Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Joseph G, Letner"'
Autor:
Julianna Richie, Joseph G. Letner, Autumn Mclane-Svoboda, Yu Huan, Dorsa Haji Ghaffari, Elena Della Valle, Paras R. Patel, Hillel J. Chiel, Galit Pelled, James D. Weiland, Cynthia A. Chestek
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 739-749 (2024)
Multielectrode arrays for interfacing with neurons are of great interest for a wide range of medical applications. However, current electrodes cause damage over time. Ultra small carbon fibers help to address issues but controlling the electrode site
Externí odkaz:
https://doaj.org/article/8bb8564d429f4c3098712f824e89bb90
Autor:
Dorsa Haji Ghaffari, Elena Della Valle, Paras R. Patel, Julianna Richie, Joseph G. Letner, Cynthia A. Chestek, James D. Weiland
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Autor:
Jongyup Lim, Jungho Lee, Eunseong Moon, Michael Barrow, Gabriele Atzeni, Joseph G. Letner, Joseph T. Costello, Samuel R. Nason, Paras R. Patel, Yi Sun, Parag G. Patil, Hun-Seok Kim, Cynthia A. Chestek, Jamie Phillips, David Blaauw, Dennis Sylvester, Taekwang Jang
Publikováno v:
IEEE J Solid-State Circuits
Miniaturized and wireless near-infrared (NIR) based neural recorders with optical powering and data telemetry have been introduced as a promising approach for safe long-term monitoring with the smallest physical dimension among state-of-the-art stand
Autor:
Joseph G. Letner, Paras R. Patel, Jung-Chien Hsieh, Israel M. Smith Flores, Elena della Valle, Logan A. Walker, James D. Weiland, Cynthia A. Chestek, Dawen Cai
SummaryCharacterizing the relationship between neuron spiking and the signals electrodes record is vital to defining the neural circuits driving brain function and informing computational modeling. However, electrode biocompatibility and precisely lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e636bd75ff291721154955846dc135
https://doi.org/10.1101/2022.10.07.511373
https://doi.org/10.1101/2022.10.07.511373
Autor:
Joseph G Letner, Paras R Patel, Jung-Chien Hsieh, Israel M Smith Flores, Elena della Valle, Logan A Walker, James D Weiland, Cynthia A Chestek, Dawen Cai
Publikováno v:
Journal of Neural Engineering. 20:026019
Objective. Characterizing the relationship between neuron spiking and the signals that electrodes record is vital to defining the neural circuits driving brain function and informing clinical brain-machine interface design. However, high electrode bi
Autor:
Paras R Patel, Elissa J Welle, Joseph G Letner, Hao Shen, Autumn J Bullard, Ciara M Caldwell, Alexis Vega-Medina, Julianna M Richie, Hope E Thayer, Parag G Patil, Dawen Cai, Cynthia A Chestek
Publikováno v:
Journal of Neural Engineering. 20:014001
Objective. The Utah array is widely used in both clinical studies and neuroscience. It has a strong track record of safety. However, it is also known that implanted electrodes promote the formation of scar tissue in the immediate vicinity of the elec
Publikováno v:
International review of neurobiology. 159
One of the most exciting advances to emerge in neural interface technologies has been the development of real-time brain-machine interface (BMI) neuroprosthetic devices to restore upper extremity function. BMI neuroprostheses, made possible by synerg
Autor:
David Blaauw, Michael Barrow, Paras R. Patel, Hun-Seok Kim, Samuel R. Nason, Jamie Phillips, Taekwang Jang, Jongyup Lim, Joseph G Letner, Parag G. Patil, Gabriele Atzeni, Joseph T. Costello, Eunseong Moon, Dennis Sylvester, Jungho Lee, Cynthia A. Chestek
Publikováno v:
VLSI Circuits
Symp VLSI Circuits
Symp VLSI Circuits
A key challenge for near-infrared (NIR) powered neural recording ICs is to maintain robust operation in the presence of parasitic short circuit current from junction diodes when exposed to light. This is especially so when intentional currents are ke
Publikováno v:
International Review of Neurobiology ISBN: 9780128222980
One of the most exciting advances to emerge in neural interface technologies has been the development of real-time brain-machine interface (BMI) neuroprosthetic devices to restore upper extremity function. BMI neuroprostheses, made possible by synerg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60d95da0d39e6745788025065eefcfa7
https://doi.org/10.1016/bs.irn.2021.06.001
https://doi.org/10.1016/bs.irn.2021.06.001
Autor:
Patel, Paras R, Welle, Elissa J, Letner, Joseph G, Shen, Hao, Bullard, Autumn J, Caldwell, Ciara M, Vega-Medina, Alexis, Richie, Julianna M, Thayer, Hope E, Patil, Parag G, Cai, Dawen, Chestek, Cynthia A
Publikováno v:
Journal of Neural Engineering; Feb2023, Vol. 20 Issue 1, p1-11, 11p