Performance analysis for capacitive electrical neural interfaces
2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)
IEEE 18th International Conference on Nanotechnology
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Koca, C., Dinc, E., Ramezani, H., & Akan, O. (2018). Performance analysis for capacitive electrical neural interfaces. 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 2019-January https://doi.org/10.1109/NANO.2018.8706513
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.
This work was supported in part by the ERC project MINERVA (ERC-2013-CoG #616922), and the ERC Project MINERGRACE (ERC-2018-PoC #780645).
European Commission FP7 ERC Consolidator Grant (616922)
European Commission Horizon 2020 (H2020) ERC (780645)
External DOI: https://doi.org/10.1109/NANO.2018.8706513
This record's URL: https://www.repository.cam.ac.uk/handle/1810/298251
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