The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Multiplexed, High Density Electrophysiology with Nanofabricated Neural Probes
Open accessAbstract
Extracellular electrode arrays can reveal the neuronal network correlates of behavior with single-cell, single-spike, and sub-millisecond resolution. However, implantable electrodes are inherently invasive, and efforts to scale up the number and density of recording sites must compromise on device size in order to connect the electrodes. Here, we report on silicon-based neural probes employing nanofabricated, high-density electrical leads. Furthermore, we address the challenge of reading out multichannel data with an application-specific integrated circuit (ASIC) performing signal amplification, band-pass filtering, and multiplexing functions. We demonstrate high spatial resolution extracellular measurements with a fully integrated, low noise 64-channel system weighing just 330 mg. The on-chip multiplexers make possible recordings with substantially fewer external wires than the number of input channels. By combining nanofabricated probes with ASICs we have implemented a system for performing large-scale, high-density electrophysiology in small, freely behaving animals that is both minimally invasive and highly scalable.
Overview
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
Verification
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?
In the citing paper
“Some neural interface devices have been fabricated with high electrode densities; however, their designs have limited the use of these arrays to specific central nervous system structures, such as cortical grey matter (6.25 electrodes/mm 2 [12,13]; >150 electrodes/mm 2 [17,18]) or hippocampal slices (<11 electrodes/mm 2 [19]).”
From A new high-density (25 electrodes/mm2) penetrating microelectrode array for recording and stimulating sub-millimeter neuroanatomical structures (2013) · cites this paper as [17]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Receptive fields of single neurones in the cat's striate cortex
Hubel, D. H., & Wiesel, T. N. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006308 · Cited by 4,653
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332
Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483 · cited 1×
“For example, silicon probes containing dozens of recording sites on a thin penetrating shaft have yielded important insights into the function of the hippocampus [12] and visual cortex [13,14].”
BackgroundIntracellular 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
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912
Organization of cell assemblies in the hippocampus
Harris, K. D., Csicsvari, J., Hirase, H., Dragoi, G., & Buzsáki, G. (2003) · Nature · doi:10.1038/nature01834 · Cited by 901
Multiple neural spike train data analysis: state-of-the-art and future challenges
Brown, E. N., Kass, R. E., & Mitra, P. P. (2004) · Nature Neuroscience · doi:10.1038/nn1228 · Cited by 866
Tungsten Microelectrode for Recording from Single Units
Hubel, D. H. (1957) · Science · doi:10.1126/science.125.3247.549 · Cited by 864
Brain responses to micro-machined silicon devices
Szarowski, D. H., Andersen, M. D., Retterer, S. T., Spence, A. J., Isaacson, M. S., Craighead, H. G., Turner, J. N., & Shain, W. G. (2003) · Brain Research · doi:10.1016/s0006-8993(03)03023-3 · Cited by 811
Gray, C. M., Maldonado, P., Wilson, M., & McNaughton, B. L. (1995) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(95)00085-2 · Cited by 746
Chronic, multisite, multielectrode recordings in macaque monkeys
Nicolelis, M. A. L., Dimitrov, D., Carmena, J. M., Crist, R., Lehew, G., Kralik, J. D., & Wise, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1934665100 · Cited by 740
A synaptic organizing principle for cortical neuronal groups
Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718
How advances in neural recording affect data analysis
Stevenson, I. H., & Kording, K. P. (2011) · Nature Neuroscience · doi:10.1038/nn.2731 · Cited by 590
Basal forebrain activation enhances cortical coding of natural scenes
Goard, M. J., & Dan, Y. (2009) · Nature Neuroscience · doi:10.1038/nn.2402 · Cited by 558
Hazan, L., Zugaro, M. B., & Buzsáki, G. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.01.017 · Cited by 492
Das, A., & Gilbert, C. D. (1995) · Nature · doi:10.1038/375780a0 · Cited by 444
