Jonathan Viventi
Assistant Professor in the Department of Biomedical Engineering
Dr. Viventi’s research uses flexible electronics to create new technology for interfacing with the brain at high resolution over large areas. These new tools can help diagnose and treat neurological disorders such as epilepsy, and help improve the performance of brain machine interfaces.
Current Research Interests
Using flexible electronics to create new technology for interfacing with the brain at high resolution over large areas. These new tools can help diagnose and treat neurological disorders such as epilepsy, and help improve the performance of brain machine interfaces.
Current Appointments & Affiliations
- Assistant Professor in the Department of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2015
- Assistant Professor in Neurosurgery, Neurosurgery, Neurosurgery 2021
- Assistant Professor of Neurobiology, Neurobiology, Basic Science Departments 2021
- Faculty Network Member of the Duke Institute for Brain Sciences, Duke Institute for Brain Sciences, University Institutes and Centers 2017
Contact Information
- 1149 CIEMAS, Durham, NC 27708
- 1149 CIEMAS, Durham, NC 27708
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j.viventi@duke.edu
(917) 727-2464
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Google Scholar
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Lab Website
- Background
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Education, Training, & Certifications
- Ph.D., University of Pennsylvania 2010
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Previous Appointments & Affiliations
- Adjunct Assistant Professor in the Department of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2014
- Recognition
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In the News
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NOV 1, 2016 Pratt School of Engineering -
MAR 6, 2015 OZY -
OCT 7, 2014 Popular Science -
SEP 26, 2014 Duke University Pratt School of Engineering
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Awards & Honors
- Research
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Selected Grants
- A Wireless µECoG Prosthesis for Speech awarded by National Institutes of Health 2021 - 2026
- Neuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural Interfaces awarded by National Institutes of Health 2021 - 2025
- NINDS Research Education Programs for Residents and Fellows in Neurosurgery awarded by National Institutes of Health 2009 - 2025
- Neurobiology Training Program awarded by National Institutes of Health 2019 - 2024
- Next-Generation Wireless Intracranial Electrode Arrays for Post-traumatic Epilepsy awarded by United States Army Medical Research Acquisition Activity 2021 - 2024
- CAREER: Resolving action potentials and high-density neural signals from the surface of the brain awarded by National Science Foundation 2018 - 2023
- Advancing Epilepsy Diagnosis with Flexible, High-Resolution Thin-Film Electrodes awarded by NYU Langone Medical Center 2022 - 2023
- Analysis and Design of µECoG Array Characteristics for Optimized Signal Acquisition awarded by National Institutes of Health 2020 - 2022
- REU Site for Meeting the Grand Challenges in Engineering awarded by National Science Foundation 2017 - 2022
- BISC: Bioelectronic Interface to Sensory Cortex with massive, fully implanted, flexible, wireless CMOS surface recording and stimulating arrays awarded by Columbia University 2017 - 2021
- High resolution awake cortical recordings to analyze the role of spreading depolarizations during dynamic stroke evolution awarded by National Institutes of Health 2019 - 2021
- Neural Sensing from the DRG and Spinal Cord awarded by St. Jude Medical Inc. 2018 - 2020
- Optimizing flexible, active electrode arrays for chronic, large-scale recording and stimulation on the scale of 100,000 electrodes awarded by National Institutes of Health 2016 - 2020
- CIF:Medium:Collaborative Research:Scalable Learning of Nonlinear Models in Large Neural Populations awarded by National Science Foundation 2016 - 2020
- An Implantable and High-Density, Multiplexed Micro-ECoG System awarded by Micro-Leads, Inc. 2017 - 2019
- Basic predoctoral training in neuroscience awarded by National Institutes of Health 1992 - 2018
- CIF:Small: High Resolution EEG Signal Analysis for Seizure Detection and Treatment awarded by New York University 2015 - 2018
