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Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols

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Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols. / Wirdatmadja, S. A.; Barros, M. T.; Koucheryavy, Y.; Jornet, J. M.; Balasubramaniam, S.

In: IEEE Transactions on Nanobioscience, Vol. 16, No. 8, 12.2017, p. 859-872.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Wirdatmadja, SA, Barros, MT, Koucheryavy, Y, Jornet, JM & Balasubramaniam, S 2017, 'Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols', IEEE Transactions on Nanobioscience, vol. 16, no. 8, pp. 859-872. https://doi.org/10.1109/TNB.2017.2781150

APA

Wirdatmadja, S. A., Barros, M. T., Koucheryavy, Y., Jornet, J. M., & Balasubramaniam, S. (2017). Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols. IEEE Transactions on Nanobioscience, 16(8), 859-872. https://doi.org/10.1109/TNB.2017.2781150

Vancouver

Author

Wirdatmadja, S. A. ; Barros, M. T. ; Koucheryavy, Y. ; Jornet, J. M. ; Balasubramaniam, S. / Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols. In: IEEE Transactions on Nanobioscience. 2017 ; Vol. 16, No. 8. pp. 859-872.

Bibtex - Download

@article{efd3b4967e3f47f09469a85de780aa8e,
title = "Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols",
abstract = "In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for brain stimulation. However, there are limitations and challenges with the current technologies. They include neuron population stimulation instead of single neuron level, the size, the biocompatibility, and the device lifetime reliability in the patient’s brain. We have recently proposed the concept of wireless optogenetic nanonetworking devices (WiOptND) that could address the problem of long term deployment, and at the same time target single neuron stimulation utilizing ultrasonic as a mode for energy harvesting. Additionally, a number of charging protocols are also proposed, in order to minimize the quantity of energy required for charging, while ensuring minimum number of neural spike misfirings. These protocols include the simple Charge and Fire, which requires the full knowledge of the raster plots of neuron firing patterns, and the Predictive Sliding Detection Window, and its variant Markov-Chain based Time-Delay Patterns, which minimizes the need for full knowledge of neural spiking patterns as well as number of ultrasound charging frequencies. Simulation results exhibit a drop for the stimulation ratio of ~25{\%} and more stable trend in its efficiency ratio (standard deviation of ~0.5{\%}) for the Markov-Chain based Time-Delay Patterns protocol compared to the baseline Change and Fire. The results show the feasibility of utilizing WiOptND for longterm implants in the brain, and a new direction towards precise stimulation of neurons in the cortical microcolumn of the brain cortex.",
keywords = "Nanobioscience, Neurons, Protocols, Transceivers, Ultrasonic imaging, Wireless communication",
author = "Wirdatmadja, {S. A.} and Barros, {M. T.} and Y. Koucheryavy and Jornet, {J. M.} and S. Balasubramaniam",
year = "2017",
month = "12",
doi = "10.1109/TNB.2017.2781150",
language = "English",
volume = "16",
pages = "859--872",
journal = "IEEE Transactions on Nanobioscience",
issn = "1536-1241",
publisher = "Institute of Electrical and Electronics Engineers",
number = "8",

}

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TY - JOUR

T1 - Wireless Optogenetic Nanonetworks for Brain Stimulation: Device Model and Charging Protocols

AU - Wirdatmadja, S. A.

AU - Barros, M. T.

AU - Koucheryavy, Y.

AU - Jornet, J. M.

AU - Balasubramaniam, S.

PY - 2017/12

Y1 - 2017/12

N2 - In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for brain stimulation. However, there are limitations and challenges with the current technologies. They include neuron population stimulation instead of single neuron level, the size, the biocompatibility, and the device lifetime reliability in the patient’s brain. We have recently proposed the concept of wireless optogenetic nanonetworking devices (WiOptND) that could address the problem of long term deployment, and at the same time target single neuron stimulation utilizing ultrasonic as a mode for energy harvesting. Additionally, a number of charging protocols are also proposed, in order to minimize the quantity of energy required for charging, while ensuring minimum number of neural spike misfirings. These protocols include the simple Charge and Fire, which requires the full knowledge of the raster plots of neuron firing patterns, and the Predictive Sliding Detection Window, and its variant Markov-Chain based Time-Delay Patterns, which minimizes the need for full knowledge of neural spiking patterns as well as number of ultrasound charging frequencies. Simulation results exhibit a drop for the stimulation ratio of ~25% and more stable trend in its efficiency ratio (standard deviation of ~0.5%) for the Markov-Chain based Time-Delay Patterns protocol compared to the baseline Change and Fire. The results show the feasibility of utilizing WiOptND for longterm implants in the brain, and a new direction towards precise stimulation of neurons in the cortical microcolumn of the brain cortex.

AB - In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for brain stimulation. However, there are limitations and challenges with the current technologies. They include neuron population stimulation instead of single neuron level, the size, the biocompatibility, and the device lifetime reliability in the patient’s brain. We have recently proposed the concept of wireless optogenetic nanonetworking devices (WiOptND) that could address the problem of long term deployment, and at the same time target single neuron stimulation utilizing ultrasonic as a mode for energy harvesting. Additionally, a number of charging protocols are also proposed, in order to minimize the quantity of energy required for charging, while ensuring minimum number of neural spike misfirings. These protocols include the simple Charge and Fire, which requires the full knowledge of the raster plots of neuron firing patterns, and the Predictive Sliding Detection Window, and its variant Markov-Chain based Time-Delay Patterns, which minimizes the need for full knowledge of neural spiking patterns as well as number of ultrasound charging frequencies. Simulation results exhibit a drop for the stimulation ratio of ~25% and more stable trend in its efficiency ratio (standard deviation of ~0.5%) for the Markov-Chain based Time-Delay Patterns protocol compared to the baseline Change and Fire. The results show the feasibility of utilizing WiOptND for longterm implants in the brain, and a new direction towards precise stimulation of neurons in the cortical microcolumn of the brain cortex.

KW - Nanobioscience

KW - Neurons

KW - Protocols

KW - Transceivers

KW - Ultrasonic imaging

KW - Wireless communication

U2 - 10.1109/TNB.2017.2781150

DO - 10.1109/TNB.2017.2781150

M3 - Article

VL - 16

SP - 859

EP - 872

JO - IEEE Transactions on Nanobioscience

JF - IEEE Transactions on Nanobioscience

SN - 1536-1241

IS - 8

ER -