Fractal Electronics for Stimulating and Sensing Neural Networks : Enhanced Electrical, Optical, and Cell Interaction Properties
(2024) In Advances in Neurobiology 36. p.849-875- Abstract
Imagine a world in which damaged parts of the body – an arm, an eye, and ultimately a region of the brain – can be replaced by artificial implants capable of restoring or even enhancing human performance. The associated improvements in the quality of human life would revolutionize the medical world and produce sweeping changes across society. In this chapter, we discuss several approaches to the fabrication of fractal electronics designed to interface with neural networks. We consider two fundamental functions – stimulating electrical signals in the neural networks and sensing the location of the signals as they pass through the network. Using experiments and simulations, we discuss the favorable electrical performances that arise from... (More)
Imagine a world in which damaged parts of the body – an arm, an eye, and ultimately a region of the brain – can be replaced by artificial implants capable of restoring or even enhancing human performance. The associated improvements in the quality of human life would revolutionize the medical world and produce sweeping changes across society. In this chapter, we discuss several approaches to the fabrication of fractal electronics designed to interface with neural networks. We consider two fundamental functions – stimulating electrical signals in the neural networks and sensing the location of the signals as they pass through the network. Using experiments and simulations, we discuss the favorable electrical performances that arise from adopting fractal rather than traditional Euclidean architectures. We also demonstrate how the fractal architecture induces favorable physical interactions with the cells they interact with, including the ability to direct the growth of neurons and glia to specific regions of the neural–electronic interface.
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- author
- Moslehi, S. ; Rowland, C. ; Smith, J. H. ; Watterson, W. J. ; Griffiths, W. ; Montgomery, R. D. ; Philliber, S. ; Marlow, C. A. ; Perez, M. T. LU and Taylor, R. P.
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Electronics, Fractals, Human implants, Neurons
- host publication
- The Fractal Geometry of the Brain
- series title
- Advances in Neurobiology
- volume
- 36
- pages
- 27 pages
- publisher
- Springer Gabler
- external identifiers
-
- pmid:38468067
- scopus:85187801717
- ISSN
- 2190-5223
- 2190-5215
- ISBN
- 978-3-031-47606-8
- 978-3-031-47605-1
- DOI
- 10.1007/978-3-031-47606-8_43
- language
- English
- LU publication?
- yes
- id
- 2fe3552c-040d-4074-af9e-28d0e3b013b9
- date added to LUP
- 2024-04-02 11:44:53
- date last changed
- 2024-04-16 13:30:35
@inbook{2fe3552c-040d-4074-af9e-28d0e3b013b9,
abstract = {{<p>Imagine a world in which damaged parts of the body – an arm, an eye, and ultimately a region of the brain – can be replaced by artificial implants capable of restoring or even enhancing human performance. The associated improvements in the quality of human life would revolutionize the medical world and produce sweeping changes across society. In this chapter, we discuss several approaches to the fabrication of fractal electronics designed to interface with neural networks. We consider two fundamental functions – stimulating electrical signals in the neural networks and sensing the location of the signals as they pass through the network. Using experiments and simulations, we discuss the favorable electrical performances that arise from adopting fractal rather than traditional Euclidean architectures. We also demonstrate how the fractal architecture induces favorable physical interactions with the cells they interact with, including the ability to direct the growth of neurons and glia to specific regions of the neural–electronic interface.</p>}},
author = {{Moslehi, S. and Rowland, C. and Smith, J. H. and Watterson, W. J. and Griffiths, W. and Montgomery, R. D. and Philliber, S. and Marlow, C. A. and Perez, M. T. and Taylor, R. P.}},
booktitle = {{The Fractal Geometry of the Brain}},
isbn = {{978-3-031-47606-8}},
issn = {{2190-5223}},
keywords = {{Electronics; Fractals; Human implants; Neurons}},
language = {{eng}},
pages = {{849--875}},
publisher = {{Springer Gabler}},
series = {{Advances in Neurobiology}},
title = {{Fractal Electronics for Stimulating and Sensing Neural Networks : Enhanced Electrical, Optical, and Cell Interaction Properties}},
url = {{http://dx.doi.org/10.1007/978-3-031-47606-8_43}},
doi = {{10.1007/978-3-031-47606-8_43}},
volume = {{36}},
year = {{2024}},
}