Toward true closed-loop neuromodulation: artifact-free recording during stimulation.
Open accessAbstract
Closed-loop and responsive neuromodulation systems improve open-loop neurostimulation by responding directly to measured neural activity and providing adaptive, on-demand therapy. To be effective, these systems must be able to simultaneously record and stimulate neural activity, a task made difficult by persistent stimulation artifacts that distort and obscure underlying biomarkers. To enable simultaneous stimulation and recording, several techniques have been proposed. These techniques involve artifact-preventing system configurations, resilient recording front-ends, and back-end signal processing for removing recorded artifacts. Co-designing and integrating these artifact cancellation techniques will be key to enabling neuromodulation systems to stimulate and record at the same time. Here, we review the state-of-the-art for these techniques and their role in achieving artifact-free neuromodulation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Different signal processing techniques and electronic front-end designs can be used to retrieve signals from stimulation artifacts.
“Different signal processing techniques and electronic front-end designs can be used to retrieve the signals from stimulation artifacts (Wagenaar and Potter, 2002; Zhou et al., 2018)”
From Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges (2022) · cites this paper as Zhou et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Electrical stimulation of excitable tissue: design of efficacious and safe protocols
Merrill, D. R., Bikson, M., & Jefferys, J. G. R. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.10.020 · Cited by 2,078 · see citing works
A low-power low-noise cmos for amplifier neural recording applications
Harrison, R. R., & Charles, C. (2003) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.811979 · Cited by 1,695 · see citing works
Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson's disease
Benabid, A. L., Chabardes, S., Mitrofanis, J., & Pollak, P. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70291-6 · Cited by 1,285 · see citing works
Deep Brain Stimulation for Parkinson Disease
Bronstein, J. M., Tagliati, M., Alterman, R. L., Lozano, A. M., Volkmann, J., Stefani, A., Horak, F. B., Okun, M. S., Foote, K. D., Krack, P., et al. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.260 · Cited by 970 · see citing works
Closed-Loop Deep Brain Stimulation Is Superior in Ameliorating Parkinsonism
Rosin, B., Slovik, M., Mitelman, R., Rivlin-Etzion, M., Haber, S. N., Israel, Z., Vaadia, E., & Bergman, H. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.023 · Cited by 793 · see citing works
A low-power integrated circuit for a wireless 100-electrode neural recording system.
Harrison, R. R., Watkins, P. T., Kier, R. J., Lovejoy, R. O., Black, D. J., Greger, B., & Solzbacher, F. (2007) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.886567 · Cited by 782 · see citing works
A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System
Harrison, R. R., Watkins, P., Kier, R. J., Lovejoy, R. O., Black, D., Normann, R. A., & Solzbacher, F. (2006) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2006.1696288 · Cited by 731 · see citing works
A Minimally Invasive 64-Channel Wireless μECoG Implant
Muller, R., Le, H., Li, W., Ledochowitsch, P., Gambini, S., Björninen, T., Koralek, A. C., Carmena, J. M., Maharbiz, M. M., Alon, E., et al. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2364824 · Cited by 372 · see citing works
Muller, R., Gambini, S., & Rabaey, J. M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2163552 · Cited by 338 · see citing works
Self-citationStanslaski, S. R., Afshar, P., Cong, P., Giftakis, J., Stypulkowski, P. H., Carlson, D., Linde, D., Ullestad, D., Avestruz, A.-T., & Denison, T. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2183617 · Cited by 330 · see citing works
Responsive Cortical Stimulation for the Treatment of Epilepsy
Sun, F. T., Morrell, M. J., & Wharen, R. E. (2008) · Neurotherapeutics · doi:10.1016/j.nurt.2007.10.069 · Cited by 310 · see citing works
Effective parameters for stimulation of dissociated cultures using multi-electrode arrays
Wagenaar, D. A., Pine, J., & Potter, S. M. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.03.005 · Cited by 300 · see citing works
Design of Ultra-Low Power Biopotential Amplifiers for Biosignal Acquisition Applications
