The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.
The Theta-Gamma Neural Code
Open accessAbstract
Theta and gamma frequency oscillations occur in the same brain regions and interact with each other, a process called cross-frequency coupling. Here, we review evidence for the following hypothesis: that the dual oscillations form a code for representing multiple items in an ordered way. This form of coding has been most clearly demonstrated in the hippocampus, where different spatial information is represented in different gamma subcycles of a theta cycle. Other experiments have tested the functional importance of oscillations and their coupling. These involve correlation of oscillatory properties with memory states, correlation with memory performance, and effects of disrupting oscillations on memory. Recent work suggests that this coding scheme coordinates communication between brain regions and is involved in sensory as well as memory processes.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“It should be noted that waking EEG recordings found that theta and gamma oscillations can interact with each other (i.e., cross-frequency coupling) (Canolty et al., 2006; Cohen, 2008; Kramer et al., 2008; Penny et al., 2008; Young and Eggermont, 2009; Tort et al., 2010; Onslow et al., 2011; for a review see Lisman and Jensen, 2013).”
From The Functional Role of Dreaming in Emotional Processes (2019) · cites this paper as Lisman and Jensen, 2013
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
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,559
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
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
High-speed scanning in human memory
Sternberg, S. (1966) · Science · doi:10.1126/science.153.3736.652 · Cited by 3,576
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Flagged first, then by citations
Cited by
Sorted by citations
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Roux, F., & Uhlhaas, P. J. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.10.010 · Cited by 906
Where Does EEG Come From and What Does It Mean?
Cohen, M. X. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.02.004 · Cited by 722
Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re)Activation
Spitzer, B., & Haegens, S. (2017) · eNeuro · doi:10.1523/eneuro.0170-17.2017 · Cited by 667
Untangling cross-frequency coupling in neuroscience
Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., Singer, W., & Vicente, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.002 · Cited by 628
Nasal Respiration Entrains Human Limbic Oscillations and Modulates Cognitive Function
Zelano, C., Jiang, H., Zhou, G., Arora, N., Schuele, S., Rosenow, J., & Gottfried, J. A. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2586-16.2016 · Cited by 599
Theta Oscillations in Human Memory
Herweg, N. A., Solomon, E. A., & Kahana, M. J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.006 · Cited by 605
Hsieh, L.-T., & Ranganath, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.003 · Cited by 525
Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions
Hyafil, A., Giraud, A., Fontolan, L., & Gutkin, B. S. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.09.001 · Cited by 527
A Rhythmic Theory of Attention
Fiebelkorn, I. C., & Kästner, S. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.11.009 · Cited by 514
Theta Phase Segregation of Input-Specific Gamma Patterns in Entorhinal-Hippocampal Networks
Schomburg, E. W., Fernández-Ruiz, A., Mizuseki, K., Berényi, A., Anastassiou, C. A., Koch, C., & Buzsáki, G. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.051 · Cited by 465
Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing
Jensen, O., Gips, B., Bergmann, T. O., & Bonnefond, M. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.04.001 · Cited by 389
Self-citationTheta and Alpha Oscillations Are Traveling Waves in the Human Neocortex
Zhang, H., Watrous, A. J., Patel, A., & Jacobs, J. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.019 · Cited by 396
Alekseichuk, I., Turi, Z., de Lara, G., Antal, A., & Paulus, W. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.035 · Cited by 389
Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum
Hanslmayr, S., Staresina, B. P., & Bowman, H. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2015.11.004 · Cited by 394
Hippocampal theta sequences reflect current goals
Wikenheiser, A. M., & Redish, A. D. (2015) · Nature Neuroscience · doi:10.1038/nn.3909 · Cited by 367
A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention
Fiebelkorn, I. C., Pinsk, M. A., & Kastner, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.038 · Cited by 356
Entorhinal-CA3 Dual-Input Control of Spike Timing in the Hippocampus by Theta-Gamma Coupling
Fernández‐Ruiz, A., Oliva, A., Nagy, G. A., Maurer, A. P., Berényi, A., & Buzsáki, G. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.017 · Cited by 344
Local Entrainment of Alpha Oscillations by Visual Stimuli Causes Cyclic Modulation of Perception
Spaak, E., de Lange, F. P., & Jensen, O. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4385-13.2014 · Cited by 333
Self-citationDistinct inhibitory circuits orchestrate cortical beta and gamma band oscillations
Chen, G., Zhang, Y., Li, X., Zhao, X., Ye, Q., Lin, Y., Tao, H. W., Rasch, M. J., & Zhang, X. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.033 · Cited by 345
Meyer, L. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13748 · Cited by 326
Oscillatory multiplexing of population codes for selective communication in the mammalian brain
Akam, T., & Kullmann, D. M. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3668 · Cited by 327
What does gamma coherence tell us about inter-regional neural communication?
