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Cited by 162

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Oscillatory brain theory: a new trend in neuroscience

Basar, E., Basar-Eroglu, C., Karakas, S., Schurmann, M.·1999·IEEE Engineering in Medicine and Biology Magazine

Abstract

During the "Decade of the Brain", brain science is coming to terms with its ultimate problem: understanding the mechanisms by which the immense number of neurons in the human brain interact to produce the higher cognitive functions. The analysis of the brain's natural frequencies opens a new window toward a combined analysis of sensory and cognitive functions at the level of single neurons and the field potentials. In the last decade, our research group has been strongly involved in the development of nonlinear brain dynamics and with the oscillatory processes of neural assemblies. Recently, three new volumes extensively described this new evolution in neuroscience by concluding that a new integrative neurophysiology and a new "brain theory" is needed in order to confront the problems recognized in this decade of the brain. This article provides a brief outline of how the findings in the last 20 years of research have led to such a development.

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Metadata

Authors
Basar, E., Basar-Eroglu, C., Karakas, S., & Schurmann, M.
Venue
IEEE Engineering in Medicine and Biology Magazine
Published
1999
Volume
18
Issue
3
Pages
56-66
ISSN
0739-5175 (ISSN-L)
OpenAlex
W2042430824
Cited by
162
References
3
FWCI
2.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Oscillatory brain theory: a new trend in neuroscience. https://app.cochat.ai/papers/10.1109/51.765190
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Basar, E., Basar-Eroglu, C., Karakas, S., & Schurmann, M. (1999). Oscillatory brain theory: a new trend in neuroscience. IEEE Engineering in Medicine and Biology Magazine. https://doi.org/10.1109/51.765190

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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.