Cited by 148Neuroscience and Neural EngineeringNeural dynamics and brain functionEEG and Brain-Computer Interfaces

Restoring lost cognitive function.

Berger, T.W., Ahuja, A., Courellis, S.H., Deadwyler, S.A., Erinjippurath, G., Gerhardt, G.A., Gholmieh, G., Granacki, J.J. +9 more·2005·IEEE Engineering in Medicine and Biology Magazine

Abstract

A prosthetic device that functions in a biomimetic manner to replace information transmission between cortical brain regions is considered. In such a prosthesis, damaged CNS neurons is replaced with a biomimetic system comprised of silicon neurons. The replacement silicon neurons would have functional properties specific to those of the damaged neurons and would both receive as inputs and send as outputs electrical activity to regions of the brain with which the damaged region previously communicated. Thus, the class of prosthesis proposed is one that would replace the computational function of the damaged brain and restore the transmission of that computational result to other regions of the nervous system.

Integrity signals

Registry

Crossref · 10.1109/memb.2005.1511498

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  • BMI technology is currently pursued via invasive neural interfaces composed of neural microchip sensor arrays that contain a plurality of electrodes that can detect multicellular signals, available for several brain areas.

    “Brain–machine interface technology is currently being pursued via invasive neural interfaces composed of neural microchip sensor arrays that contain a plurality of electrodes that can detect multicellular signals. These are available for several brain areas (e.g., visual cortex, motor cortex neuroprosthetics, hippocampus, and others) (Berger et al., 2005; BrainGate, 2009).”

    From Human Brain/Cloud Interface (2019) · cites this paper as Berger et al., 2005

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Authors
Berger, T. W., Ahuja, A., Courellis, S. H., Deadwyler, S. A., Erinjippurath, G., Gerhardt, G. A., Gholmieh, G., Granacki, J. J., Hampson, R., Hsaio, M. C., Lacoss, J., Marmarelis, V. Z., Nasiatka, P., Srinivasan, V., Song, D., Tanguay, A. R., & Wills, J.
Affiliations
  • University of Southern California (US)
  • University of Kentucky (US)
  • Wake Forest University (US)
  • American Institute for Medical and Biological Engineering (US)
Venue
IEEE Engineering in Medicine and Biology Magazine
Published
2005-09
Volume
24
Issue
5
Pages
30-44
ISSN
0739-5175 (ISSN-L)
OpenAlex
W2002501563
Cited by
148
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 9 · 2014: 12 · 2013: 6 · 2012: 14
FWCI
0.69
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
neuroprosthetics, brain-computer interface
MeSH terms
Artificial Intelligence, Cognition Disorders, Electrodes, Implanted, Equipment Design, Hippocampus, Humans, Microelectrodes, Therapy, Computer-Assisted, User-Computer Interface, Equipment Failure Analysis, Biomimetics, Deep Brain Stimulation

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