Dissertation/Thesis

IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces
Συγγραφείς: Dzikowski, Ryszard
Συνεισφορές: Dzikowski, Ryszard
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2025
Συλλογή: Zenodo
Θεματικοί όροι: neural interfaces, IntraCavi, Neuromodulation, Cognitive Enhancement, Human-AI Collaboration, Sensory Integration, Focused Ultrasound
Περιγραφή: IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces" introduces a novel approach to neuromodulation by leveraging the 12 cranial nerves through non-invasive, multimodal stimulation. Inspired by the octopus's decentralized nervous system, IntraCavi combines focused ultrasound, electrical impulses, and mechanical vibrations with AI-driven personalization to expand human cognitive and sensory capabilities. This research highlights transformative applications in rehabilitation, cognitive enhancement, and human-AI symbiosis, redefining the boundaries of human potential and neural integration.
Τύπος εγγράφου: Thesis
Γλώσσα: unknown
Relation: https://www.researchgate.net/publication/388029710_IntraCavi_Unlocking_Human_Potential_through_Advanced_Neural_Interfaces; https://zenodo.org/records/14654483; oai:zenodo.org:14654483; https://doi.org/10.5281/zenodo.14654483
DOI: 10.5281/zenodo.14654483
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.14654483
https://zenodo.org/records/14654483
https://www.researchgate.net/publication/388029710_IntraCavi_Unlocking_Human_Potential_through_Advanced_Neural_Interfaces
Rights: © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0
Αριθμός Καταχώρησης: edsbas.66912313
Βάση Δεδομένων: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.5281/zenodo.14654483#
    Name: EDS - BASE (ns324271)
    Category: fullText
    Text: View record from BASE
Header DbId: edsbas
DbLabel: BASE
An: edsbas.66912313
RelevancyScore: 892
AccessLevel: 3
PubType: Dissertation/Thesis
PubTypeId: unknown
PreciseRelevancyScore: 891.935607910156
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dzikowski%2C+Ryszard%22">Dzikowski, Ryszard</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Dzikowski, Ryszard
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: Zenodo
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2025
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Zenodo
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22neural+interfaces%22">neural interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22IntraCavi%22">IntraCavi</searchLink><br /><searchLink fieldCode="DE" term="%22Neuromodulation%22">Neuromodulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Enhancement%22">Cognitive Enhancement</searchLink><br /><searchLink fieldCode="DE" term="%22Human-AI+Collaboration%22">Human-AI Collaboration</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+Integration%22">Sensory Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Focused+Ultrasound%22">Focused Ultrasound</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces" introduces a novel approach to neuromodulation by leveraging the 12 cranial nerves through non-invasive, multimodal stimulation. Inspired by the octopus's decentralized nervous system, IntraCavi combines focused ultrasound, electrical impulses, and mechanical vibrations with AI-driven personalization to expand human cognitive and sensory capabilities. This research highlights transformative applications in rehabilitation, cognitive enhancement, and human-AI symbiosis, redefining the boundaries of human potential and neural integration.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Thesis
– Name: Language
  Label: Language
  Group: Lang
  Data: unknown
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.researchgate.net/publication/388029710_IntraCavi_Unlocking_Human_Potential_through_Advanced_Neural_Interfaces; https://zenodo.org/records/14654483; oai:zenodo.org:14654483; https://doi.org/10.5281/zenodo.14654483
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.5281/zenodo.14654483
– Name: URL
  Label: Availability
  Group: URL
  Data: https://doi.org/10.5281/zenodo.14654483<br />https://zenodo.org/records/14654483<br />https://www.researchgate.net/publication/388029710_IntraCavi_Unlocking_Human_Potential_through_Advanced_Neural_Interfaces
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.66912313
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.66912313
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5281/zenodo.14654483
    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: neural interfaces
        Type: general
      – SubjectFull: IntraCavi
        Type: general
      – SubjectFull: Neuromodulation
        Type: general
      – SubjectFull: Cognitive Enhancement
        Type: general
      – SubjectFull: Human-AI Collaboration
        Type: general
      – SubjectFull: Sensory Integration
        Type: general
      – SubjectFull: Focused Ultrasound
        Type: general
    Titles:
      – TitleFull: IntraCavi: Unlocking Human Potential through Advanced Neural Interfaces
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dzikowski, Ryszard
      – PersonEntity:
          Name:
            NameFull: Dzikowski, Ryszard
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
ResultId 1