The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Spike train dynamics predicts theta-related phase precession in hippocampal pyramidal cells
Abstract
According to the temporal coding hypothesis, neurons encode information by the exact timing of spikes. An example of temporal coding is the hippocampal phase precession phenomenon, in which the timing of pyramidal cell spikes relative to the theta rhythm shows a unidirectional forward precession during spatial behaviour. Here we show that phase precession occurs in both spatial and non-spatial behaviours. We found that spike phase correlated with instantaneous discharge rate, and processed unidirectionally at high rates, regardless of behaviour. The spatial phase precession phenomenon is therefore a manifestation of a more fundamental principle governing the timing of pyramidal cell discharge. We suggest that intrinsic properties of pyramidal cells have a key role in determining spike times, and that the interplay between the magnitude of dendritic excitation and rhythmic inhibition of the somatic region is responsible for the phase assignment of spikes.
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“Likewise, LTP and LTD, respectively, can result from slight differences in the phase of theta oscillations between pre-and postsynaptic neurons (514).”
From About Sleep's Role in Memory (2013) · cites this paper as [514]
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Cites
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
The hippocampus as a cognitive map
Passingham, R. E. (1979) · Neuroscience · doi:10.1016/0306-4522(79)90015-0 · Cited by 5,128
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463
Statistical Analysis of Circular Data.
LANGE, N. D., & Fisher, N. I. (1995) · Journal of the American Statistical Association · doi:10.2307/2291098 · Cited by 2,155
Statistical Analysis of Circular Data
Fisher, N. I. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511564345 · Cited by 1,826
Synchronization of cortical activity and its putative role in information processing and learning
Singer, W. (1993) · Annual Review of Physiology · doi:10.1146/annurev.ph.55.030193.002025 · Cited by 1,685
Pattern recognition computation using action potential timing for stimulus representation
Hopfield, J. J. (1995) · Nature · doi:10.1038/376033a0 · Cited by 1,154
Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153
Self-citationOscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
Csicsvari, J., Hirase, H., Czurkó, A., Mamiya, A., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00274.1999 · Cited by 966
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Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
“Likewise, LTP and LTD, respectively, can result from slight differences in the phase of theta oscillations between pre- and postsynaptic neurons (514).”
BackgroundNeurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345
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Metadata
- Authors
- Harris, K. D., Henze, D. A., Hirase, H., Leinekugel, X., Dragoi, G., Czurkó, A., & Buzsáki, G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Buzsáki, György
- Venue
- Nature
- Published
- 2002-06
- Volume
- 417
- Issue
- 6890
- Pages
- 738-741
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1991417588
- Cited by
- 398
- References
- 26
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 18 · 2023: 31 · 2022: 12 · 2021: 10 · 2020: 13 · 2019: 10 · 2018: 11 · 2017: 14 · 2016: 11 · 2015: 21 · 2014: 21 · 2013: 22 · 2012: 17
- FWCI
- 9.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- phase precession, hippocampal pyramidal neurons, theta oscillations, temporal coding, spike timing, spatial behavior, somatic inhibition, hippocampus
- MeSH terms
- Action Potentials, Analysis of Variance, Animals, Computer Simulation, Dendrites, Kinetics, Male, Motor Activity, Sleep, REM, Theta Rhythm, Pyramidal Cells, Rats
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