – С. 586-595.
[12] Specht K. Mapping a lateralization gradient within the ventral stream for auditory speech perception //Frontiers in human neuroscience. – 2013. – Т. 7.
[13] Bemis D. K., Pylkkänen L. Basic linguistic composition recruits the left anterior temporal lobe and left angular gyrus during both listening and reading //Cerebral Cortex. – 2012. – Т. 23. – №. 8. – С. 1859-1873.
[14] Friederici A. D. et al. The brain differentiates human and non-human grammars: functional localization and structural connectivity //Proceedings of the National Academy of Sciences of the United States of America. – 2006. – Т. 103. – №. 7. – С. 2458-2463.
[15] Price C. J. The anatomy of language: a review of 100 fMRI studies published in 2009 //Annals of the New York Academy of Sciences. – 2010. – Т. 1191. – №. 1. – С. 62-88.
[16] Häberling I. S., Steinemann A., Corballis M. C. Cerebral asymmetry for language: comparing production with comprehension //Neuropsychologia. – 2016. – Т. 80. – С. 17-23.
[17] Witteman J. et al. The nature of hemispheric specialization for prosody perception: ERP evidence //Towards a Cognitive Neuroscience of Prosody Perception. – 2014. – С. 63.
[18] Mitchell R. L. C., Ross E. D. Attitudinal prosody: What we know and directions for future study //Neuroscience & Biobehavioral Reviews. – 2013. – Т. 37. – №. 3. – С. 471-479.
[19] Frühholz S., Gschwind M., Grandjean D. Bilateral dorsal and ventral fiber pathways for the processing of affective prosody identified by probabilistic fiber tracking //Neuroimage. – 2015. – Т. 109. – С. 27-34.
[20] Ilya S. Bakulin, Alexandra Poydasheva. Transcranial magnetic stimulation in cognitive neuroscience: Methodological basis and safety. 2020. DOI: 10.47010/20.3.2.
[21] Lanfang Liu, Xin Yan. Identifying a supramodal language network in human brain with individual fingerprint. NeuroImage, 220 (10). 2020.
[22] Nima Asadi, Yin Wang. A heuristic information cluster search approach for precise functional brain mapping. Human Brain Mapping, 41 (1). 2020.
[23] Xiaoxiao Wang, Xiao Liang. Decoding and mapping task states of the human brain via deep learning. Human Brain Mapping, 41 (6). 2020.
[24] Takumi Mitsuhash, Masaki Sonoda, Jeong-Won Jeong. Four-dimensional tractography animates propagations of neural activation via distinct interhemispheric pathways. 2021. DOI: 10.1016/j.clinph.2020.11.030.
[25] Evgeny Bryndin. Mental Communication of Internal Speech with Communicative Associative Robot via Spectral Neurointerface. American Journal of Applied Psychology. Volume 10, Issue 3, 2021. pp. 55-64.
[26] Evgeny Bryndin. Resonance Technology of Communication of Specialists via Mental Neurointerfaces. International Journal of Neurologic Physical Therapy. Vol. 7, Issue 1, 2021. pp. 7-13.
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    Evgeniy Bryndin. (2021). Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces. Innovation, 2(3), 35-41. https://doi.org/10.11648/j.innov.20210203.11

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    Evgeniy Bryndin. Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces. Innovation. 2021, 2(3), 35-41. doi: 10.11648/j.innov.20210203.11

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    AMA Style

    Evgeniy Bryndin. Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces. Innovation. 2021;2(3):35-41. doi: 10.11648/j.innov.20210203.11

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  • @article{10.11648/j.innov.20210203.11,
      author = {Evgeniy Bryndin},
      title = {Methods and Technologies of Internal Speech Recognition by Non-Invasive Neurointerfaces},
      journal = {Innovation},
      volume = {2},
      number = {3},
      pages = {35-41},
      doi = {10.11648/j.innov.20210203.11},
      url = {https://doi.org/10.11648/j.innov.20210203.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.innov.20210203.11},
      abstract = {The brain coordinates the reproduction and understanding of internal speech. The processes of thinking are given in the form of internal speech. The perception of internal speech involves the primary and secondary crust centers of analyzers, which record the corresponding waves, signals and rhythms and qualify them as language. This is achieved in two ways: either use functional neuroimaging and other additional research methods that allow localizing the structures currently functioning, or select patients with damage to certain areas and conduct a detailed neurocognitive study in comparison with healthy people from the control group, determining which functions in this lesion fall out. The principal issue of internal speech research is languages. A more complex question is the study of the connection of thinking, memory with internal speech. Now, especially when neurologists take into account the plasticity of the brain, functional relationships, general principles, pathways of excitation are of greater interest. Technologists of non-invasive neurointerfaces use methods and technologies to localize structures that control the understanding and reproduction of internal speech, the communication between them, the stages of speech signal processing and the role of each structure at these stages. The introduction to the study highlights approaches and methods for identifying various functional speech aspects. The mental lexicon section discloses the semantic component and the syntactic component, as well as the perceived and reproducible forms of words of internal speech. The section holographic human consciousness describes aspects of storing life information. The hologram of consciousness is the main form of storage of information about human life. In the section, holographic fixation of internal speech presents functional magnetic resonance tomography focused on BOLD effect detection, which is today the optimal tool for mapping neuronal activity, more precisely, the functional state of neural networks - the basis for visualizing our holographic images in real time. Using nanoresonators with Fourier transducers, the brain activity of a human internal speech holographic image can fix mental noninvasive neurointerface in language form by mental lexicon.},
     year = {2021}
    }
    

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    AU  - Evgeniy Bryndin
    Y1  - 2021/08/31
    PY  - 2021
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    AB  - The brain coordinates the reproduction and understanding of internal speech. The processes of thinking are given in the form of internal speech. The perception of internal speech involves the primary and secondary crust centers of analyzers, which record the corresponding waves, signals and rhythms and qualify them as language. This is achieved in two ways: either use functional neuroimaging and other additional research methods that allow localizing the structures currently functioning, or select patients with damage to certain areas and conduct a detailed neurocognitive study in comparison with healthy people from the control group, determining which functions in this lesion fall out. The principal issue of internal speech research is languages. A more complex question is the study of the connection of thinking, memory with internal speech. Now, especially when neurologists take into account the plasticity of the brain, functional relationships, general principles, pathways of excitation are of greater interest. Technologists of non-invasive neurointerfaces use methods and technologies to localize structures that control the understanding and reproduction of internal speech, the communication between them, the stages of speech signal processing and the role of each structure at these stages. The introduction to the study highlights approaches and methods for identifying various functional speech aspects. The mental lexicon section discloses the semantic component and the syntactic component, as well as the perceived and reproducible forms of words of internal speech. The section holographic human consciousness describes aspects of storing life information. The hologram of consciousness is the main form of storage of information about human life. In the section, holographic fixation of internal speech presents functional magnetic resonance tomography focused on BOLD effect detection, which is today the optimal tool for mapping neuronal activity, more precisely, the functional state of neural networks - the basis for visualizing our holographic images in real time. Using nanoresonators with Fourier transducers, the brain activity of a human internal speech holographic image can fix mental noninvasive neurointerface in language form by mental lexicon.
    VL  - 2
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Author Information
  • Technological Platform FUTURE MEDICINE, Research Centre "NATURAL INFORMATIC", Novosibirsk, Russia

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