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Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film
Open accessAbstract
Conductive polymer coatings can be used to modify traditional electrode recording sites with the intent of improving the long-term performance of cortical microelectrodes. Conductive polymers can drastically decrease recording site impedance, which in turn is hypothesized to reduce thermal noise and signal loss through shunt pathways. Moreover, conductive polymers can be seeded with agents aimed at promoting neural growth toward the recording sites or minimizing the inherent immune response. The end goal of these efforts is to generate an ideal long-term interface between the recording electrode and surrounding tissue. The goal of this study was to refine a method to electrochemically deposit surfactant-templated ordered poly(3,4-ethylenedioxythiophene) (PEDOT) films on the recording sites of standard 'Michigan' probes and to evaluate the efficacy of these modified sites in recording chronic neural activity. PEDOT-coated site performance was compared to control sites over a six-week evaluation period in terms of impedance spectroscopy, signal-to-noise ratio, number of viable unit potentials recorded and local field potential recordings. PEDOT sites were found to outperform control sites with respect to signal-to-noise ratio and number of viable unit potentials. The benefit of reduced initial impedance, however, was mitigated by the impedance contribution of typical silicon electrode encapsulation. Coating sites with PEDOT also reduced the amount of low-frequency drift evident in local field potential recordings. These findings indicate that electrode sites electrochemically deposited with PEDOT films are suitable for recording neural activity in vivo for extended periods. This study also provided a unique opportunity to monitor how neural recording characteristics develop over the six weeks following implantation.
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Citations
Cites
Pattern Recognition with Fuzzy Objective Function Algorithms
Bezdek, J. C. (1981) · doi:10.1007/978-1-4757-0450-1 · Cited by 9,881
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761
Instant neural control of a movement signal
Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002) · Nature · doi:10.1038/416141a · Cited by 1,415
A review of methods for spike sorting: the detection and classification of neural action potentials
Lewicki, M. S. (1998) · Network Computation in Neural Systems · doi:10.1088/0954-898x_9_4_001 · Cited by 1,372
Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153
Stimulation of neurite outgrowth using an electrically conducting polymer
Schmidt, C. E., Shastri, V. P., Vacanti, J. P., & Langer, R. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.17.8948 · Cited by 1,072
Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893
Self-citation
Research works printed but not linked: 5
- Schmidt E, 1990, Neurophysiol. Tech., 1
- Vetter R J, 2004, IEEE Trans. Neural Syst. Rehabil. Eng., 52, 896
- 10.1088/0954-898X/9/4/001 · DOI
- Kuffler S W, 1976, A Cellular Approach to the Function of the Nervous System.
- Black J, 1999, Fundamentals of Biocompatibility
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Seymour, J. P., & Kipke, D. R. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260528 · Cited by 35
Self-citationCaldwell, R., Mandal, H. S., Sharma, R., Solzbacher, F., Tathireddy, P., & Rieth, L. W. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa69d3 · Cited by 36
Li, F., Gallego, J., Tirko, N. N., Greaser, J., Bashe, D., Patel, R., Shaker, E., Valkenburg, G. E. V., Alsubhi, A. S., Wellman, S. M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49709-9 · Cited by 38
Björninen, M., Siljander, A. S., Pelto, J., Hyttinen, J., Kellomäki, M., Miettinen, S., Seppänen‐Kaijansinkko, R., & Haimi, S. P. (2014) · Annals of Biomedical Engineering · doi:10.1007/s10439-014-1023-7 · Cited by 35
Borden, P. Y., Ortiz, A. D., Waiblinger, C., Sederberg, A., Morrissette, A. E., Forest, C. R., Jaeger, D., & Stanley, G. B. (2017) · Neurophotonics · doi:10.1117/1.nph.4.3.031212 · Cited by 35
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Chapman, C. A. R., Goshi, N., & Şeker, E. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201703523 · Cited by 38
Selective uptake and sensing of nitrate in poly(3,4-ethylenedioxythiophene)