Zhang, F., Holleman, J. H., & Otis, B. P. (2012) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2177089 · Cited by 237 · see citing works
Real-time multi-channel stimulus artifact suppression by local curve fitting
Wagenaar, D. A., & Potter, S. M. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00149-8 · Cited by 224 · see citing works
Noorsal, E., Sooksood, K., Xu, H., Hornig, R., Becker, J., & Ortmanns, M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2164667 · Cited by 212 · see citing works
A system for MEA-based multisite stimulation
Jimbo, Y., Kasai, N., Torimitsu, K., Tateno, T., & Robinson, H. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.805470 · Cited by 202 · see citing works
A template subtraction method for stimulus artifact removal in high-frequency deep brain stimulation
Hashimoto, T., Elder, C. M., & Vitek, J. L. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00491-5 · Cited by 195 · see citing works
OlssonIII, R. H., Buhl, D. L., Sirota, A. M., Buzsaki, G., & Wise, K. D. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.847540 · Cited by 181 · see citing works
Sit, J.-J., & Sarpeshkar, R. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.911631 · Cited by 155 · see citing works
2016 IEEE International Solid-State Circuits Conference (ISSCC)
(2016) · doi:10.1109/isscc15168.2016 · Cited by 140 · see citing works
A 0.013mm2 5μW DC-coupled neural signal acquisition IC with 0.5V supply
Muller, R., Gambini, S., & Rabaey, J. M. (2011) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2011.5746328 · Cited by 138 · see citing works
A novel stimulus artifact removal technique for high-rate electrical stimulation
Heffer, L. F., & Fallon, J. B. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.01.023 · Cited by 121 · see citing works
Johnson, B. C., Gambini, S., Izyumin, I., Moin, A., Zhou, A., Alexandrov, G., Santacruz, S. R., Rabaey, J. M., Carmena, J. M., & Muller, R. (2017) · 2017 Symposium on VLSI Circuits · doi:10.23919/vlsic.2017.8008543 · Cited by 119 · see citing works
320-Channel Active Probe for High-Resolution Neuromonitoring and Responsive Neurostimulation
Shulyzki, R., Abdelhalim, K., Bagheri, A., Salam, M. T., Florez, C. M., Velázquez, J. L. P., Carlen, P. L., & Genov, R. (2014) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2312552 · Cited by 106 · see citing works
Rhew, H.-G., Jeong, J., Fredenburg, J. A., Dodani, S., Patil, P. G., & Flynn, M. P. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2346779 · Cited by 104 · see citing works
A system for neural recording and closed-loop intracortical microstimulation in awake rodents.
Venkatraman, S., Elkabany, K., Long, J. D., Yao, Y., & Carmena, J. M. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2005944 · Cited by 96 · see citing works
Stimulus-artifact elimination in a multi-electrode system.
Brown, E. A., Ross, J. D., Blum, R. A., Nam, Y., Wheeler, B. C., & DeWeerth, S. P. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.918285 · Cited by 95 · see citing works
2009 2nd International Congress on Image and Signal Processing
(2009) · doi:10.1109/cisp15494.2009 · Cited by 90 · see citing works
Mendrela, A. E., Cho, J., Fredenburg, J. A., Nagaraj, V., Netoff, T. I., Flynn, M. P., & Yoon, E. (2016) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2015.2506651 · Cited by 89 · see citing works
Rolston, J. D. (2009) · Frontiers in Neuroengineering · doi:10.3389/neuro.16.012.2009 · Cited by 86 · see citing works
An EEMD-ICA Approach to Enhancing Artifact Rejection for Noisy Multivariate Neural Data
Zeng, K., Chen, D., Ouyang, G., Wang, L., Liu, X., & Xiaoli Li, A. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2015.2496334 · Cited by 85 · see citing works
Single-chip microelectronic system to interface with living cells
Heer, F., Hafizovic, S., Ugniwenko, T., Frey, U., Franks, W., Perriard, E. R., Perriard, J., Blau, A. W., Ziegler, C., & Hierlemann, A. R. (2006) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2006.10.003 · Cited by 83 · see citing works
An Orthogonal Current-Reuse Amplifier for Multi-Channel Sensing
Johnson, B., & Molnar, A. (2013) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2257478 · Cited by 80 · see citing works
Self-citationGeneralized framework for stimulus artifact removal.
Erez, Y., Tischler, H., Moran, A., & Bar-Gad, I. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.06.005 · Cited by 79 · see citing works
An integrated system for simultaneous, multichannel neuronal stimulation and recording.
