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Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum

Nicholson, C., Freeman, J. A.·1975·Journal of Neurophysiology

Abstract

The theoretical basis of current source-density (CSD) analysis in the central nervous system is described. Equations relating CSD, the current flow vector, and the extracellular field potential are given. It is shown that the CSD provides superior resolution of neuronal events when compared to conventional field-potential analysis. Expressions for the CSD in rectangular Cartesian coordinates are derived, including the general case of anisotropic, inhomogeneous conductive tissue, and a coordinate system rotated with respect to the principal axes (APPENDIX). The minimum number of spatial dimensions for accurate CSD analysis is discussed. The conductivity tensor was experimentally measured in frog and toad cerebella. All three principal components of the tensor were evaluated and their spatial gradients determined to be negligible. It was also shown that the conductivity was independent of potential. Thus the anuran cerebellum is anisotropic, homogeneous, and ohmic. On the basis of these results the appropriate mathematical expression for the CSD was selected.

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Metadata

Authors
Nicholson, C., & Freeman, J. A.
Venue
Journal of Neurophysiology
Published
1975-03-01
Volume
38
Issue
2
Pages
356-368
ISSN
  • 0022-3077 (ISSN-L)
  • 1522-1598
OpenAlex
W1873383122
Cited by
692
References
0
FWCI
1.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. https://app.cochat.ai/papers/10.1152/jn.1975.38.2.356
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Nicholson, C., & Freeman, J. A. (1975). Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. Journal of Neurophysiology. https://doi.org/10.1152/jn.1975.38.2.356

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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.