Buzsáki, G., & Schomburg, E. W. (2015) · Nature Neuroscience · doi:10.1038/nn.3952 · Cited by 333
Neuromodulatory Influences on Integration and Segregation in the Brain
Shine, J. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.002 · Cited by 328
Oscillatory Dynamics of Prefrontal Cognitive Control
Helfrich, R. F., & Knight, R. T. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.007 · Cited by 322
The rate of transient beta frequency events predicts behavior across tasks and species
Shin, H., Law, R., Tsutsui, S., Moore, C. I., & Jones, S. R. (2017) · eLife · doi:10.7554/elife.29086 · Cited by 325
Fear and safety engage competing patterns of theta-gamma coupling in the basolateral amygdala
Stujenske, J. M., Likhtik, E., Topiwala, M. A., & Gordon, J. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.026 · Cited by 303
When brain rhythms aren't ‘rhythmic’: implication for their mechanisms and meaning
Jones, S. R. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.010 · Cited by 316
Frontosubthalamic Circuits for Control of Action and Cognition
Aron, A. R., Herz, D. M., Brown, P., Forstmann, B. U., & Zaghloul, K. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2348-16.2016 · Cited by 299
Episodic sequence memory is supported by a theta-gamma phase code
Heusser, A. C., Poeppel, D., Ezzyat, Y., & Davachi, L. (2016) · Nature Neuroscience · doi:10.1038/nn.4374 · Cited by 290
Thalamocortical Dysrhythmia: A Theoretical Update in Tinnitus
Ridder, D. D., Vanneste, S., Langguth, B., & Llinás, R. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00124 · Cited by 290
Communication between Brain Areas Based on Nested Oscillations
Bonnefond, M., Kästner, S., & Jensen, O. B. (2017) · eNeuro · doi:10.1523/eneuro.0153-16.2017 · Cited by 302
Self-citationBocchio, M., Nabavi, S., & Capogna, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.022 · Cited by 265
Inferring Causality from Noninvasive Brain Stimulation in Cognitive Neuroscience
Bergmann, T. O., & Hartwigsen, G. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01591 · Cited by 271
Thalamocortical dysrhythmia detected by machine learning
Vanneste, S., Song, J., & Ridder, D. D. (2018) · Nature Communications · doi:10.1038/s41467-018-02820-0 · Cited by 263
Alia, C., Spalletti, C., Lai, S., Panarese, A., Lamola, G., Bertolucci, F., Vallone, F., Garbo, A. D., Chisari, C., Micera, S., et al. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00076 · Cited by 272
Modulating Human Memory via Entrainment of Brain Oscillations
Hanslmayr, S., Axmacher, N., & Inman, C. S. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.04.004 · Cited by 264
Hippocampal-prefrontal theta-gamma coupling during performance of a spatial working memory task
Tamura, M., Spellman, T., Rosen, A. M., Gogos, J. A., & Gordon, J. A. (2017) · Nature Communications · doi:10.1038/s41467-017-02108-9 · Cited by 261
Nonsinusoidal Beta Oscillations Reflect Cortical Pathophysiology in Parkinson's Disease
Cole, S. R., Peterson, E. J., van der Meij, R., de Hemptinne, C., Starr, P. A., & Voytek, B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2208-16.2017 · Cited by 245
Electrophysiological Brain Connectivity: Theory and Implementation
He, B., Astolfi, L., Valdes-Sosa, P. A., Marinazzo, D., Palva, S., Bénar, C., Michel, C. M., & Koenig, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913928 · Cited by 242
Speech encoding by coupled cortical theta and gamma oscillations
Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. S., & Giraud, A. (2015) · eLife · doi:10.7554/elife.06213 · Cited by 227
Gamma rhythm communication between entorhinal cortex and dentate gyrus neuronal assemblies
Fernández‐Ruiz, A., Oliva, A., Soula, M., Rocha-Almeida, F., Nagy, G. A., Martín-Vázquez, G., & Buzsáki, G. (2021) · Science · doi:10.1126/science.abf3119 · Cited by 238