Blum, R. A., Ross, J. D., Brown, E. A., & DeWeerth, S. P. (2007) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2007.906071 · Cited by 74 · see citing works
Deep Brain Stimulation for Parkinson Disease
Kogan, M., McGuire, M. J., & Riley, J. P. (2019) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2019.01.001 · Cited by 69 · see citing works
Hottowy, P., Skoczeń, A., Gunning, D. E., Kachiguine, S., Mathieson, K., Sher, A., Wiącek, P., Litke, A. M., & Dąbrowski, W. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/6/066005 · Cited by 67 · see citing works
Hartmann, C., Dosen, S., Amsuess, S., & Farina, D. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2357175 · Cited by 64 · see citing works
A Method for Removal of Deep Brain Stimulation Artifact From Local Field Potentials
Qian, X., Chen, Y., Feng, Y., Ma, B., Hao, H., & Li, L. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2613412 · Cited by 52 · see citing works
Kassiri, H., Pazhouhandeh, M. R., Soltani, N., Salam, M. T., Carlen, P. L., Perez-Velazquez, J. L., & Genov, R. (2017) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2017.7870456 · Cited by 51 · see citing works
Montgomery, E. B., Gale, J. T., & He, H. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.10.017 · Cited by 48 · see citing works
Stimulation artifact correction method for estimation of early cortico-cortical evoked potentials
Trébaul, L., Rudrauf, D., Job-Chapron, A.-S., Mălîia, M. D., Popa, I., Barborică, A., Minotti, L., Mı̂ndruță, I., Kahane, P., & Olivier David, A. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.03.002 · Cited by 47 · see citing works
2009 IEEE Biomedical Circuits and Systems Conference
(2009) · doi:10.1109/biocas15685.2009 · Cited by 44 · see citing works
Bahmer, A., Peter, O., & Baumann, U. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.06.008 · Cited by 42 · see citing works
Al-ani, T., Cazettes, F., Palfi, S., & Lefaucheur, J. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.03.022 · Cited by 40 · see citing works
Wang, C., Brunton, E., Haghgooie, S., Cassells, K., Lowery, A. J., & Rajan, R. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046010 · Cited by 39 · see citing works
Smith, W. A., Uehlin, J. P., Perlmutter, S. I., Rudell, J. C., & Sathe, V. (2017) · Symposium on VLSI Circuits · doi:10.23919/vlsic.2017.8008470 · Cited by 39 · see citing works
Real-Time Stimulus Artifact Rejection Via Template Subtraction
Limnuson, K., Lu, H., Chiel, H. J., & Mohseni, P. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2274574 · Cited by 36 · see citing works
Sun, L., & Hinrichs, H. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.03.020 · Cited by 36 · see citing works
Stimulus-resistant neural recording amplifier
DeMichele, G. A., & Troyk, P. R. (2004) · doi:10.1109/iembs.2003.1280857 · Cited by 28 · see citing works
Deep Brain Stimulation Artifact Removal Through Under-Sampling and Cubic-Spline Interpolation
Waddell, C., Pratt, J. A., Porr, B., & Ewing, S. G. (2009) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp.2009.5301199 · Cited by 26 · see citing works
Enabling closed-loop neurostimulation research with downloadable firmware upgrades
Khanna, P., Stanslaski, S. R., Xiao, Y., Ahrens, T., Bourget, D., Swann, N. C., Starr, P. A., Carmena, J. M., & Denison, T. (2015) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2015.7348348 · Cited by 24 · see citing works
Lu, Y., Cao, P., Sun, J., Wang, J., Li, L., Ren, Q., Chen, Y., & Chai, X. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026002 · Cited by 21 · see citing works
A novel device to suppress electrical stimulus artifacts in electrophysiological experiments
Wichmann, T., & Devergnas, A. D. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.06.026 · Cited by 21 · see citing works
Models of stimulation artifacts applied to integrated circuit design
Blum, R. A., Ross, J. D., Das, S. K., Brown, E. A., & DeWeerth, S. P. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404137 · Cited by 21 · see citing works
Cheng, C.-H., Tsai, P.-Y., Yang, T.-Y., Cheng, W.-H., Yen, T.-Y., Luo, Z., Qian, X.-H., Chen, Z., Lin, T.-H., Chen, W., et al. (2017) · Symposium on VLSI Circuits · doi:10.23919/vlsic.2017.8008541 · Cited by 21 · see citing works
Sensing of stimulus artifact suppressed signals from electrode interfaces.
Nag, S., Sikdar, S. K., Thakor, N. V., Rao, V. R., & Sharma, D. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2399248 · Cited by 20 · see citing works
Detection and removal of stimulation artifacts in electroencephalogram recordings
Hoffmann, U., Cho, W., Ramos‐Murguialday, A., & Keller, T. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091809 · Cited by 20 · see citing works
A high-voltage compliant, electrode-invariant neural stimulator front-end in 65nm bulk-CMOS
Pepin, E., Uehlin, J. P., Micheletti, D., Perlmutter, S. I., & Rudell, J. C. (2016) · European Solid-State Circuits Conference (ESSCIRC) · doi:10.1109/esscirc.2016.7598284 · Cited by 19 · see citing works
Basir-Kazeruni, S., Vlaski, S., Salami, H., Sayed, A. H., & Markovic, D. M. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008322 · Cited by 18 · see citing works
Kassiri, H., Pazhouhandeh, M. R., Soltani, N., Salam, M. T., Peter, C., Luiz, P. V. J., & Roman, G. (2017) · IEEE Conference Proceedings · Cited by 18 · see citing works
2016 Symposium on VLSI Circuits
(2016) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2016.2518365 · Cited by 17 · see citing works
2048 action potential recording channels with 2.4 μVrms noise and stimulation artifact suppression
Viswam, V., Chen, Y., Shadmani, A., Dragas, J., Bounik, R., Radivojević, M., Müller, J., & Hierlemann, A. R. (2016) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2016.7833750 · Cited by 17 · see citing works
Culaclii, S., Kim, B., Lo, Y., & Liu, W. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7592142 · Cited by 16 · see citing works
A 50µm pitch, 1120-channel, 20kHz frame rate microelectrode array for slice recording
Johnson, B. C., Peace, S. T., Cleland, T. A., & Molnar, A. C. (2013) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2013.6679651 · Cited by 14 · see citing works
Equalization for intracortical microstimulation artifact reduction.
