The DOI matches its Crossref record.
Electric Fields of the Brain: The Neurophysics of EEG
Abstract
Computer technology is widely used to process biomedical information. Indeed, electrodiagnostic studies of heart, nervous system, and blood flow as well as radiographic procedures are dependent on computer assistance. Clinical electroencephalography, by contrast, remains largely a test, the interpretation of which must be done the old-fashioned way—by people. In their book the authors present mathematical, physical, physiological, engineering, and medical facts in an effort to diminish a communication gap amongst electroencephalographers, engineers, and physicists. In fact, their book is directed to practitioners of each of those disciplines. The book focuses on the various aspects of electrophysiology of the brain. The first three chapters concern the relationship of physics and electrophysiology, while subsequent chapters are related to potentials in different biologic media and the generation and recording of cerebral electrical activity. Computer methodology applicable to electroencephalography is mentioned. This book has considerable value in its presentation of clinical, theoretical, and speculative
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
Cited by
Deep learning with convolutional neural networks for EEG decoding and visualization
Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F., Burgard, W., & Ball, T. (2017) · Human Brain Mapping · doi:10.1002/hbm.23730 · Cited by 3,751
Is the P300 component a manifestation of context updating?
Donchin, E., & Coles, M. G. H. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058027 · Cited by 3,585
Näätänen, R., & Picton, T. (1987) · Psychophysiology · doi:10.1111/j.1469-8986.1987.tb00311.x · Cited by 3,321
The functional role of cross-frequency coupling
Canolty, R. T., & Knight, R. T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.09.001 · Cited by 2,101
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Metadata
- Authors
- Fermaglich, J.
- Venue
- JAMA: The Journal of the American Medical Association
- Publisher
- American Medical Association (AMA)
- Published
- 1982-04-02
- Volume
- 247
- Issue
- 13
- Pages
- 1879
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2021102124
- Cited by
- 1,543
- References
- 0
- FWCI
- 4.40
- 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: Electric Fields of the Brain: The Neurophysics of EEG. https://app.cochat.ai/papers/10.1001/jama.1982.03320380071046
- The paper
- Fermaglich, J. (1982). Electric Fields of the Brain: The Neurophysics of EEG. JAMA: The Journal of the American Medical Association. https://doi.org/10.1001/jama.1982.03320380071046
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.