Theta–gamma coupling in the entorhinal–hippocampal system
Colgin, L. L. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.001 · Cited by 226
The frequency architecture of brain and brain body oscillations: an analysis
Klimesch, W. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14192 · Cited by 250
Bosman, C. A., Lansink, C. S., & Pennartz, C. M. A. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12606 · Cited by 239
Geometry of sequence working memory in macaque prefrontal cortex
Xie, Y., Hu, P., Li, J., Chen, J., Song, W., Wang, X., Yang, T., Dehaene, S., Tang, S., Min, B., et al. (2022) · Science · doi:10.1126/science.abm0204 · Cited by 222
Working Memory Maturation: Can We Get at the Essence of Cognitive Growth?
Cowan, N. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691615621279 · Cited by 225
“There is evidence that there indeed may be a processing cycle within which some kind of refreshing may operate (Fiebelkorn, Saalmann, & Kastner, 2013; Lisman & Jensen, 2013; M. Siegel, Warden, & Miller, 2009), but there is as yet little developmental evidence related to this alternative.”
BackgroundOscillatory dynamics coordinating human frontal networks in support of goal maintenance
Voytek, B., Kayser, A. S., Badre, D., Fegen, D., Chang, E. F., Crone, N. E., Parvizi, J., Knight, R. T., & D’Esposito, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4071 · Cited by 229
Hanslmayr, S., & Staudigl, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.121 · Cited by 231
Pernía‐Andrade, A. J., & Jónás, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.046 · Cited by 227
Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition
Solomon, E. A., Kragel, J. E., Sperling, M. R., Sharan, A., Worrell, G., Kucewicz, M., Inman, C. S., Lega, B., Davis, K. A., Stein, J. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01763-2 · Cited by 221
A predictive coding framework for rapid neural dynamics during sentence-level language comprehension
Lewis, A., & BASTIAANSEN, M. C. M. (2015) · Cortex · doi:10.1016/j.cortex.2015.02.014 · Cited by 226
Basic and functional effects of transcranial Electrical Stimulation (tES)—An introduction
Yavari, F., Jamil, A., Mosayebi-Samani, M., Vidor, L. P., & Nitsche, M. A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.06.015 · Cited by 242
Supervised learning in spiking neural networks with FORCE training
Nicola, W., & Clopath, C. (2017) · Nature Communications · doi:10.1038/s41467-017-01827-3 · Cited by 214
Hramov, A. E., Александрович, М. В., & Pisarchik, A. N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.03.002 · Cited by 228
Hülsemann, M., nat, D. R., Naumann, E., nat, D. R., & Rasch, B. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00573 · Cited by 205
Boosting vocabulary learning by verbal cueing during sleep
Schreiner, T., & Rasch, B. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu139 · Cited by 202
Fukunaga, I., Herb, J. T., Köllő, M., Boyden, E. S., & Schaefer, A. T. (2014) · Nature Neuroscience · doi:10.1038/nn.3760 · Cited by 200
Bezaire, M. J., Raikov, I., Burk, K., Vyas, D., & Soltesz, I. (2016) · eLife · doi:10.7554/elife.18566 · Cited by 198
Theta-Gamma Coupling and Working Memory in Alzheimer’s Dementia and Mild Cognitive Impairment
Goodman, M. S., Kumar, S., Zomorrodi, R., Ghazala, Z., Cheam, A., Barr, M. S., Daskalakis, Z. J., Blumberger, D. M., Fischer, C. E., Flint, A. J., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00101 · Cited by 216
Organization of prefrontal network activity by respiration-related oscillations
Biskamp, J., Bartos, M., & Sauer, J.-F. (2017) · Scientific Reports · doi:10.1038/srep45508 · Cited by 197
Krystal, J. H., Anticevic, A., Yang, G., Dragoi, G., Driesen, N. R., Wang, X., & Murray, J. D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.01.004 · Cited by 201
