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.
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“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]
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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
Cited by
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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
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