Communication of Internal Speech with Communicative Associative Robot via Spectral Neurointerface
Thought communications with an associative-communicative robot are carried out through the spectral neurointerface of internal speech.Internal speech is an energy physiological process.Internal speech is vibration from the mental vibration of thought.Mental vibration of thought is a process in the mental ethereal field.The vibrations of thoughts are reflected and observed by the mind in the form of semantic sensual images.Vibrations of semantic sensual images generate vibrations of internal speech action (internal speech) in the form of language communicative and associative stereotypes which are perceived by a touch zone of a brain of Wernicke.Internal speech is a linguistic mental vibration.It is felt and becomes internally audible and drawn to attention.The perception of vibrations of internal speech is carried out through energy channels,such as the internal posterior median canal of the spine.The spectral neurointerface perceives these vibrations.Neocortex makes us a reasonable person - allows us to think and talk.The spectral neurointerface is based on the principles of biosensors,bioenergy detectors,spectral analyzers and electrocorticography for neuroimaging parts of the brain that record vibrations of internal speech,such as the lower frontal gyrus,the upper and middle temporal gyrus,the medial prefrontal cortex,the hind parts of the wedge and precline and the dark temporal region,including the posterior Internal speech activity is associated with the semantic memory of the neocortex.
Keywords:Spectral neurointerface, Electrocorticography, Internal speech, Communicative robot
 Nicolelis M.A. (2011). Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines - and How It Will Change Our Lives, 354 pp. New York, Times Books.
 Zander T.O. Team Phy PA: Brain-computer interfacing for everyday human-computer interaction. Professional network for scientists and researchers «ResearchGate», 2017. 61(2). pp. 209-216.
 Lebedev M. Human Brain/Cloud Interface. Frontiers in Neuroscience. 2019. Vol. 13. P. 1-24.
 Sinkin M.V., Osadchiy A.E., Lebedev M.А. High resolution passive speech mapping in dominant hemisphere glioma neurosurgery. Russian Journal of Neurosurgery 2019;21(3).
 Evgeniy Bryndin, Irina Bryndina. Technological Diagnostics of Human Condition According to Spectral Analysis of Biofield. Advances in Bioscience and Bioengineering. Volume 7, Issue 3,2019.Pages: 64-68.
 Evgeniy Bryndin. Implementation of International Telemedicine network with Rapid Coronavirus Registration by Resonant Technology to Neutralize the Pandemic. Computational Biology and Bioinformatics. Vol. 8, Issue 2, 2020, pp.29-35.
 N. I. Chervyakov, Pavel Lyakhov, Maria Kiladze.EEG Neuro - processing for the development of neurointerfaces. IOP Conference Series Materials Science and Engineering. July 2020.
 Maksim Zhuk and ather. On-Chip TaOx-Based Non-volatile Resistive Memory for in vitro Neurointerfaces. Front. Neurosci., 26, February 2020.
 Evgeny Bryndin. Functional and Harmonious Self-Organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies. American Journal of Software Engineering and Applications.Vol. 9, Issue 3, 2021.
 Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks,Universities and Smart Factories. International Journal of Management and Fuzzy Systems. V.3,N.5, 2017, pp 57-66.
 Evgeniy Bryndin. Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market.International Journal of Systems Science and Applied Mathematic, V. 4, № 3, 2019. Pages:31-37.
 Evgeniy Bryndin. Robots for Communication in Public in High-Tech Industry Life and Space.Frontiers Journal of Current Engineering Research. Volume 1,Issue 1, 2019. P. 1-10
 Evgeniy Bryndin. System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking.International Robotics Automation Journal.2019;5(3.):112-119.
 Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. American Journal of Mechanical and Industrial Engineering. Volume 5,Issue 1, 2020. Pages: 6-14.
 Evgeny Bryndin. Robotization of Service with Goods and Products via Automatic Cabinet.International Robotics & Automation Journal, Volume 7, Issue 1,2021. pp. 20-22.