{"title":"Enplants: genomically engineered neural tissue with neuroprosthetic and communications functionality","authors":"S. M. Dambrot","doi":"10.1109/CEWIT.2017.8263303","DOIUrl":null,"url":null,"abstract":"Given the gulf between current science and technology knowledge and implementation, on the one hand, and on the other the emergence of interdisciplinary and transdisciplinary research derived from the accelerating rate of scientific discovery and technological innovation, future science/technology scenarios may be conservatively viewed—historically often incorrectly--as being improbable or even impossible. It is from this perspective that I introduce a hypothetical method, supported by a review of the literature, in which future generations of synthetic genomics, bionanotechnology and counterfactual keyless quantum entanglement meld to make possible the expression of neural tissue augmented with preprogrammed technological functions. Herein termed enplants (endogenous implants), these modified neuronal cells could function as intracranial neuroprosthetic devices biophysically expressed from modified and de novo genetic sequences. The proposed enplant technology would enable the development of precise neural bioprostheses with stable decoherence-resistant time- and distance-agnostic quantum communications capabilities. These “features would allow implant-free real-time Biological Brain-Machine Interface (βBMI) functionality without invasive transcranial surgery or the tissue inflammation and other complications associated with current neuroprosthetic implants. Moreover, real-time B2MI-provided neurological diagnosis, therapy and functional augmentation would integrate with the user’s perception and awareness.","PeriodicalId":129601,"journal":{"name":"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEWIT.2017.8263303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Given the gulf between current science and technology knowledge and implementation, on the one hand, and on the other the emergence of interdisciplinary and transdisciplinary research derived from the accelerating rate of scientific discovery and technological innovation, future science/technology scenarios may be conservatively viewed—historically often incorrectly--as being improbable or even impossible. It is from this perspective that I introduce a hypothetical method, supported by a review of the literature, in which future generations of synthetic genomics, bionanotechnology and counterfactual keyless quantum entanglement meld to make possible the expression of neural tissue augmented with preprogrammed technological functions. Herein termed enplants (endogenous implants), these modified neuronal cells could function as intracranial neuroprosthetic devices biophysically expressed from modified and de novo genetic sequences. The proposed enplant technology would enable the development of precise neural bioprostheses with stable decoherence-resistant time- and distance-agnostic quantum communications capabilities. These “features would allow implant-free real-time Biological Brain-Machine Interface (βBMI) functionality without invasive transcranial surgery or the tissue inflammation and other complications associated with current neuroprosthetic implants. Moreover, real-time B2MI-provided neurological diagnosis, therapy and functional augmentation would integrate with the user’s perception and awareness.