Cognitive Neural Prosthetics.
The cognitive neural prosthetic (CNP) is a very versatile method for assisting paralyzed patients and patients with amputations. The CNP records the cognitive state of the subject, rather than signals strictly related to motor execution or sensation. We review a number of high-level cortical signals...
| Publicado en: | Annual Review of Psychology Vol. 61; pp. 169 - 191 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Annual Reviews Inc.
2010
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511467992&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511467992 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00664308 ARP jtl: Annual Review of Psychology issn: 00664308 maglogo: N pubinfo: dt: 2010 vid: 61 pid: 59 pub: Annual Reviews Inc. artinfo: ui: 511467992 10.1146/annurev.psych.093008.100503 ppf: 169 ppct: 22 formats: tig: atl: Cognitive Neural Prosthetics. aug: au: Andersen, Richard A. Hwang, Eun Jung Mulliken, Grant H. su: Brain-computer interfaces People with paralysis Amputation Prosthetics sug: subj: Brain-computer interfaces People with paralysis Amputation Prosthetics keyword: Neural interfaces ab: The cognitive neural prosthetic (CNP) is a very versatile method for assisting paralyzed patients and patients with amputations. The CNP records the cognitive state of the subject, rather than signals strictly related to motor execution or sensation. We review a number of high-level cortical signals and their application for CNPs, including intention, motor imagery, decision making, forward estimation, executive function, attention, learning, and multi-effector movement planning. CNPs are defined by the cognitive function they extract, not the cortical region from which the signals are recorded. However, some cortical areas may be better than others for particular applications. Signals can also be extracted in parallel from multiple cortical areas using multiple implants, which in many circumstances can increase the range of applications of CNPs. The CNP approach relies on scientific understanding of the neural processes involved in cognition, and many of the decoding algorithms it uses also have parallels to underlying neural circuit functions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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