Perea, G., Gómez, R., Mederos, S., Covelo, A., Ballesteros, J. J., Schlosser, L., Hernández-Vivanco, A., Martín-Fernández, M., Quintana, R., Rayan, A., et al. (2016) · eLife · doi:10.7554/elife.20362 · Cited by 194
Entrainment of Prefrontal Beta Oscillations Induces an Endogenous Echo and Impairs Memory Formation
Hanslmayr, S., Matuschek, J., & Fellner, M.-C. (2014) · Current Biology · doi:10.1016/j.cub.2014.03.007 · Cited by 193
Amygdala–prefrontal interactions in (mal)adaptive learning
Likhtik, E., & Paz, R. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.12.007 · Cited by 198
Vosskuhl, J., Huster, R. J., & Herrmann, C. S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00257 · Cited by 204
The Functional Role of Dreaming in Emotional Processes
Scarpelli, S., Bartolacci, C., D'Atri, A., Gorgoni, M., & De Gennaro, L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00459 · Cited by 190
Grover, S., Wen, W., Viswanathan, V., Gill, C. T., & Reinhart, R. M. G. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01132-3 · Cited by 187
Subsequent memory effect in intracranial and scalp EEG
Long, N. M., Burke, J. F., & Kahana, M. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.052 · Cited by 179
Szczepanski, S. M., Crone, N. E., Kuperman, R. A., Auguste, K. I., Parvizi, J., & Knight, R. T. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001936 · Cited by 183
Shine, J. M., Aburn, M. J., Breakspear, M. J., & Poldrack, R. A. (2018) · eLife · doi:10.7554/elife.31130 · Cited by 183
Slow Oscillations in the Mouse Hippocampus Entrained by Nasal Respiration
Yanovsky, Y., Ciatipis, M., Draguhn, A., Tort, A. B. L., & Brankačk, J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5287-13.2014 · Cited by 175
A review of theta oscillation and its functional correlates
Karakaş, S. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.04.008 · Cited by 196
Decay Theory of Immediate Memory: From Brown (1958) to Today (2014)
Ricker, T. J., Vergauwe, E., & Cowan, N. (2014) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2014.914546 · Cited by 165
A Neural Chronometry of Memory Recall
Staresina, B. P., & Wimber, M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.09.011 · Cited by 177
Oscillatory Control over Representational States in Working Memory
de Vries, I. E. J., Slagter, H. A., & Olivers, C. N. L. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.11.006 · Cited by 168
The Theta Rhythm of the Hippocampus: From Neuronal and Circuit Mechanisms to Behavior
Núñez, Á., & Buño, W. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.649262 · Cited by 183
Control of working memory by phase–amplitude coupling of human hippocampal neurons
Daume, J., Kamiński, J., Gómez-Palacio-Schjetnan, A., Salimpour, Y., Khan, U., Kyzar, M., Reed, C. M., Anderson, W. S., Valiante, T. A., Mamelak, A. N., et al. (2024) · Nature · doi:10.1038/s41586-024-07309-z · Cited by 187
Cadinu, D., Grayson, B., Podda, G., Harte, M., Doostdar, N., & Neill, J. C. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.11.045 · Cited by 169
Layer-Specific GABAergic Control of Distinct Gamma Oscillations in the CA1 Hippocampus
Lasztóczi, B., & Klausberger, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.021 · Cited by 176
Long-Range Neural Synchrony in Behavior
Harris, A. Z., & Gordon, J. A. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034111 · Cited by 168
Self-Organized Criticality in the Brain
Plenz, D., Ribeiro, T. L., Miller, S. R., Kells, P. A., Vakili, A., & Capek, E. L. (2021) · Frontiers in Physics · doi:10.3389/fphy.2021.639389 · Cited by 185
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Zhang, H., Zhou, Q.-Q., Chen, H., Hu, X., Li, W., Bai, Y., Han, J., Wang, Y., Liang, Z., Chen, D., et al. (2023) · Military Medical Research · doi:10.1186/s40779-023-00502-7 · Cited by 197