Chu, P., Muller, R., Koralek, A., Carmena, J. M., Rabaey, J. M., & Gambini, S. (2013) · 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609483 · Cited by 13 · see citing works
A CMOS neurostimulator with on-chip DAC calibration and charge balancing
Greenwald, E., Chen, C., Thakor, N. V., Maier, C., & Cauwenberghs, G. (2013) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2013.6679646 · Cited by 10 · see citing works
WAND: A 128-channel, closed-loop, wireless artifact-free neuromodulation devicePreprint
Zhou, A., Santacruz, S. R., Johnson, B. C., Alexandrov, G., Moin, A., Burghardt, F., Rabaey, J. M., Carmena, J. M., & Muller, R. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1708.00556 · Cited by 10 · see citing works
Park, S., Cho, J., & Yoon, E. (2017) · Symposium on VLSI Circuits · doi:10.23919/vlsic.2017.8008468 · Cited by 9 · see citing works
European Solid-State Circuits Conference
Tikka, T., Stadius, K., Ryynänen, J., & Kaltiokallio, M. (2015) · Cited by 8 · see citing works
Stimulation artifact rejection in closed-loop, distributed neural interfaces
Peterson, E. J., Dinsmoor, D. A., Tyler, D. J., & Denison, T. (2016) · European Solid-State Circuits Conference (ESSCIRC) · doi:10.1109/esscirc.2016.7598285 · Cited by 7 · see citing works
Flagged first, then by citations
5 of the 78 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Interface, interaction, and intelligence in generalized brain–computer interfaces
Gao, X., Wang, Y., Chen, X., & Gao, S. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.04.003 · Cited by 306 · see citing works
Next-generation interfaces for studying neural function
Frank, J. A., Antonini, M.-J., & Anikeeva, P. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0198-8 · Cited by 241 · see citing works
Zhang, M., Tang, Z., Liu, X., & Van der Spiegel, J. (2020) · Nature Electronics · doi:10.1038/s41928-020-0390-3 · Cited by 231 · see citing works
Massively parallel microwire arrays integrated with CMOS chips for neural recording
Obaid, A., Hanna, M.-E., Wu, Y., Köllő, M., Rácz, R., Angle, M. R., Müller, J., Brackbill, N., Wray, W., Franke, F., et al. (2020) · Science Advances · doi:10.1126/sciadv.aay2789 · Cited by 195 · see citing works
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
Fellous, J., Sapiro, G., Rossi, A. F., Mayberg, H., & Ferrante, M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01346 · Cited by 156 · see citing works
Kim, K., Vöröslakos, M., Seymour, J. P., Wise, K. D., Buzsáki, G., & Yoon, E. (2020) · Nature Communications · doi:10.1038/s41467-020-15769-w · Cited by 128 · see citing works
Rewiring the Lesioned Brain: Electrical Stimulation for Post-Stroke Motor Restoration
Bao, S., Khan, A., Song, R., & Tong, R. K. (2020) · Journal of Stroke · doi:10.5853/jos.2019.03027 · Cited by 95 · see citing works
Caldwell, D. J., Ojemann, J. G., & Rao, R. P. N. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00804 · Cited by 81 · see citing works
Uehlin, J. P., Smith, W. A., Pamula, V. R., Pepin, E. P., Perlmutter, S., Sathe, V., & Rudell, J. C. (2020) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2020.2991524 · Cited by 81 · see citing works
Ansó, J., Benjaber, M., Parks, B. A., Parker, S. R., Oehrn, C. R., Petrucci, M. N., Gilron, R., Little, S. J., Wilt, R., Bronte-Stewart, H. M., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac59a3 · Cited by 64 · see citing works
Rao, R. P. N. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.03.008 · Cited by 62 · see citing works
A fully implantable wireless bidirectional neuromodulation system for mice
Wright, J., Mughrabi, I. T., Wong, J., Mathew, J., Jayaprakash, N., Crosfield, C., Chang, E. H., Chavan, S. S., Tracey, K. J., Pavlov, V. A., et al. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113886 · Cited by 57 · see citing works
Directions of Deep Brain Stimulation for Epilepsy and Parkinson’s Disease
Wu, Y.-C., Liao, Y.-S., Yeh, W.-H., Liang, S., & Shaw, F.-Z. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.680938 · Cited by 54 · see citing works
Closed-loop electrical neurostimulation: Challenges and opportunities
Iturrate, I., Pereira, M., & Millán, J. D. R. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.09.007 · Cited by 54 · see citing works
Sombeck, J. T., Heye, J. O., Kumaravelu, K., Goetz, S. M., Peterchev, A. V., Grill, W. M., Bensmaı̈a, S. J., & Miller, L. E. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac63e8 · Cited by 48 · see citing works
CLoSES: A platform for closed-loop intracranial stimulation in humans
Zelmann, R., Paulk, A. C., Basu, I., Sarma, A. A., Yousefi, A., Crocker, B., Eskandar, E. N., Williams, Z. M., Cosgrove, G. R., Weisholtz, D. S., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117314 · Cited by 46 · see citing works
