Performance analysis for capacitive electrical neural interfaces
Accepted version
Peer-reviewed
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Abstract
Neural interfaces will pave the way for novel treatment methods for neural disorders, which are due to communication problems in nervous system. Such disorders include spinal cord injuries, Alzheimer's and Multiple Sclerosis. In this work, we present a novel neural stimulator, which will act as the transmitter part of a neural interface. We perform in detail physical analysis of such a device for the first time, considering the electrostatic and capacitive effects. We also establish the stimulation requirements of the post-synaptic neuron and support our findings with COMSOL simulations. This work will pave the way to the design of more efficient neural stimulators.
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Keywords
32 Biomedical and Clinical Sciences, 40 Engineering, 4003 Biomedical Engineering, 46 Information and Computing Sciences, 3209 Neurosciences, 4611 Machine Learning, Neurodegenerative, Neurosciences, Brain Disorders, Neurological
Journal Title
2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)
Conference Name
IEEE 18th International Conference on Nanotechnology
Journal ISSN
1944-9399
1944-9380
1944-9380
Volume Title
2019-January
Publisher
IEEE
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All rights reserved
Sponsorship
European Research Council (616922)
European Research Council (780645)
European Research Council (780645)
This work was supported in part by the ERC project MINERVA (ERC-2013-CoG #616922), and the ERC Project MINERGRACE (ERC-2018-PoC #780645).