Rudd, S., Dalton, M., Buss, P., Treijs, A., Portmann, M., Ktoris, N., & Evans, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-16939-5 · Cited by 35
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Yang, K., & Narayan, R. J. (2019) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2019.03.002 · Cited by 34
Migliaccio, L., Aprano, S., Iannuzzi, L., Maglione, M. G., Tassini, P., Minarini, C., Manini, P., & Pezzella, A. (2017) · Advanced Electronic Materials · doi:10.1002/aelm.201600342 · Cited by 35
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Kim, K., Lee, Y., Jung, K. B., Kim, Y., Jang, E., Lee, M., Son, M., & Lee, H. J. (2024) · Advanced Materials · doi:10.1002/adma.202412953 · Cited by 30
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Schander, A., Strokov, S., Stemmann, H., Tebmann, T., Kreiter, A. K., & Lang, W. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2880833 · Cited by 32
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Bernardin, E. K., Frewin, C. L., Everly, R., Ul‐Hassan, J., & Saddow, S. E. (2018) · Micromachines · doi:10.3390/mi9080412 · Cited by 35
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Bérces, Z., Tóth, K., Márton, G., Pál, I., Kováts-Megyesi, B., Fekete, Z., Ulbert, I., & Pongracz, A. (2016) · Scientific Reports · doi:10.1038/srep35944 · Cited by 31
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Ivanovskaya, A. N., Belle, A. M., Yorita, A. M., Qian, F., Chen, S., Tooker, A., Lozada, R. G., Dahlquist, D., & Tolosa, V. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0171812jes · Cited by 33
Hess‐Dunning, A., & Tyler, D. J. (2018) · Micromachines · doi:10.3390/mi9110583 · Cited by 32
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Zeng, Q., Zhao, S., Yang, H., Zhang, Y., & Wu, T. (2019) · Micromachines · doi:10.3390/mi10060419 · Cited by 32
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Usoro, J. O., Sturgill, B. S., Musselman, K. C., Capadona, J. R., & Pancrazio, J. J. (2021) · Micromachines · doi:10.3390/mi12080972 · Cited by 34
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Balderston, D. E., Feo, E., Leonescu, A., Stevens, M., Wilmshurst, A. M., Gale, P. A., Haynes, C. J. E., Williams, G. T., & Hiscock, J. R. (2025) · Chemical Society Reviews · doi:10.1039/d4cs01037j · Cited by 30
Zhao, Z., Gong, R., Zheng, L., & Wang, J. (2016) · Sensors · doi:10.3390/s16111851 · Cited by 29
Taking Electrons out of Bioelectronics: From Bioprotonic Transistors to Ion Channels
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Forcelli, P. A., Sweeney, C., Kammerich, A. D., Lee, B. C. ‐., Rubinson, L. H., Kayinamura, Y. P., Gale, K., & Rubinson, J. F. (2012) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.34285 · Cited by 29
Clark, A. M., Ingold, A., Reiche, C. F., Cundy, D., Balsor, J. L., Federer, F., McAlinden, N., Cheng, Y., Rolston, J. D., Rieth, L. W., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05984-2 · Cited by 30
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Yang, Y., Boling, C. S., Kamboh, A. M., & Mason, A. J. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2015.2425736 · Cited by 29
In vivo polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT) in rodent cerebral cortex
Wilks, S. J., Woolley, A. J., Ouyang, L., Martin, D. C., & Otto, K. J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091338 · Cited by 29
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Persson, K. M., Gabrielsson, R., Sawatdee, A., Nilsson, D., Konradsson, P., & Magnus Berggren, A. (2014) · Langmuir · doi:10.1021/la500693d · Cited by 29
Gellan gum doped polypyrrole neural prosthetic electrode coatings
Higgins, T. M., Moulton, S. E., Gilmore, K. J., Wallace, G. G., & Panhuis, M. I. H. (2011) · Soft Matter · doi:10.1039/c1sm05063j · Cited by 29
Marzullo, T., Lehmkuhle, M. J., Gage, G. J., & Kipke, D. R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2041363 · Cited by 28
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Self-citationAdvanced materials for neural surface electrodes
Schendel, A. A., Eliceiri, K. W., & Williams, J. C. (2014) · Current Opinion in Solid State and Materials Science · doi:10.1016/j.cossms.2014.09.006 · Cited by 28
Electroactive biocompatible materials for nerve cell stimulation
Yang, M., Liang, Y., Gui, Q., Chen, J., & Liu, Y. (2015) · Materials Research Express · doi:10.1088/2053-1591/2/4/042001 · Cited by 28