Salimpour, Y., Mills, K. A., Hwang, B. Y., & Anderson, W. S. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.11.019 · Cited by 46 · see citing works
A Bidirectional Neural Interface SoC With Adaptive IIR Stimulation Artifact Cancelers
Samiei, A., & Hashemi, H. (2021) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2021.3056040 · Cited by 46 · see citing works
Hsieh, C., & Ker, M. (2021) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2021.3087036 · Cited by 46 · see citing works
Brain–computer interfaces for neuropsychiatric disorders
Oganesian, L. L., & Shanechi, M. M. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00177-2 · Cited by 39 · see citing works
Öztürk, M., Viswanathan, A., Sheth, S. A., & Ince, N. F. (2021) · Communications Biology · doi:10.1038/s42003-021-01915-7 · Cited by 37 · see citing works
Closed-loop bioelectronic medicine for diabetes management
Güemes, A., Etienne‐Cummings, R., & Georgiou, P. (2020) · Bioelectronic Medicine · doi:10.1186/s42234-020-00046-4 · Cited by 33 · see citing works
Duru, J., Maurer, B., Doran, C. G., Jelitto, R., Küchler, J., Ihle, S. J., Ruff, T., John, R., Genocchi, B., & Vörös, J. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115591 · Cited by 28 · see citing works
Signal recovery from stimulation artifacts in intracranial recordings with dictionary learning
Caldwell, D. J., Cronin, J. A., Rao, R. P. N., Collins, K. L., Weaver, K. E., Ko, A. L., Ojemann, J. G., Kutz, J. N., & Brunton, B. W. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab7a4f · Cited by 26 · see citing works
Zhou, Y., Bi, Z.-Y., Ji, M., Chen, S., Wang, W., Wang, K., Hu, B., Lü, X., & Wang, Z. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.2980294 · Cited by 24 · see citing works
Gu, W., Wang, L., Wang, X., Cai, Z., & Guan, S. (2024) · Nano Letters · doi:10.1021/acs.nanolett.4c03645 · Cited by 23 · see citing works
Perspective: Phase Amplitude Coupling–Based Phase–Dependent Neuromodulation in Parkinson’s Disease
Hwang, B. Y., Salimpour, Y., Tsehay, Y. K., Anderson, W. S., & Mills, K. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.558967 · Cited by 23 · see citing works
Rijn, E. M. D.-V., Provenza, N. R., Calvert, J. S., Gilron, R., Allawala, A. B., Darie, R., Syed, S. H., Matteson, E., Vogt, G. S., Avendaño-Ortega, M., et al. (2020) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100010 · Cited by 23 · see citing works
Silva, A. B., Khambhati, A. N., Speidel, B. A., Chang, E. F., & Rao, V. R. (2021) · Epilepsy & Behavior Reports · doi:10.1016/j.ebr.2021.100467 · Cited by 21 · see citing works
Farkhondeh Tale Navi, F., Heysieattalab, S., Ramanathan, D. S., Raoufy, M. R., & Nazari, M. A. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2021.12.004 · Cited by 19 · see citing works
Martínez, S., Veirano, F., Constandinou, T. G., & Silveira, F. (2022) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2022.3228895 · Cited by 20 · see citing works
Multifunctional Fiber‐Based Optoacoustic Emitter as a Bidirectional Brain Interface
Zheng, N., Jiang, Y., Jiang, S., Kim, J., Chen, G., Li, Y., Cheng, J., Jia, X., & Yang, C. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202300430 · Cited by 19 · see citing works
Debarros, J., Gaignon, L., He, S., Pogosyan, A. H., Benjaber, M., Denison, T., Brown, P., & Tan, H. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176665 · Cited by 19 · see citing works
Artificial Retina: A Future Cellular-Resolution Brain-Machine Interface
Muratore, D. G., & Chichilnisky, E. J. (2020) · The frontiers collection · doi:10.1007/978-3-030-18338-7_24 · Cited by 19 · see citing works
Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy
Chatterjee, S., Romero, O., Ashourvan, A., & Pequito, S. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abc740 · Cited by 19 · see citing works
Design of Dual-Configuration Dual-Mode Stimulator in Low-Voltage CMOS Process for Neuro-Modulation
Hsieh, C., Wu, Y.-H., & Ker, M. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3246164 · Cited by 18 · see citing works
Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces
Hueber, P., Tang, G., Sifalakis, M., Liaw, H.-P., Micheli, A., Tömen, N., & Liu, Y. (2024) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ad4411 · Cited by 17 · see citing works
Vėbraitė, I., & Hanein, Y. (2021) · Frontiers in Medical Technology · doi:10.3389/fmedt.2021.675744 · Cited by 16 · see citing works
Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges
Grani, F., Soto-Sánchez, C., Fimia, A., & Fernández, E. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1034270 · Cited by 16 · see citing works
