The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
On the Origin of the Extracellular Action Potential Waveform: A Modeling Study
Abstract
Although extracellular unit recording is typically used for the detection of spike occurrences, it also has the theoretical ability to report about what are typically considered intracellular features of the action potential. We address this theoretical ability by developing a model system that captures features of experimentally recorded simultaneous intracellular and extracellular recordings of CA1 pyramidal neurons. We use the line source approximation method of Holt and Koch to model the extracellular action potential (EAP) voltage resulting from the spiking activity of individual neurons. We compare the simultaneous intracellular and extracellular recordings of CA1 pyramidal neurons recorded in vivo with model predictions for the same cells reconstructed and simulated with compartmental models. The model accurately reproduces both the waveform and the amplitude of the EAPs, although it was difficult to achieve simultaneous good matches on both the intracellular and extracellular waveforms. This suggests that accounting for the EAP waveform provides a considerable constraint on the overall model. The developed model explains how and why the waveform varies with electrode position relative to the recorded cell. Interestingly, each cell's dendritic morphology had very little impact on the EAP waveform. The model also demonstrates that the varied composition of ionic currents in different cells is reflected in the features of the EAP.
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.
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
The NEURON Simulation Environment
Hines, M. L., & Carnevale, N. T. (1997) · Neural Computation · doi:10.1162/neco.1997.9.6.1179 · Cited by 2,658
Dynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350
Biophysics of Computation: Information Processing in Single Neurons
Koch, C. (1998) · Oxford University Press eBooks · doi:10.1093/oso/9780195104912.001.0001 · Cited by 2,283
Self-citationUnsupervised spike detection and sorting with wavelets and superparamagnetic clustering
Quiroga, R. Q., Nadasdy, Z., & Ben-Shaul, Y. (2004) · Neural Computation · doi:10.1162/089976604774201631 · Cited by 2,119
K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons
Hoffman, D. A., Magee, J. C., Colbert, C. M., & Johnston, D. (1997) · Nature · doi:10.1038/43119 · Cited by 1,389
Harris, K., & Stevens, J. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-08-02982.1989 · Cited by 1,073
Voltage-clamp analysis of muscarinic excitation in hippocampal neurons
Halliwell, J. V., & Adams, P. R. (1982) · Brain Research · doi:10.1016/0006-8993(82)90954-4 · Cited by 1,041
Magee, J. C. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-19-07613.1998 · Cited by 981
Oscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
Csicsvari, J., Hirase, H., Czurkó, A., Mamiya, A., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00274.1999 · Cited by 966
Self-citationMegı́as, M., Emri, Z., Freund, T. F., & Gulyás, A. I. (2001) · Neuroscience · doi:10.1016/s0306-4522(00)00496-6 · Cited by 950
Cited by
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
Self-citationHippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759
Self-citationNeuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings.
Steinmetz, N. A., Aydin, C., Lebedeva, A., Okun, M., Pachitariu, M., Bauza, M., Beau, M., Bhagat, J., Böhm, C., Broux, M., et al. (2021) · Science · doi:10.1126/science.abf4588 · Cited by 1,173
“In biophysical models of neurons’ extracellular potentials (Gold et al., 2006), some features of these potentials are predicted to be smaller than the spatial sampling density of this probe (15 μm), raising the possibility that applying the algorithms developed here to data from probes of still higher density (Fiáth e…”
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938
Self-citationModelling 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
Metadata
- Authors
- Gold, C., Henze, D. A., Koch, C., & Buzsáki, G.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2006-05
- Volume
- 95
- Issue
- 5
- Pages
- 3113-3128
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1983634702
- Cited by
- 586
- References
- 54
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the Origin of the Extracellular Action Potential Waveform: A Modeling Study. https://app.cochat.ai/papers/10.1152/jn.00979.2005
- The paper
- Gold, C., Henze, D. A., Koch, C., & Buzsáki, G. (2006). On the Origin of the Extracellular Action Potential Waveform: A Modeling Study. Journal of Neurophysiology. https://doi.org/10.1152/jn.00979.2005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.