The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Temporal interactions between cortical rhythms
Open accessAbstract
Multiple local neuronal circuits support different, discrete frequencies of network rhythm in neocortex. Relationships between different frequencies correspond to mechanisms designed to minimise interference, couple activity via stable phase interactions, and control the amplitude of one frequency relative to the phase of another. These mechanisms are proposed to form a framework for spectral information processing. Individual local circuits can also transform their frequency through changes in intrinsic neuronal properties and interactions with other oscillating microcircuits. Here we discuss a frequency transformation in which activity in two co-active local circuits may combine sequentially to generate a third frequency whose period is the concatenation sum of the original two. With such an interaction, the intrinsic periodicity in each component local circuit is preserved - alternate, single periods of each original rhythm form one period of a new frequency - suggesting a robust mechanism for combining information processed on multiple concurrent spatiotemporal scales.
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Cites
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00047.1995 · Cited by 1,527
Ylinen, A., Bragin, A., Nadasdy, Z., Jando, G., Szabo, I., Sik, A., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00030.1995 · Cited by 1,092
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072 · cited 4×
“If this separation is performed using different frequencies of cortical rhythms then this also imparts a spatial, anatomical scale to activity patterns – it has been shown that rhythms with larger temporal scales (slower frequencies) facilitate interactions (within the synchronisation framework of neuronal assembly fo…”
InfluentialCholinergic induction of network oscillations at 40 Hz in the hippocampus in vitro
Fisahn, A., Pike, F. G., Buhl, E. H., & Paulsen, O. (1998) · Nature · doi:10.1038/28179 · Cited by 884
Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells
Silberberg, G., & Markram, H. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.012 · Cited by 768
concatenation underlies interactions between gamma and beta rhythms in neocortex
Roopun, A. K. (2008) · Frontiers in Cellular Neuroscience · doi:10.3389/neuro.03.001.2008 · Cited by 147
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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
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
Voytek, B., & Knight, R. T. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.04.016 · Cited by 556
Neuronal synchrony reveals working memory networks and predicts individual memory capacity
Palva, J. M., Monto, S., Kulashekhar, S., & Palva, S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913113107 · Cited by 592
Metadata
- Authors
- Roopun, A. K.
- Venue
- frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2008-12-15
- Volume
- 2
- Issue
- 2
- Pages
- 145-154
- ISSN
- 1662-453X (ISSN-L)
- 1662-4548
- OpenAlex
- W2143820103
- Cited by
- 196
- References
- 7
- FWCI
- 6.82
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
