The DOI matches its Crossref record.
Electric Fields of the Brain
Abstract
This text is the second edition of this book. It expands the widely acclaimed 1981 book, filling more gaps between EEG and the physical sciences. EEG opens a “window on the mind” by finding new connections between psychology and physiology. Topics include synaptic sources, electrode placement, choice of reference, volume conduction, power and coherence, projection of scalp potentials to dura surface, dynamic signatures of conscious experience, and neural networks immersed in global fields of synaptic action.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“BrainNet relies on two well-known technologies: Electroencephalography (EEG)26 for non-invasively recording brain signals from the scalp and transcranial magnetic stimulation (TMS)27 for non-invasively stimulating the visual cortex.”
From BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains (2019) · cites this paper as [26]
In the citing paper
“Understanding of human brain dynamics at macroscopic scales, however, relies on noninvasive measurements such as EEG and MEG (3, 4).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [3]
In the citing paper
“The electrical/magnetic fields due to these microscopic currents, when added constructively, can produce observable electrical or magnetic signals at the macroscopic level.”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [3]
In the citing paper
“The spatial distribution of such currents determines the overall effect at the scalp (3, 7, 8).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [3]
Citations
Cited by
Sorted by citations
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
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
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
Dynamic Statistical Parametric Mapping
Dale, A. M., Liu, A. K., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000) · Neuron · doi:10.1016/s0896-6273(00)81138-1 · Cited by 1,787
The novelty P3: an event-related brain potential (ERP) sign of the brain's evaluation of novelty
Friedman, D., Cycowicz, Y. M., & Gaeta, H. (2001) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(01)00019-7 · Cited by 1,282
Metadata
- Authors
- Nunez, P. L., & Srinivasan, R.
- ORCID
- Nunez, Paul L.
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2006-01-26
- OpenAlex
- W1973740062
- Cited by
- 2,531
- References
- 0
- Citations by year
- 2026: 103 · 2025: 129 · 2024: 106 · 2023: 98 · 2022: 131 · 2021: 122 · 2020: 116 · 2019: 140 · 2018: 119 · 2017: 137 · 2016: 122 · 2015: 121 · 2014: 110 · 2013: 95 · 2012: 90
- FWCI
- 21.55
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- EEG, electrode placement, reference electrode, volume conduction, subjective experience, artificial neural networks
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
