Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., University of Pennsylvania 2010
• 

  Duke Appointment History

  • Adjunct Assistant Professor in the Department of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2014
• Recognition
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  In the News

  • NOV 1, 2016

    Pratt School of Engineering

    Supplying Neuroscience Laboratories with Tomorrow’s Brain Interfaces

  • MAR 6, 2015

    OZY

    Jonathan Viventi profiled: The brain implants are coming!

  • OCT 7, 2014

    Popular Science

    The Brilliant 10: Jonathan Viventi Builds Devices That Decode Thoughts

  • SEP 26, 2014

    Duke University Pratt School of Engineering

    Jonathan Viventi: Engineering HD Brain Interfaces
• 

  Awards & Honors

  • MIT Technology Review Innovators Under 35 List. MIT Technology Review. 2014
  • Popular Science Brilliant 10. Popular Science. 2014
• Research
• 

  Selected Grants

  • 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
  • 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
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • 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.
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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.
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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 10, 2020): 046008. https://doi.org/10.1088/1741-2552/ab9986.
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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). https://doi.org/10.1126/scitranslmed.aay4682.
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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.
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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 15, 2019): 15398–406. https://doi.org/10.1073/pnas.1907697116.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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). https://doi.org/10.1038/s41551-017-0038.
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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).
    • 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.
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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.
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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.
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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.
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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).
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 13, 2011): 1599–1605. https://doi.org/10.1038/nn.2973.
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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.
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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.
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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.
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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.
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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.
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  • Conference Papers

    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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• Teaching & Mentoring
• 

  Recent Courses

  • 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
  • BME 354L: Introduction to Medical Instrumentation 2019
  • BME 493: Projects in Biomedical Engineering (GE) 2019
  • BME 590L: Special Topics with Lab 2019
  • BME 791: Graduate Independent Study 2019

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