- The spatiotemporal resolution of cognitive signals revealed through high-density Micro-ECoG awarded by University of Pennsylvania 2015 - 2018
- High Density Capacitive Neural Interfaces Using Active Conformal Electronics (HDC) awarded by MC10, Inc. 2015
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External Relationships
- NP Complete Performance LLC
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Witham, Nicholas S., Christopher F. Reiche, Thomas Odell, Katrina Barth, Chia-Han Chiang, Charles Wang, Agrita Dubey, et al. “Flexural bending to approximate cortical forces exerted by electrocorticography (ECoG) arrays.” Journal of Neural Engineering 19, no. 4 (August 2022). https://doi.org/10.1088/1741-2552/ac8452.Full Text
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Aras, Kedar, Anna Gams, Ndeye Rokhaya Faye, Jaclyn Brennan, Katherine Goldrick, Jinghua Li, Yishan Zhong, et al. “Electrophysiology and Arrhythmogenesis in the Human Right Ventricular Outflow Tract.” Circulation. Arrhythmia and Electrophysiology 15, no. 3 (March 2022): e010630. https://doi.org/10.1161/circep.121.010630.Full Text
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Rachinskiy, Iakov, Liane Wong, Chia-Han Chiang, Charles Wang, Michael Trumpis, John I. Ogren, Zhe Hu, Bryan McLaughlin, and Jonathan Viventi. “High-Density, Actively Multiplexed μECoG Array on Reinforced Silicone Substrate.” Frontiers in Nanotechnology 4 (January 2022): 837328. https://doi.org/10.3389/fnano.2022.837328.Full Text
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Sun, James, Katrina Barth, Shaoyu Qiao, Chia-Han Chiang, Charles Wang, Shervin Rahimpour, Michael Trumpis, et al. “Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array.” Brain Commun 4, no. 3 (2022): fcac122. https://doi.org/10.1093/braincomms/fcac122.Full Text Open Access Copy Link to Item
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Chiang, Chia-Han, Charles Wang, Katrina Barth, Shervin Rahimpour, Michael Trumpis, Suseendrakumar Duraivel, Iakov Rachinskiy, et al. “Flexible, high-resolution thin-film electrodes for human and animal neural research.” J Neural Eng 18, no. 4 (June 17, 2021). https://doi.org/10.1088/1741-2552/ac02dc.Full Text Link to Item
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Trumpis, Michael, Chia-Han Chiang, Amy L. Orsborn, Brinnae Bent, Jinghua Li, John A. Rogers, Bijan Pesaran, Gregory Cogan, and Jonathan Viventi. “Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG.” J Neural Eng 18, no. 3 (March 8, 2021). https://doi.org/10.1088/1741-2552/abd460.Full Text Link to Item
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Chiang, Chia-Han, Jaejin Lee, Charles Wang, Ashley J. Williams, Timothy H. Lucas, Yale E. Cohen, and Jonathan Viventi. “A modular high-density μECoG system on macaque vlPFC for auditory cognitive decoding.” Journal of Neural Engineering 17, no. 4 (July 2020): 046008. https://doi.org/10.1088/1741-2552/ab9986.Full Text
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Chiang, Chia-Han, Sang Min Won, Amy L. Orsborn, Ki Jun Yu, Michael Trumpis, Brinnae Bent, Charles Wang, et al. “Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.” Science Translational Medicine 12, no. 538 (April 2020): eaay4682. https://doi.org/10.1126/scitranslmed.aay4682.Full Text
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Li, J., R. Li, C. H. Chiang, Y. Zhong, H. Shen, E. Song, M. Hill, et al. “Ultrathin, High Capacitance Capping Layers for Silicon Electronics with Conductive Interconnects in Flexible, Long-Lived Bioimplants.” Advanced Materials Technologies 5, no. 1 (January 1, 2020). https://doi.org/10.1002/admt.201900800.Full Text
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Song, Enming, Chia-Han Chiang, Rui Li, Xin Jin, Jianing Zhao, Mackenna Hill, Yu Xia, et al. “Flexible electronic/optoelectronic microsystems with scalable designs for chronic biointegration.” Proceedings of the National Academy of Sciences of the United States of America 116, no. 31 (July 2019): 15398–406. https://doi.org/10.1073/pnas.1907697116.Full Text
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Chiang, Chia-Han, and Jonathan Viventi. “Artefact-free wireless closed-loop device.” Nature Biomedical Engineering 3, no. 1 (January 2019): 3–4. https://doi.org/10.1038/s41551-018-0340-9.Full Text