A 107.6 dB-DR Three-Step Incremental ADC for Motion-Tolerate Biopotential Signals Recording
Fang, L., Zhang, S., Li, Y., Wu, S., Zeng, X., Hong, Z., & Xu, J. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3312976 · Cited by 16 · see citing works
Chen, Z., Yang, K., Wang, N., Yang, L., Yang, Z., Xu, L., Wang, J., & Zhang, L. (2025) · Neurology and Therapy · doi:10.1007/s40120-025-00710-4 · Cited by 17 · see citing works
Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis
Su, F., Chen, M., Zu, L., Li, S., & Li, H. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3056544 · Cited by 16 · see citing works
Wang, H., Bi, Z.-Y., Fan, W.-J., Zhou, Y., Zhou, Y., Li, F., Wang, K., Lü, X., & Wang, Z. (2021) · IEEE Access · doi:10.1109/access.2021.3077644 · Cited by 16 · see citing works
Jung, S., Kwon, P., Piech, D. K., Maharbiz, M. M., Rabaey, J. M., & Alon, E. (2018) · IEEE Solid-State Circuits Letters · doi:10.1109/lssc.2019.2908090 · Cited by 15 · see citing works
Physiological Artifacts and the Implications for Brain-Machine-Interface Design
Sorkhabi, M. M., Benjaber, M., Brown, P., & Denison, T. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9283328 · Cited by 14 · see citing works
Petkos, K., Guiho, T., Degenaar, P. A., Jackson, A., Brown, P., Denison, T., & Drakakis, E. M. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab2610 · Cited by 14 · see citing works
Cho, J., Seong, G., Chang, Y., & Kim, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.667447 · Cited by 14 · see citing works
Elyahoodayan, S., Jiang, W., Xu, H., & Song, D. B. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01011 · Cited by 13 · see citing works
Assche, J. V., Carlino, M. F., Alea, M. D., Massaioli, S., & Gielen, G. E. (2023) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas58349.2023.10388515 · Cited by 11 · see citing works
Infrared neuromodulation—a review
Sander, M. Y., & Zhu, X. (2024) · Reports on Progress in Physics · doi:10.1088/1361-6633/ad4729 · Cited by 11 · see citing works
Earley, E. J., Berneving, A., Zbinden, J., & Ortiz-Catalan, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1030207 · Cited by 10 · see citing works
Alarie, M. E., Provenza, N. R., Avendaño-Ortega, M., McKay, S. A., Waite, A. S., Mathura, R. K., Herron, J. A., Sheth, S. A., Borton, D. A., & Goodman, W. K. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1016379 · Cited by 10 · see citing works
Carlino, M. F., & Gielen, G. E. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3344889 · Cited by 10 · see citing works
Hou, Y., Zhu, Y. S., Ji, X., Richardson, A. G., & Liu, X. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3355809 · Cited by 10 · see citing works
Brain Co-processors: Using AI to Restore and Augment Brain Function
Rao, R. P. N. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_32-1 · Cited by 10 · see citing works
Palomeque-Mangut, D., Rodriguez-Vazquez, A., & Delgado‐Restituto, M. (2022) · Sensors · doi:10.3390/s22176429 · Cited by 12 · see citing works
Pu, H., Lim, J., Kellis, S., Liu, C. Y., Andersen, R. A., Do, A. H., Heydari, P., & Nenadić, Z. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab82ac · Cited by 10 · see citing works
WAND: A 128-channel, closed-loop, wireless artifact-free neuromodulation devicePreprint
Zhou, A., Santacruz, S. R., Johnson, B. C., Alexandrov, G., Moin, A., Burghardt, F., Rabaey, J. M., Carmena, J. M., & Muller, R. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1708.00556 · Cited by 10 · see citing works
Investigating the electrode-electrolyte interface modelling in cochlear implants
Molaee-Ardekani, B., & Donahue, M. J. (2023) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/aceafb · Cited by 9 · see citing works
Qiang, Y., Zhang, X., Xue, X., Homer, L., Jos, G., Weng, Z., Li, H., Kim, I.-S., & Zhang, Y. (2025) · ACS Nano · doi:10.1021/acsnano.5c04148 · Cited by 9 · see citing works
Tiefenbach, J., Chan, H. H. N., Machado, A. G., & Baker, K. B. (2022) · Neurosurgery · doi:10.1227/neu.0000000000002134 · Cited by 8 · see citing works
Jain, A., Fogleman, E., Botros, P., Vatsyayan, R., Koruprolu, A., Pochet, C., Bourhis, A. M., Liu, Z., Chethan, S., Le, H., et al. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3508544 · Cited by 8 · see citing works
An Active Microchannel Neural Interface for Implantable Electrical Stimulation and Recording
Habibollahi, M., Jiang, D., Lancashire, H. T., & Demosthenous, A. (2025) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2025.3533612 · Cited by 8 · see citing works
Automated Distributed Element Model Generation for Neural Interface Co-Design
Tala, F., Bandali, M., & Johnson, B. C. (2020) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas48704.2020.9184671 · Cited by 8 · see citing works