Kang, X., Liu, J., Tian, H., Yang, B. T., NuLi, Y., & Yang, C. (2015) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2015.11.050 · Cited by 27
Çoğal, S. (2018) · Analytical Letters · doi:10.1080/00032719.2017.1387791 · Cited by 28
Murbach, J. M., Currlin, S., Widener, A. E., Tong, Y., Chhatre, S. S., Subramanian, V., Martin, D. C., Johnson, B. N., & Otto, K. J. (2018) · MRS Communications · doi:10.1557/mrc.2018.138 · Cited by 31
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Dong, P., Song, Y., Yu, S., Zhang, Z., Mallipattu, S. K., Djurić, P. M., & Yao, S. (2023) · Small · doi:10.1002/smll.202205058 · Cited by 27
Zeng, Q., Xia, K., Zhang, Y., & Wu, T. (2019) · Advanced Materials Interfaces · doi:10.1002/admi.201900356 · Cited by 27
Hyakumura, T., Robles, U. A. A., Duan, W., Villalobos, J., Adams, W. K., Poole-Warren, L. A., & Fallon, J. B. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.761525 · Cited by 26
Sui, L., Song, X., Ren, J., Cai, W., Ju, L. H., Wang, Y., Wang, L. Y., & Chen, M. (2013) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.34837 · Cited by 26
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Kwon, I. S., Kim, Y. J., Klosterman, L., Forssell, M., Fedder, G. K., & Bettinger, C. J. (2016) · Journal of Materials Chemistry B · doi:10.1039/c5tb02618k · Cited by 25
Caldwell, R., Sharma, R., Takmakov, P. A., Street, M. G., Solzbacher, F., Tathireddy, P., & Rieth, L. W. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.10.002 · Cited by 27
Robinson, J. T., Pietron, J. J., Blue, B. T., Perkins, F. K., Josberger, E. E., Deng, Y., & Rolandi, M. (2017) · Journal of Materials Chemistry C · doi:10.1039/c7tc03215c · Cited by 25
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Minnikanti, S., Pereira, M. G. A. G., Jaraiedi, S., Jackson, K., Costa-Neto, C. M., Li, Q., & Peixoto, N. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/1/016002 · Cited by 25
Huang, M., Lee, S., Jo, I., Park, H., Shim, B. S., & Yoon, M. (2023) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2023.121559 · Cited by 25
Araki, T., Yoshimoto, S., Uemura, T., Miyazaki, A., Kurihira, N., Kasai, Y., Harada, Y., Nezu, T., Iida, H., Sandbrook, J., et al. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200362 · Cited by 24
Donaldson, P. D., Navabi, Z. S., Carter, R. E., Fausner, S. M. L., Ghanbari, L., Ebner, T. J., Swisher, S. L., & Kodandaramaiah, S. B. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202200626 · Cited by 23
Abidian, M. R., Salas, L. G., Yazdan-Shahmorad, A., Marzullo, T., Martin, D. C., & Kipke, D. R. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369612 · Cited by 24
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Strategies for neural control of prosthetic limbs: from electrode interfacing to 3D printing
Ngan, C., Kapsa, R. M. I., & Choong, P. (2019) · Materials · doi:10.3390/ma12121927 · Cited by 24
In Vivo Penetrating Microelectrodes for Brain Electrophysiology
Erofeev, A., Antifeev, I., Bolshakova, A. V., Борисович, Б. И., & Власова, О. Л. (2022) · Sensors · doi:10.3390/s22239085 · Cited by 25
Intracranial neuronal ensemble recordings and analysis in epilepsy
Tóth, E., Fabó, D., Entz, L., Ulbert, I., & Erőss, L. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.09.028 · Cited by 23
Increasing biosensor response through hydrogel thin film deposition: Influence of hydrogel thickness
Montero, L., Gabriel, G., Guimerà‐Brunet, A., Villa, R., Gleason, K. K., & Borrós, S. (2012) · Vacuum · doi:10.1016/j.vacuum.2012.06.002 · Cited by 23
Feasibility of Neural Stimulation With Floating-Light-Activated Microelectrical Stimulators
Abdo, A., & Şahin, M. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2114882 · Cited by 22
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Trumpis, M., Insanally, M. N., Zou, J., Elsharif, A., Ghomashchi, A., Artan, N. S., Froemke, R. C., & Viventi, J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5a82 · Cited by 26
Self-supporting carbon nanotube films as flexible neural interfaces
Krukiewicz, K., Janas, D. W., Vallejo‐Giraldo, C., & Biggs, M. J. P. (2018) · Electrochimica Acta · doi:10.1016/j.electacta.2018.10.157 · Cited by 23
Lee, Y., Kong, C., Chang, J. W., & Jun, S. B. (2019) · Journal of Korean Medical Science · doi:10.3346/jkms.2019.34.e24 · Cited by 23