Massively Parallel Recording of Unit and Local Field Potentials With Silicon-Based Electrodes
Csicsvari, J., Henze, D. A., Jamieson, B., Harris, K. D., Sirota, A., Barthó, P., Wise, K. D., & Buzsáki, G. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00116.2003 · Cited by 402
Drake, K. L., Wise, K. D., Farraye, J., Anderson, D. J., & BeMent, S. L. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.7273 · Cited by 364
Pettersen, K. H., Devor, A., Ulbert, I., Dale, A. M., & Einevoll, G. T. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.12.005 · Cited by 350
Microelectrodes, Microelectronics, and Implantable Neural Microsystems
Wise, K. D., Sodagar, A. M., Yao, Y., Gulari, M. N., Perlin, G. E., & Najafi, K. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.922564 · Cited by 342
Biran, R., Martin, D. C., & Tresco, P. A. (2007) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.31138 · Cited by 340
The Design of Integrated Circuits to Observe Brain Activity
Harrison, R. R. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.922581 · Cited by 330
Self-citationUsing noise signature to optimize spike-sorting and to assess neuronal classification quality
Pouzat, C., Mazor, O., & Laurent, G. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00276-5 · Cited by 310
Ludwig, K. A., Langhals, N. B., Joseph, M. D., Richardson-Burns, S. M., Hendricks, J. L., & Kipke, D. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/1/014001 · Cited by 283
Polytrodes: High-Density Silicon Electrode Arrays for Large-Scale Multiunit Recording
Blanche, T. J., Spacek, M. A., Hetke, J. F., & Swindale, N. V. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01023.2004 · Cited by 282
Self-citationHow silent is the brain: is there a “dark matter” problem in neuroscience?
Shoham, S., O’Connor, D. H., & Segev, R. (2006) · Journal of Comparative Physiology A · doi:10.1007/s00359-006-0117-6 · Cited by 248
Recording spikes from a large fraction of the ganglion cells in a retinal patch
Segev, R., Goodhouse, J., Puchalla, J., & Berry, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1323 · Cited by 221
Implant Size and Fixation Mode Strongly Influence Tissue Reactions in the CNS
Thelin, J., Jörntell, H., Psouni, E., Garwicz, M., Schouenborg, J., Danielsen, N., & Linsmeier, C. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016267 · Cited by 195
A wireless multi-channel neural amplifier for freely moving animals
Szuts, T. A., Fadeyev, V., Kachiguine, S., Sher, A., Grivich, M., Agrochão, M., Hottowy, P., Dąbrowski, W., Lubenov, E. V., Siapas, A. G., et al. (2011) · Nature Neuroscience · doi:10.1038/nn.2730 · Cited by 187
Coherent gamma oscillations couple the amygdala and striatum during learning
Popescu, A. T., Popa, D., & Paré, D. (2009) · Nature Neuroscience · doi:10.1038/nn.2305 · Cited by 187
A 32-site neural recording probe fabricated by DRIE of SOI substrates
Peter Norlin, A., Kindlundh, M., Mouroux, A., Yoshida, K., & Hofmann, U. (2002) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/12/4/312 · Cited by 184
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
Silicon ribbon cables for chronically implantable microelectrode arrays
Hetke, J. F., Lund, J. L., Najafi, K., Wise, K. D., & Anderson, D. J. (1994) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.284959 · Cited by 174
Review of signal distortion through metal microelectrode recording circuits and filters
Nelson, M. J., Pouget, P., Nilsen, E. A., Patten, C. D., & Schall, J. D. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.12.010 · Cited by 167
Scaling limitations of silicon multichannel recording probes
Najafi, K., Ji, J., & Wise, K. D. (1990) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.43605 · Cited by 165
Miranda, H. C., Gilja, V., Chestek, C. A., Shenoy, K. V., & Meng, T. H. Y. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2044573 · Cited by 161
Reverse engineering the mouse brain
O’Connor, D. H., Huber, D., & Svoboda, K. (2009) · Nature · doi:10.1038/nature08539 · Cited by 140
Hutzler, M., Lambacher, A., Eversmann, B., Jenkner, M., Thewes, R., & Fromherz, P. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00347.2006 · Cited by 128
Fidelity of the Ensemble Code for Visual Motion in Primate Retina
Frechette, E. S., Sher, A., Grivich, M. I., Petrusca, D., Litke, A. M., & Chichilnisky, E. J. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01175.2004 · Cited by 125
