Massively Parallel Recording of Unit and Local Field Potentials With Silicon-Based Electrodes
Abstract
Parallel recording of neuronal activity in the behaving animal is a prerequisite for our understanding of neuronal representation and storage of information. Here we describe the development of micro-machined silicon microelectrode arrays for unit and local field recordings. The two-dimensional probes with 96 or 64 recording sites provided high-density recording of unit and field activity with minimal tissue displacement or damage. The on-chip active circuit eliminated movement and other artifacts and greatly reduced the weight of the headgear. The precise geometry of the recording tips allowed for the estimation of the spatial location of the recorded neurons and for high-resolution estimation of extracellular current source density. Action potentials could be simultaneously recorded from the soma and dendrites of the same neurons. Silicon technology is a promising approach for high-density, high-resolution sampling of neuronal activity in both basic research and prosthetic devices.
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High-count microelectrode arrays have proven useful in basic physiology research and for clinical applications such as restoration of function in people with nervous system injury or stroke.
“Highcount microelectrode arrays have proven useful in basic physiology research [8], and for clinical applications such as the restoration of function in people with nervous system injury [9] or stroke [10].”
Recent penetrating neural interface applications require a greater number of electrodes (>60) to achieve complex neuromodulation or neurophysiological goals.
“Recent penetrating neural interface applications are requiring a greater number of electrodes (>60) to achieve complex neuromodulation [9,10,16] or neurophysiological [8] goals.”
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- Authors
- Csicsvari, J., Henze, D. A., Jamieson, B., Harris, K. D., Sirota, A., Barthó, P., Wise, K. D., & Buzsáki, G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Michigan (US)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2003-08
- Volume
- 90
- Issue
- 2
- Pages
- 1314-1323
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2168814495
- Cited by
- 402
- References
- 64
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 8 · 2023: 7 · 2022: 9 · 2021: 16 · 2020: 12 · 2019: 22 · 2018: 16 · 2017: 22 · 2016: 25 · 2015: 22 · 2014: 22 · 2013: 18 · 2012: 20
- FWCI
- 5.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institutes of Health (5p41rr009754-09)
- National Institute of Mental Health (R01MH054671, MH54671)
- National Institute of Neurological Disorders and Stroke (N01-NS02329, NS 43157, R01NS043157, R01NS034994, NS-34994)
- National Center for Research Resources (1P41RR-09754)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- local field potentials, current source density, action potential recording, neural representations, neuroprosthetics
- MeSH terms
- Animals, Brain, Electrophysiology, Microelectrodes, Silicon, Rats, Sprague-Dawley, Rats
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 ›
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