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Woods, Virginia, Michael Trumpis, Brinnae Bent, Kay Palopoli-Trojani, Chia-Han Chiang, Charles Wang, Chunxiu Yu, Michele N. Insanally, Robert C. Froemke, and Jonathan Viventi. “Long-term recording reliability of liquid crystal polymer µECoG arrays.” Journal of Neural Engineering 15, no. 6 (December 2018): 066024. https://doi.org/10.1088/1741-2552/aae39d.Full Text
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Li, Jinghua, Enming Song, Chia-Han Chiang, Ki Jun Yu, Jahyun Koo, Haina Du, Yishan Zhong, et al. “Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology.” Proceedings of the National Academy of Sciences of the United States of America 115, no. 41 (October 2018): E9542–49. https://doi.org/10.1073/pnas.1813187115.Full Text
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Bent, Brinnae, Ashley J. Williams, Ryan Bolick, Chia-Han Chiang, Michael Trumpis, and Jonathan Viventi. “3D Printed Cranial Window System for Chronic μECoG Recording.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 4591–94. https://doi.org/10.1109/embc.2018.8513117.Full Text
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Kleinbart, Jessica E., Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, and Bijan Pesaran. “A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 3362–65. https://doi.org/10.1109/embc.2018.8512993.Full Text
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Williams, Ashley J., Michael Trumpis, Brinnae Bent, Chia-Han Chiang, and Jonathan Viventi. “A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 5057–60. https://doi.org/10.1109/embc.2018.8513432.Full Text
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Song, Yilin, Yao Wang, and Jonathan Viventi. “Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.” Ieee Transactions on Nanobioscience 16, no. 6 (September 2017): 418–27. https://doi.org/10.1109/tnb.2017.2714460.Full Text
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Trumpis, Michael, Michele Insanally, Jialin Zou, Ashraf Elsharif, Ali Ghomashchi, N. Sertac Artan, Robert C. Froemke, and Jonathan Viventi. “A low-cost, scalable, current-sensing digital headstage for high channel count μECoG.” Journal of Neural Engineering 14, no. 2 (April 2017): 026009. https://doi.org/10.1088/1741-2552/aa5a82.Full Text
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Song, Yilin, Jonathan Viventi, and Yao Wang. “Multi Resolution LSTM For Long Term Prediction In Neural Activity Video.” Corr abs/1705.02893 (2017).
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Fang, Hui, Ki Jun Yu, Christopher Gloschat, Zijian Yang, Chia-Han Chiang, Jianing Zhao, Sang Min Won, et al. “Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology.” Nature Biomedical Engineering 1 (January 2017): 0038. https://doi.org/10.1038/s41551-017-0038.Full Text
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Fang, Hui, Jianing Zhao, Ki Jun Yu, Enming Song, Amir Barati Farimani, Chia-Han Chiang, Xin Jin, et al. “Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems.” Proceedings of the National Academy of Sciences of the United States of America 113, no. 42 (October 2016): 11682–87. https://doi.org/10.1073/pnas.1605269113.Full Text
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Yu, Ki Jun, Duygu Kuzum, Suk-Won Hwang, Bong Hoon Kim, Halvor Juul, Nam Heon Kim, Sang Min Won, et al. “Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex.” Nature Materials 15, no. 7 (July 2016): 782–91. https://doi.org/10.1038/nmat4624.Full Text
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Insanally, Michele, Michael Trumpis, Charles Wang, Chia-Han Chiang, Virginia Woods, Kay Palopoli-Trojani, Silvia Bossi, Robert C. Froemke, and Jonathan Viventi. “A low-cost, multiplexed μECoG system for high-density recordings in freely moving rodents.” Journal of Neural Engineering 13, no. 2 (April 2016): 26030–26030. https://doi.org/10.1088/1741-2560/13/2/026030.Full Text
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Vanleer, Ann C., Justin A. Blanco, Joost B. Wagenaar, Jonathan Viventi, Diego Contreras, and Brian Litt. “Millimeter-scale epileptiform spike propagation patterns and their relationship to seizures.” Journal of Neural Engineering 13, no. 2 (April 2016): 026015. https://doi.org/10.1088/1741-2560/13/2/026015.Full Text
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Song, Yilin, Jonathan Viventi, and Yao Wang. “Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction.” Corr abs/1611.04899 (2016).