Herwik, S., Kisban, S., Aarts, A. A. A., Seidl, K., Girardeau, G., Benchenane, K., Zugaro, M. B., Wiener, S. I., Paul, O., Neves, H. P., et al. (2009) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/19/7/074008 · Cited by 113
Chen, Y., Lai, H.-Y., Lin, S.-H., Chao, W.-H., Chao, W.-H., Liao, C., Tsang, S., Chen, Y., & Lin, S.-Y. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.05.010 · Cited by 110
Large-scale neural ensemble recording in the brains of freely behaving mice
Lin, L., Chen, G., Xie, K., Zaia, K. A., Zhang, S., & Tsien, J. Z. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.12.032 · Cited by 108
A Wireless Implantable Microsystem for Multichannel Neural Recording
Sodagar, A. M., Wise, K. D., & Najafi, K. (2009) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2009.2029957 · Cited by 90
Recent Progress in Neural Probes Using Silicon MEMS Technology
Ruther, P., Herwik, S., Kisban, S., Seidl, K., & Paul, O. (2010) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.20566 · Cited by 82
Implantable multichannel electrode array based on soi technology
Cheung, K. C., Djupsund, K., Dan, Y., & Lee, L. P. (2003) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2003.809962 · Cited by 81
Du, J., Riedel-Kruse, I. H., Nawroth, J. C., Roukes, M. L., Laurent, G., & Masmanidis, S. C. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90992.2008 · Cited by 80
Self-citationThe Lantern: An ultra-light micro-drive for multi-tetrode recordings in mice and other small animals
Battaglia, F. P., Kalenscher, T., Cabral, H., Winkel, J., Bos, J. J., Manuputy, R., van Lieshout, T., Pinkse, F. A., Beukers, H., & Pennartz, C. M. A. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.12.024 · Cited by 53
A 3-D 160-Site Microelectrode Array for Cochlear Nucleus Mapping
Merriam, M. E., Dehmel, S., Srivannavit, O., Shore, S. E., & Wise, K. D. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2088122 · Cited by 30
Wiring Nanoscale Biosensors with Piezoelectric Nanomechanical Resonators
Sadek, A. S., Karabalin, R. B., Du, J., Roukes, M. L., Christof Koch, A., & Masmanidis, S. C. (2010) · Nano Letters · doi:10.1021/nl100245z · Cited by 25
Self-citationSilicon Microelectrodes with Flexible Integrated Cables for Neural Implant Applications
Yao, Y., Gulari, M. N., Casey, B., Wiler, J. A., & Wise, K. D. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369693 · Cited by 24
Flagged first, then by citations
Cited by
Sorted by citations
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Spike sorting for large, dense electrode arrays
Rossant, C., Kadir, S., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 800
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
A Fully Automated Approach to Spike Sorting
Chung, J. E., Magland, J. F., Barnett, A. H., Tolosa, V., Tooker, A., Lee, K. Y., Shah, K. G., Felix, S. H., Frank, L. M., & Greengard, L. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.030 · Cited by 506
Metadata
- Authors
- Du, J., Blanche, T. J., Harrison, R. R., Lester, H. A., & Masmanidis, S. C.
- Affiliations
- California Institute of Technology (US)
- University of California, Berkeley (US)
- Intan Technologies (United States) (US)
- Corresponding author
- Masmanidis, Sotiris C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-10-12
- Volume
- 6
- Issue
- 10
- Pages
- e26204
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3192171
- OpenAlex
- W2081826483
- Cited by
- 231
- References
- 51
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 6 · 2023: 14 · 2022: 10 · 2021: 21 · 2020: 19 · 2019: 14 · 2018: 19 · 2017: 19 · 2016: 28 · 2015: 19 · 2014: 16 · 2013: 20 · 2012: 5
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- California Institute of Technology
- National Institutes of Health (5r21ns066260-02, DA017279)
- Kavli Nanoscience Institute, California Institute of Technology
- National Institute on Drug Abuse (R01DA017279, DA017279)
- National Institute of Neurological Disorders and Stroke (R21 NS066260, 5R21NS066260)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neural probes, extracellular recording, application-specific integrated circuits, silicon neural probe, implanted electrodes, freely moving animals
- MeSH terms
- Animals, Behavior, Animal, Electrodes, Male, Mice, Inbred C57BL, Neurons, Signal Processing, Computer-Assisted, Silicon, Temperature, Molecular Probes, Nanotechnology, Nanostructures, Mice, Electrophysiological Phenomena
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