Sohn, W. J., Lim, J., Wang, P. T., Pu, H., Malekzadeh-Arasteh, O., Shaw, S. J., Armacost, M., Gong, H., Kellis, S., Andersen, R. A., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1075971 · Cited by 8 · see citing works
Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement
Singh, M. F., Cole, M. W., Braver, T., & Ching, S.-N. (2022) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2022.05.001 · Cited by 8 · see citing works
A Programmable Multi-Biomarker Neural Sensor for Closed-Loop DBS
Parastarfeizabadi, M., Kouzani, A. Z., Beckinghausen, J., Lin, T., & Sillitoe, R. V. (2018) · IEEE Access · doi:10.1109/access.2018.2885336 · Cited by 7 · see citing works
A 200GΩ-ZIN, <0.2%-THD CT-△Σ-Based ADC-Direct Artifact-Tolerant Neural Recording Circuit
Moeinfard, T., & Kassiri, H. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937258 · Cited by 6 · see citing works
Bi, Z.-Y., Zhou, Y., Xie, C.-X., Wang, H., Wang, H., Wang, B.-L., Huang, J., Lü, X., & Wang, Z. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abf68c · Cited by 6 · see citing works
Physiological Artefacts and the Implications for Brain-Machine-Interface DesignPreprint
Sorkhabi, M. M., Benjaber, M., Brown, P., & Denison, T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.22.111609 · Cited by 6 · see citing works
OpenMEA: Open-Source Microelectrode Array Platform for Bioelectronic InterfacingPreprint
O’Leary, G., Khramtsov, I., Ramesh, R., Perez-Ignacio, A., Shah, P. T., Chameh, H. M., Gierlach, A., Genov, R., & Valiante, T. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.11.516234 · Cited by 6 · see citing works
An Active Microchannel Neural Interface with Artifact Reduction
Habibollahi, M., Hanzaee, F. F., Jiang, D., Lancashire, H., & Demosthenous, A. (2021) · 2021 IEEE International Symposium on Circuits and Systems (ISCAS) · doi:10.1109/iscas51556.2021.9401318 · Cited by 5 · see citing works
Guo, X., Pogosyan, A. H., Debarros, J., He, S., Wehmeyer, L., Plazas, F. R., Wendt, K., Yin, Z., Raslan, A., Hart, T., et al. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.09.002 · Cited by 5 · see citing works
Electrical rejuvenation of chronically implanted macroelectrodes in nonhuman primates
O'Sullivan, K. P., Orazem, M. E., Otto, K. J., Butson, C. R., & Baker, J. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad5703 · Cited by 5 · see citing works
Brain Co-processors: Using AI to Restore and Augment Brain Function
Rao, R. P. N. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_32 · Cited by 5 · see citing works
Bahador, N., Saha, J., Rezaei, M. R., Saha, U., Ghahremani, A., Chen, R. E., & Lankarany, M. (2023) · Bioengineering · doi:10.3390/bioengineering10060719 · Cited by 5 · see citing works
Cho, H., Benjaber, M., Gkogkidis, C. A., Buchheit, M., Ruiz‐Rodriguez, J. F., Grannan, B. L., Weaver, K. E., Ko, A. L., Cramer, S. C., Ojemann, J. G., et al. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3459801 · Cited by 5 · see citing works
Sohn, W. J., Wang, P. T., Kellis, S., Andersen, R. A., Liu, C. Y., Heydari, P., Nenadić, Z., & Do, A. H. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176718 · Cited by 5 · see citing works
Zhao, J., Yuan, R., Shin, H., Ji, R., & Zheng, Y. (2025) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2025.3555572 · Cited by 4 · see citing works
Real-time brain-computer interface control of walking exoskeleton with bilateral sensory feedback
Lim, J., Wang, P. T., Sohn, W. J., Lin, D., Thaploo, S., Bashford, L., Bjånes, D. A., Nguyen, A., Gong, H., Armacost, M., et al. (2026) · Brain stimulation · doi:10.1016/j.brs.2026.103065 · Cited by 7 · see citing works
Closed-Loop Deep Brain Stimulation Platform for Translational Research
Li, Y., Nie, Y., Li, X., Cheng, X., Zhu, G., Zhang, J., Quan, Z., & Wang, S. (2024) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2024.10.012 · Cited by 4 · see citing works
Schelles, M., Wouters, J., Asamoah, B., Laughlin, M. M., & Bertrand, A. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac4ecf · Cited by 4 · see citing works
Suppression of cortical electrostimulation artifacts using pre-whitening and null projection
Lim, J., Wang, P. T., Bashford, L., Kellis, S., Shaw, S. J., Gong, H., Armacost, M., Heydari, P., Do, A. H., Andersen, R. A., et al. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acf68b · Cited by 4 · see citing works
Artifact-free, high-temporal-resolution in vivo opto-electrophysiology with microLED optoelectrodesPreprint
Kim, K., Vöröslakos, M., Seymour, J. P., Wise, K. D., Buzsáki, G., & Yoon, E. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/622670 · Cited by 4 · see citing works
What Is Brain-Computer Interface (BCI)?