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Escabí, Monty A., Heather L. Read, Jonathan Viventi, Dae-Hyeong Kim, Nathan C. Higgins, Douglas A. Storace, Andrew S. K. Liu, et al. “A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings.” Journal of Neurophysiology 112, no. 6 (September 2014): 1566–83. https://doi.org/10.1152/jn.00179.2013.Full Text
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Campisi, Matthew S., Curtis Barbre, Aditya Chola, Gisselle Cunningham, Virginia Woods, and Jonathan Viventi. “Breast cancer detection using high-density flexible electrode arrays and electrical impedance tomography.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2014 (January 2014): 1131–34. https://doi.org/10.1109/embc.2014.6943794.Full Text
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Ghomashchi, A., Z. Zheng, N. Majaj, M. Trumpis, L. Kiorpes, and J. Viventi. “A low-cost, open-source, wireless electrophysiology system.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2014 (January 2014): 3138–41. https://doi.org/10.1109/embc.2014.6944288.Full Text
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Schubert, Thomas, Michael Trumpis, Nicole Rivilis, and Jonathan Viventi. “Cross-correlation based μECoG waveform tracking.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2014 (January 2014): 3264–67. https://doi.org/10.1109/embc.2014.6944319.Full Text
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Wang, JuiChih, Michael Trumpis, Michele Insanally, Robert Froemke, and Jonathan Viventi. “A low-cost, multiplexed electrophysiology system for chronic μECoG recordings in rodents.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2014 (January 2014): 5256–59. https://doi.org/10.1109/embc.2014.6944811.Full Text
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Ritaccio, Anthony, Michael Beauchamp, Conrado Bosman, Peter Brunner, Edward Chang, Nathan Crone, Aysegul Gunduz, et al. “Proceedings of the Third International Workshop on Advances in Electrocorticography.” Epilepsy & Behavior : E&B 25, no. 4 (December 2012): 605–13. https://doi.org/10.1016/j.yebeh.2012.09.016.Full Text
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Ritaccio, Anthony, Dana Boatman-Reich, Peter Brunner, Mackenzie C. Cervenka, Andrew J. Cole, Nathan Crone, Robert Duckrow, et al. “Proceedings of the Second International Workshop on Advances in Electrocorticography.” Epilepsy & Behavior : E&B 22, no. 4 (December 2011): 641–50. https://doi.org/10.1016/j.yebeh.2011.09.028.Full Text
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Viventi, Jonathan, Dae-Hyeong Kim, Leif Vigeland, Eric S. Frechette, Justin A. Blanco, Yun-Soung Kim, Andrew E. Avrin, et al. “Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo.” Nature Neuroscience 14, no. 12 (November 2011): 1599–1605. https://doi.org/10.1038/nn.2973.Full Text
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Blanco, Justin A., Matt Stead, Abba Krieger, William Stacey, Douglas Maus, Eric Marsh, Jonathan Viventi, et al. “Data mining neocortical high-frequency oscillations in epilepsy and controls.” Brain : A Journal of Neurology 134, no. Pt 10 (October 2011): 2948–59. https://doi.org/10.1093/brain/awr212.Full Text
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Kim, Dae-Hyeong, Nanshu Lu, Roozbeh Ghaffari, Yun-Soung Kim, Stephen P. Lee, Lizhi Xu, Jian Wu, et al. “Materials for multifunctional balloon catheters with capabilities in cardiac electrophysiological mapping and ablation therapy.” Nature Materials 10, no. 4 (April 2011): 316–23. https://doi.org/10.1038/nmat2971.Full Text
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Blanco, Justin A., Matt Stead, Abba Krieger, Jonathan Viventi, W Richard Marsh, Kendall H. Lee, Gregory A. Worrell, and Brian Litt. “Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients.” Journal of Neurophysiology 104, no. 5 (November 2010): 2900–2912. https://doi.org/10.1152/jn.01082.2009.Full Text
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Kim, Dae-Hyeong, Jonathan Viventi, Jason J. Amsden, Jianliang Xiao, Leif Vigeland, Yun-Soung Kim, Justin A. Blanco, et al. “Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics.” Nature Materials 9, no. 6 (June 2010): 511–17. https://doi.org/10.1038/nmat2745.Full Text
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Viventi, Jonathan, Dae-Hyeong Kim, Joshua D. Moss, Yun-Soung Kim, Justin A. Blanco, Nicholas Annetta, Andrew Hicks, et al. “A conformal, bio-interfaced class of silicon electronics for mapping cardiac electrophysiology.” Science Translational Medicine 2, no. 24 (March 2010): 24ra22. https://doi.org/10.1126/scitranslmed.3000738.Full Text
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Conference Papers
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Bent, B., C. H. Chiang, C. Wang, N. Lad, A. Kent, and J. Viventi. “Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation.” In International Ieee/Embs Conference on Neural Engineering, Ner, 2019-March:694–97, 2019. https://doi.org/10.1109/NER.2019.8717053.Full Text
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Wang, R., Y. Song, Y. Wang, and J. Viventi. “Long-term prediction of μeCOG signals with a spatio-temporal pyramid of adversarial convolutional networks.” In Proceedings International Symposium on Biomedical Imaging, 2018-April:1313–17, 2018. https://doi.org/10.1109/ISBI.2018.8363813.Full Text
