2019
DOI: 10.3389/fnins.2019.00112
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Human Brain/Cloud Interface

Abstract: The Internet comprises a decentralized global system that serves humanity’s collective effort to generate, process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a “human brain/cloud interface” (“B/CI”), would be based on technologies referred to here as “neuralnanorobotics.” Future neuralnanorobotics technologies are anticipa… Show more

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Cited by 63 publications
(51 citation statements)
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References 232 publications
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“…Growing and running the human brain is energetically expensive. Structural complexities, computational capabilities and bioenergetic demands reflect whole-brain estimates based on data cited by Azevedo et al (2009); Bailey (2019b); Cherry et al (2018); Engl & Attwell (2015); Herculano-Houzel (2011); Kety (1957); Martins et al (2019); and Waldrop (2012). (a,b) It has been estimated that given its structural complexities, the computational power required to simulate human brain function (such as the Blue Brain simulation, a prototype for the Human Brain Project) needs to fall within the exaflop range, equivalent to 10 18 floating point operations per second (flops) (Waldrop, 2012).…”
Section: Pushing the Limits; The Brain's Bioenergetic Tightropementioning
confidence: 96%
See 1 more Smart Citation
“…Growing and running the human brain is energetically expensive. Structural complexities, computational capabilities and bioenergetic demands reflect whole-brain estimates based on data cited by Azevedo et al (2009); Bailey (2019b); Cherry et al (2018); Engl & Attwell (2015); Herculano-Houzel (2011); Kety (1957); Martins et al (2019); and Waldrop (2012). (a,b) It has been estimated that given its structural complexities, the computational power required to simulate human brain function (such as the Blue Brain simulation, a prototype for the Human Brain Project) needs to fall within the exaflop range, equivalent to 10 18 floating point operations per second (flops) (Waldrop, 2012).…”
Section: Pushing the Limits; The Brain's Bioenergetic Tightropementioning
confidence: 96%
“…(); Engl & Attwell (); Herculano‐Houzel (); Kety (); Martins et al. (); and Waldrop (). (a,b) It has been estimated that given its structural complexities, the computational power required to simulate human brain function (such as the Blue Brain simulation, a prototype for the Human Brain Project) needs to fall within the exaflop range, equivalent to 10 18 floating point operations per second (flops) (Waldrop, ).…”
Section: Origins and Evolution Of The Human Brain; Burgeoning Energy mentioning
confidence: 99%
“…38 Advances are occurring at a rapid pace and many previous technical bottlenecks that have prevented BCIs from widespread implementation are beginning to be overcome. [39][40][41] Research and development of BCIs have accelerated quickly in the past decade. 42 Future directions seek to achieve a symbiosis of AI and the human brain for cognitive enhancement and rapid transfer of information between individuals or computer systems.…”
Section: O'brien and Nelsonmentioning
confidence: 99%
“…Indeed, advanced forms of nanotech and biotech developments pave the way to such speculations being actualized. Beyond enhancing physical capability past levels of natural performance, the possibility of brain-computer connectivity ( Lotte et al., 2007 ; Martins et al., 2019 ) to enhance brain capability arises. Further and controversially, is the establishing, ethics and acceptability of human companionship and intimacy with android partners ( Song, 2018 ).…”
Section: The Six Genres Of Technologymentioning
confidence: 99%