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Sederberg, A., Pala, A., Zheng, H. J. V., He, B. J., & Stanley, G. B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006716 · Cited by 22
Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining ApproachPreprint
Patnaik, D., SASTRY, P. S., & Unnikrishnan, K. P. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0803.0450 · Cited by 23
Transient neurovascular interface for minimally invasive neural recording and stimulation
Fanelli, A., Ferlauto, L., Zollinger, E. G., Brina, O., Reymond, P., Machi, P., & Ghezzi, D. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202100176 · Cited by 22
Jiang, S., Song, J., Zhang, Y., Nie, M., Kim, J., Marcano, A. L., Kadlec, K. M., Mills, W. A., Yan, X., Liu, H., et al. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c19187 · Cited by 20
Long-term flexible penetrating neural interfaces: materials, structures, and implantation
Gu, C., Jiang, J., Tao, T. H., Wei, X., & Sun, L. (2021) · Science China Information Sciences · doi:10.1007/s11432-021-3321-7 · Cited by 23
Organic microelectrode arrays for bioelectronic applications
Lu, Z., Pavia, A., Savva, A., Kergoat, L., & Owens, R. M. (2023) · Materials Science and Engineering R Reports · doi:10.1016/j.mser.2023.100726 · Cited by 23
Rembado, I., Castagnola, E., Turella, L., Ius, T., Budai, R., Ansaldo, A., Angotzi, G. N., de Bertoldi, F., Ricci, D., Škrap, M., et al. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500520 · Cited by 22
Kitto, T., Bodart, C., Rossetti, N., & Cicoira, F. (2019) · Elsevier eBooks · doi:10.1016/b978-0-08-102284-9.00025-5 · Cited by 23
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Obaid, S. N., Chen, Z., & Lu, L. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000091 · Cited by 21
Egeland, B. M., Urbanchek, M. G., Peramo, A., Richardson-Burns, S. M., Martin, D. C., Kipke, D. R., Kuzon, W. M., & Cederna, P. S. (2010) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0b013e3181f61848 · Cited by 21
Self-citationLo, C. T., Tassel, P. R. V., & Saltzman, W. M. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.05.074 · Cited by 21
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Huang, Y., Li, G., Bai, T., Shin, Y., Wang, X., More, A. I., Boucher, P. O., Chandrasekaran, C., Liu, J., & Fang, H. (2024) · npj Flexible Electronics · doi:10.1038/s41528-024-00344-w · Cited by 20
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Etemadi, L., Mohammed, M., Thorbergsson, P. T., Ekstrand, J., Friberg, A., Granmo, M., Pettersson, L. M. E., & Schouenborg, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155109 · Cited by 22
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Chen, G., Dodson, B., Hedges, D. M., Steffensen, S. C., Harb, J. N., Puleo, C., Galligan, C., Ashe, J. M., Vanfleet, R. R., & Davis, R. C. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b00038 · Cited by 20
Magnesium-based biodegradable microelectrodes for neural recording
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Metadata
- Authors
- Ludwig, K. A., Uram, J. D., Yang, J., Martin, D. C., & Kipke, D. R.
- Affiliations
- University of Michigan (US)
- Dow Chemical (United States) (US)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2006-03-01
- Volume
- 3
- Issue
- 1
- Pages
- 59-70
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2057005089
- Cited by
- 638
- References
- 55
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 24 · 2023: 22 · 2022: 23 · 2021: 37 · 2020: 34 · 2019: 39 · 2018: 52 · 2017: 57 · 2016: 42 · 2015: 51 · 2014: 38 · 2013: 32 · 2012: 24
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Science Foundation (9986866, 0518079, 0084304)
- University of Michigan
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (N01 NS 12338)
- Division of Materials Research
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- PEDOT, conducting polymer coatings, chronic neural recording, electrodeposition, electrode impedance, signal-to-noise ratio, local field potentials, low-frequency drift
- MeSH terms
- Action Potentials, Animals, Electrochemistry, Electrodes, Implanted, Equipment Design, Male, Membranes, Artificial, Microelectrodes, Motor Cortex, Neurons, Polymers, Silicon, Time Factors, Rats, Sprague-Dawley, Monitoring, Ambulatory, Bridged Bicyclo Compounds, Heterocyclic, Equipment Failure Analysis, Coated Materials, Biocompatible, Rats
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