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Palopoli-Trojani, Kay, Virginia Woods, Virginia Chia-Han Chiang, Michael Trumpis, and Jonathan Viventi. “In vitro assessment of long-term reliability of low-cost μECoG arrays.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2016:4503–6, 2016. https://doi.org/10.1109/embc.2016.7591728.Full Text
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Song, Y., J. Viventi, and Y. Wang. “Seizure detection and prediction through clustering and temporal analysis of micro electrocorticographic data.” In 2015 Ieee Signal Processing in Medicine and Biology Symposium Proceedings, 2016. https://doi.org/10.1109/SPMB.2015.7405420.Full Text
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Fletcher, A. K., J. Viventi, and S. Rangan. “Neural mass spatio-temporal modeling from high-density electrode array recordings.” In 2015 Information Theory and Applications Workshop, Ita 2015 Conference Proceedings, 319–21, 2015. https://doi.org/10.1109/ITA.2015.7309007.Full Text
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Orsborn, A. L., C. Wang, K. Chiang, M. M. Maharbiz, J. Viventi, and B. Pesaran. “Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings.” In International Ieee/Embs Conference on Neural Engineering, Ner, 2015-July:398–401, 2015. https://doi.org/10.1109/NER.2015.7146643.Full Text
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Woods, V., C. Wang, S. Bossi, M. Insanally, M. Trumpis, R. Froemke, and J. Viventi. “A low-cost, 61-channel μeCoG array for use in rodents.” In International Ieee/Embs Conference on Neural Engineering, Ner, 2015-July:573–76, 2015. https://doi.org/10.1109/NER.2015.7146687.Full Text
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Ha, S., J. Park, Y. M. Chi, J. Viventi, J. Rogers, and G. Cauwenberghs. “85 dB dynamic range 1.2 mW 156 kS/s biopotential recording IC for high-density ECoG flexible active electrode array.” In European Solid State Circuits Conference, 141–44, 2013. https://doi.org/10.1109/ESSCIRC.2013.6649092.Full Text
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Bink, H., J. B. Wagenaar, and J. Viventi. “Data acquisition system for high resolution, multiplexed electrode arrays.” In International Ieee/Embs Conference on Neural Engineering, Ner, 1001–4, 2013. https://doi.org/10.1109/NER.2013.6696105.Full Text
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Akyildiz, B., Y. Song, J. Viventi, and Y. Wang. “Improved clustering of spike patterns through video segmentation and motion analysis of micro electrocorticographic data.” In 2013 Ieee Signal Processing in Medicine and Biology Symposium, Spmb 2013, 2013. https://doi.org/10.1109/SPMB.2013.6736774.Full Text
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Kim, Taehoon, N Sertac Artan, Jonathan Viventi, and H Jonathan Chao. “Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2012:1012–15, 2012. https://doi.org/10.1109/embc.2012.6346105.Full Text
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Viventi, Jonathan, and Justin A. Blanco. “Development of high resolution, multiplexed electrode arrays: Opportunities and challenges.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2012:1394–96, 2012. https://doi.org/10.1109/embc.2012.6346199.Full Text
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Kim, D. H., J. A. Rogers, J. Viventi, and B. Litt. “Flexible biomedical devices for mapping cardiac and neural electrophysiology.” In Ieee International Reliability Physics Symposium Proceedings, 2011. https://doi.org/10.1109/IRPS.2011.5784461.Full Text
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Bink, Hank, Yuming Lai, Sangameshwar R. Saudari, Brian Helfer, Jonathan Viventi, Jan Van der Spiegel, Brian Litt, and Cherie Kagan. “Flexible organic electronics for use in neural sensing.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2011:5400–5403, 2011. https://doi.org/10.1109/iembs.2011.6091335.Full Text
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Chamberlain, Ann C., Jonathan Viventi, Justin A. Blanco, Dae-Hyeong Kim, John A. Rogers, and Brian Litt. “Millimeter-scale epileptiform spike patterns and their relationship to seizures.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2011:761–64, 2011. https://doi.org/10.1109/iembs.2011.6090174.Full Text
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Viventi, Jonathan, Justin Blanco, and Brian Litt. “Mining terabytes of submillimeter-resolution ECoG datasets for neurophysiologic biomarkers.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2010:3825–26, 2010. https://doi.org/10.1109/iembs.2010.5627681.Full Text
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- Teaching & Mentoring
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Recent Courses
- BME 505L: Biopotential Amplifiers and Implant Devices (GE, EL, IM) 2022
- BME 791: Graduate Independent Study 2022
- BME 354L: Introduction to Medical Instrumentation 2021
- BME 791: Graduate Independent Study 2021
- NEUROBIO 393: Research Independent Study 2021
- NEUROBIO 793: Research in Neurobiology 2021
- BME 354L: Introduction to Medical Instrumentation 2020
- BME 493: Projects in Biomedical Engineering (GE) 2020
- BME 590L: Special Topics with Lab 2020
- BME 791: Graduate Independent Study 2020
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