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Journal Neurocomputers №11 for 2015 г.
Article in number:
Digital neural intreface
Authors:
N.A. Novoselova-Savelyevа - Ophthalmologist, Bashkir State Medical University, clinic №40 (Ufa) A.V. Savelyev - Senior Research Scientist, Deputy Editor in Chief of the Journal «Neurocomputers: development, application», «Radio Engineering» Publisher, Director of the Patent agency «©Uniquely honest patenting» www.patenttt.narod.ru, Scientific coordinator of the permanent seminar «Neyrophylosophy» of the Moscow State University by M.V. Lomonosov (Moscow). E-mail: gmkristo@rambler.ru
Abstract:
The paper argues that the problem of the interface «brain - computer» has been repeatedly and completely solved throughout the history of science. Recently, more frequent reports of attempts to technical objects control directly using human mental activity becomes by the very fashionable object of information sources. Numerous publications and reports boldly declare that this problem is almost the solved, or at least very close to resolution. However, a comprehensive analysis of historical perspective and status does not allow agree with this definitely. Given huge number of past neurointerface problem studies, it is difficult to assume not only that they did not give any results, but even that the problem was not solved neurointerface using them repeatedly and fully historically. As an illustration we shows one of the many historical the problem neurointerface solving at the level of children\'s designer, unknown to this day. It was exposed from 1973 to 1977 on exhibition in the Pioneers Palaces repeatedly, and everyone can its make at home in the kitchen. It is concluded that the main mistake of modern attempts to create neurointerface from scratch without studying history is striving to improve accuracy of EEG-analysis. It has a focus on attempts of signal filtering that to get one correspondence mental image or its component to current parameters of the EEG in real time. At the same time one of the simplest solutions is quite the opposite - the maximum desensitization measurements up to produce a binary control signal. Among other things, this solution can significantly simplify of the technique EEG signal measurement, since simplest Holter measurement circuit is sufficient. Despite the apparent simplicity of this «childish» neurointerface, you can use the binary control signal as a numeric code, for example, the sequential type. It can be transmitted on a single channel with subsequent transformation into a conventional parallel binary code. With this simple neurointerface converted into a full with the number of control commands corresponding to the number of bits of the converted parallel code. The number of bits is limited by the speed of response of the operator only. The proposed neurointerface can not only increase the realism neurocontrol, completely eliminating the need for signals are not related to the EEG, but also improve the control quality and while expanding its capabilities. This work was financially supported by RHSF in grant № 15-03-00519а «Post-non-classic paradigm of artificial intellect».
Pages: 56-64
References

 

  1. Sozdan kontroller mozga http://www.nektaria.ellink.ru/dop/virtual-dream/steps/brain-control.htm
  2. 150 let «Refleksam golovnogo mozga» / otv. redaktory: A.JU. Alekseev, JU.JU. Petrunin, A.V. Savelev E.A. JAnkovskaja // Kollektivnaja NAUCHNAJA MONOGRAFIJA, posvjashhjonnaja izdaniju stati I.M. Sechenova. M.: «IIntell». 2014. S. 6-26. 432 c.
  3. Anokhin P. K. Vzaimodejjstvie kletok uslovnogo i bezuslovnogo razdrazhitelejj v techenie primenenija poslednego // Trudy Fiziol. laboratorijj im. I.P. Pavlova. 1927. T. 2. S. 107-115.
  4. Kobrinskijj A.E. i dr. Bioehlektricheskaja sistema upravlenija // Dokl. AN SSSR. 1957. T. 117. № 1. S. 78-80.
  5. Gurfinkel V.S., Malkin V.B., Cetlin M.L., SHnejjder A.JU. Bioehlektricheskoe upravlenie M.: Nauka, 1972. 246 s.
  6. Patent SU110657. Sposob bioehlektricheskogo upravlenija mekhanizmami i ustrojjstvami / A.E. Kobrinskijj, M.G. Brejjdo, V.S. Gurfinkel, A.JA. Sysin, JA.S.JAkobson A61F4/00 s prioritetom ot 27.03.1957.
  7. Bernshtejjn N.A. Fiziologija dvizhenijj i aktivnost. Ser.: Klassiki nauki. M.: Nauka, 1990. S. 36. 384.
  8. Patent SU1436720.Ustrojjstvo dlja modelirovanija nejjrona / Novosjolova-Saveleva N. A., Savelev A. V.  1988.
  9. Savelev A.V. Nejjrokompjutery v izobretenijakh // Nejjrokompjutery: razrabotka, primenenie. 2004. № 2-3. S. 33-49.
  10. Othmer S. History of neurofeedback // Restoring the Brain: Neurofeedback as an Integrative Approach to Health. 2015. R. 23.
  11. Kouijzer M. E. J.Schie H.T., Gerrits B.J.L. Buitelaar J.K., de Moor J.M.H.Is EEG-biofeedback an effective treatment in autism spectrum disorders - A randomized controlled trial // Applied psychophysiology and biofeedback. 2013. T. 38. №. 1. R. 17-28.
  12. Thatcher R., Biver C., North D. History and technical foundations of Z score EEG biofeedback // Z-score neurofeedback: Clinical applications. 2015. P. 1-21. 381 p.
  13. Kim S. Heart rate variability biofeedback, self-regulation, and severe brain injury // Biofeedback. 2015. T. 43. №. 1. R. 6-14.
  14. Potapov G. Model tanka KV-1 // Modelist-konstruktor. 1970. №9. S.26-32.
  15. Bekhtereva N.P. Magija mozga i labirinty zhizni. Astrel. Sova, 2006. S. 226-227. 442 s.
  16. Kaplan A.JA. Instrumentalnyjj kontakt s mozgom: teoreticheskie osnovanija i prakticheskie realizacii // vystuplenie na 16-m seminare «Nejjrofilosofija» MGU im. M.V. Lomonosova. 26.11.2015. http://www.neurophilosophy.ru/seminar/17/
  17. http://neurosky.com/
  18. http://serg.fedosin.ru/pr.htm
  19. Savelev A. V.Nejjrosegmentarnost: otrazhenie sinergizma metamernosti kak osnova funkcionalnykh desimmetrijj mozga / V sb.: V Vseros. seminar «Nejjroinformatika i ee prilozhenija». Krasnojarsk, 1997. S. 99.
  20. Savelev A. V. Lateralizacija mozga i gendernaja vidospecifichnost v antropobiologicheskojj dinamike i polovojj differenciacii / V materialakh IV sezda akusherov-ginekologov Rossii. M., Medi EHKSPO, 2008. S. 471-472. 618 s.
  21. Geodakjan V.A. Asinkhronnaja asimmetrija // ZHurnal vysshejj nervnojj dejatelnosti. 1993. T. 43. № 3. C. 543-561.
  22. Geodakjan V.A. O differenciacii sistem na dve soprjazhennye podsistemy / V kn.: Problemy biokibernetiki. Upravlenie i informacionnye processy v zhivojj prirode. M.: Nauka. 1971. C. 26.
  23. Rusinov V.S. Funkcionalnoe znachenie ehlektricheskikh processov golovnogo mozga. M.: Nauka. 1977. 336 s.
  24. Savelev A. V. Na puti k obshhejj teorii nejjrosetejj. K voprosu o slozhnosti // Nejjrokompjutery: razrabotka, primenenie. 2006. № 4-5. S.4-14.