Chaudhary, U. (2025) · Springer eBooks · doi:10.1007/978-3-031-78991-5_1 · Cited by 3 · see citing works
Detection of evoked resonant neural activity in Parkinson’s disease
Lee, W.-L., Ward, N., Petoe, M. A., Moorhead, A., Lawson, K. K. K., Xu, S. S., Bulluss, K. J., Thevathasan, W., McDermott, H. J., & Perera, T. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad2a36 · Cited by 3 · see citing works
Conde, S. V., Sacramento, J. F., Zinno, C., Mazzoni, A., Micera, S., & Guarino, M. P. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1378473 · Cited by 3 · see citing works
Touch restoration through electrical cortical stimulation in humans
Caldwell, D. J., Cronin, J. A., Levinson, L. H., & Rao, R. P. N. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00021-6 · Cited by 3 · see citing works
Woller, J. P., Menrath, D., & Gharabaghi, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.13.593884 · Cited by 3 · see citing works
A Novel Stimulus Artifact Suppression System With Fast Template Subtraction
Liu, Y., Chang, Q., Li, X., & Liu, X. (2025) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2025.3591110 · Cited by 2 · see citing works
Biomimetic bidirectional hand neuroprostheses for restoring somatosensory and motor functions
Iberite, F., Mendez, V., Mazzoni, A., Shokur, S., & Micera, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00011-3 · Cited by 2 · see citing works
Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation
Bent, B., Chiang, C., Wang, C., Lad, N. P., Kent, A. R., & Viventi, J. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8717053 · Cited by 2 · see citing works
A Bidirectional ASIC for Active Microchannel Neural Interfaces
Habibollahi, M., Jiang, D., Lancashire, H. T., & Demosthenous, A. (2022) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs202256217.2022.9970803 · Cited by 2 · see citing works
Systems-on-Chips for Invasive Brain-Computer Interfaces: Challenges and Opportunities
Yang, J., & Sawan, M. (2024) · IEEE International Conference on Solid-State and Integrated Circuit Technology · doi:10.1109/icsict62049.2024.10831917 · Cited by 1 · see citing works
An SVD-based method for DBS artifact removal: High-fidelity restoration of local field potential
Chen, L., Ren, Z., & Wang, J. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107908 · Cited by 1 · see citing works
An artefact-resilient wide bandwidth bidirectional graphene neural interface
Prokop, M., Esparza-Iaizzo, M., Masvidal‐Codina, E., Illa, X., Codadu, N. K., Rathore, D., Ria, N., Kostarelos, K., del Corro, E., Garcia‐Cortadella, R., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-73790-x · Cited by 2 · see citing works
Koutsoftidis, S., Petkos, K., Zafeiropoulos, G. C., Gryparis, G., Belgaid, Y., Kim, M.-Y., Kay, J. A., Coyle, C., Bushrod, O., Bissett, S., et al. (2025) · Measurement · doi:10.1016/j.measurement.2025.118777 · Cited by 1 · see citing works
A Continuous-Time Zoom Sensor Readout Frontend With Fast Tracking and Floating-Gm-CCO Integrator
Luo, H., Wang, Z., Wang, J., Li, B., Shen, Z., Liu, Y., Duan, X., Wang, Y., & Tang, X. (2026) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2026.3677053 · Cited by 1 · see citing works
Chauhan, K., Kromer, J. A., NEIMAN, A. B., & Tass, P. A. (2026) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-026-02364-1 · Cited by 1 · see citing works
Brain-Machine Based Rehabilitation Motor Interface and Design Evaluation for Stroke Patients
Cai, J., & Cai, J. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-6222-8_52 · Cited by 1 · see citing works
- Authors
- Zhou, A., Johnson, B. C., & Muller, R.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Muller, Rikky
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 50
- Pages
- 119-127
- ISSN
- 0959-4388 (ISSN-L)
- OpenAlex
- W2790961768
- Cited by
- 125
- References
- 78
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 14 · 2023: 14 · 2022: 14 · 2021: 19 · 2020: 20 · 2019: 8 · 2018: 5 · 2017: 1
- FWCI
- 1.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 264 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Current Opinion in Neurobiology (acceptedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Defense Advanced Research Projects Agency (W911NF-14-2-0043)
- National Science Foundation (1106400)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
- Keywords
- closed-loop neuromodulation, responsive neurostimulation, stimulation artifacts, artifact removal, biomarker detection
- MeSH terms
- Algorithms, Animals, Electric Stimulation, Humans, Neurons, Signal Processing, Computer-Assisted, Artifacts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review