Michael Trumpis
Michael Trumpis
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex
KJ Yu, D Kuzum, SW Hwang, BH Kim, H Juul, NH Kim, SM Won, K Chiang, ...
Nature materials 15 (7), 782-791, 2016
2432016
Capacitively coupled arrays of multiplexed flexible silicon transistors for long-term cardiac electrophysiology
H Fang, KJ Yu, C Gloschat, Z Yang, E Song, CH Chiang, J Zhao, SM Won, ...
Nature biomedical engineering 1 (3), 1-12, 2017
1492017
MEG/EEG source reconstruction, statistical evaluation, and visualization with NUTMEG
SS Dalal, JM Zumer, AG Guggisberg, M Trumpis, DDE Wong, K Sekihara, ...
Computational intelligence and neuroscience 2011, 2011
962011
The use of QSD (q-sequence deconvolution) to recover superposed, transient evoked-responses
DL Jewett, G Caplovitz, B Baird, M Trumpis, MP Olson, LJ Larson-Prior
Clinical Neurophysiology 115 (12), 2754-2775, 2004
562004
Long-term recording reliability of liquid crystal polymer µECoG arrays
V Woods, M Trumpis, B Bent, K Palopoli-Trojani, CH Chiang, C Wang, ...
Journal of neural engineering 15 (6), 066024, 2018
262018
A low-cost, multiplexed μECoG system for high-density recordings in freely moving rodents
M Insanally, M Trumpis, C Wang, CH Chiang, V Woods, ...
Journal of neural engineering 13 (2), 026030, 2016
262016
Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates
CH Chiang, SM Won, AL Orsborn, KJ Yu, M Trumpis, B Bent, C Wang, ...
Science Translational Medicine 12 (538), 2020
212020
A low-cost, multiplexed electrophysiology system for chronic μECoG recordings in rodents
JC Wang, M Trumpis, M Insanally, R Froemke, J Viventi
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
142014
A low-cost, open-source, wireless electrophysiology system
A Ghomashchi, Z Zheng, N Majaj, M Trumpis, L Kiorpes, J Viventi
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
142014
A low-cost, scalable, current-sensing digital headstage for high channel count μECoG
M Trumpis, M Insanally, J Zou, A Elsharif, A Ghomashchi, NS Artan, ...
Journal of neural engineering 14 (2), 026009, 2017
122017
Human sensory-evoked responses differ coincident with either" fusion-memory" or" flash-memory", as shown by stimulus repetition-rate effects
DL Jewett, T Hart, LJ Larson-Prior, B Baird, M Olson, M Trumpis, ...
BMC neuroscience 7 (1), 18, 2006
112006
In vitro assessment of long-term reliability of low-cost μΕCoG arrays
K Palopoli-Trojani, V Woods, CH Chiang, M Trumpis, J Viventi
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual …, 2016
102016
A low-cost, 61-channel µECoG array for use in rodents
V Woods, C Wang, S Bossi, M Insanally, M Trumpis, R Froemke, J Viventi
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on …, 2015
92015
Low-Rank Nonlinear Decoding of -ECoG from the Primary Auditory Cortex
M Emami, M Sahraee-Ardakan, P Pandit, AK Fletcher, S Rangan, ...
arXiv preprint arXiv:2005.05053, 2020
12020
Cross-correlation based μECoG waveform tracking
T Schubert, M Trumpis, N Rivilis, J Viventi
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
12014
Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG
M Trumpis, CH Chiang, AL Orsborn, B Bent, J Li, JA Rogers, B Pesaran, ...
Journal of Neural Engineering, 2020
2020
A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals
AJ Williams, M Trumpis, B Bent, CH Chiang, J Viventi
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
2018
3D Printed Cranial Window System for Chronic μECoG Recording
B Bent, AJ Williams, R Bolick, CH Chiang, M Trumpis, J Viventi
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
2018
Quantifying High Dimensional Recordings of Neural Surface Potentials
M Trumpis
Duke University, 2018
2018
Learning Nonlinear Dynamical Networks in Neural Systems
MS Ardakan, M Emami, AK Fletcher, M Trumpis, B Bent, J Viventi
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Articles 1–20