The what, where and how of delay activity
Sreenivasan, K. K., & D’Esposito, M. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0176-7 · Cited by 168
Spatial Sequence Coding Differs during Slow and Fast Gamma Rhythms in the Hippocampus
Zheng, C., Bieri, K. W., Hsiao, Y., & Colgin, L. L. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.005 · Cited by 171
GABAergic signaling to astrocytes in the prefrontal cortex sustains goal-directed behaviors
Mederos, S., Sánchez‐Puelles, C., Esparza, J., Valero, M., Ponomarenko, A. A., & Perea, G. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00752-x · Cited by 169
Propagating Neocortical Gamma Bursts Are Coordinated by Traveling Alpha Waves
Bahramisharif, A., van Gerven, M. A. J., Aarnoutse, E. J., Mercier, M. R., Schwartz, T. H., Foxe, J. J., Ramsey, N. F., & Jensen, O. B. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2455-13.2013 · Cited by 158
Self-citationVoloh, B., Valiante, T. A., Everling, S., & Womelsdorf, T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500438112 · Cited by 157
Tan, E., Troller‐Renfree, S. V., Morales, S., Buzzell, G. A., McSweeney, M., Antúnez, M., & Fox, N. A. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101404 · Cited by 193
Low-Frequency Neural Oscillations Support Dynamic Attending in Temporal Context
Henry, M. J., & Herrmann, B. (2013) · Timing & Time Perception · doi:10.1163/22134468-00002011 · Cited by 168
Griffiths, B., Parish, G., Roux, F., Michelmann, S., van der Plas, M., Kolibius, L. D., Chelvarajah, R., Rollings, D. T., Sawlani, V., Hamer, H. M., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914180116 · Cited by 166
Over and above frequency: Gamma oscillations as units of neural circuit operations
Fernández‐Ruiz, A., Sirota, A., Lopes‐dos‐Santos, V., & Dupret, D. (2023) · Neuron · doi:10.1016/j.neuron.2023.02.026 · Cited by 178
The hippocampus, time, and memory across scales.
Howard, M. W., & Eichenbaum, H. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0033621 · Cited by 163
Hippocampal theta codes for distances in semantic and temporal spaces
Solomon, E. A., Lega, B. C., Sperling, M. R., & Kahana, M. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906729116 · Cited by 149
Rethinking retrosplenial cortex: Perspectives and predictions
Alexander, A. S., Place, R., Starrett, M. J., Chrastil, E. R., & Nitz, D. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.11.006 · Cited by 176
Pavone, E. F., Tieri, G., Rizza, G., Tidoni, E., Grisoni, L., & Aglioti, S. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0494-15.2016 · Cited by 146
On cross-frequency phase-phase coupling between theta and gamma oscillations in the hippocampus
Scheffer-Teixeira, R., & Tort, A. B. L. (2016) · eLife · doi:10.7554/elife.20515 · Cited by 155
Chung, S. W., Rogasch, N. C., Hoy, K. E., Sullivan, C. M., Cash, R. F. H., & Fitzgerald, P. B. (2017) · Human Brain Mapping · doi:10.1002/hbm.23882 · Cited by 155
Finding the answer in space: the mental whiteboard hypothesis on serial order in working memory
Abrahamse, E. L., van Dijck, J., Majerus, S., & Fias, W. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00932 · Cited by 153
Ahmad, J., Ellis, C. L., Leech, R., Voytek, B., Garcés, P., Jones, E. J. H., Buitelaar, J. K., Loth, E., dos Santos, F. P., Amil, A. F., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02218-z · Cited by 181
Metadata
- Authors
- Lisman, J. E., & Jensen, O.
- Affiliations
- Brandeis University (US)
- Radboud University Nijmegen (NL)
- Corresponding author
- Lisman, John E.
- Jensen, Ole
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 77
- Issue
- 6
- Pages
- 1002-1016
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3648857
- OpenAlex
- W1976804176
- Cited by
- 1,609
- References
- 197
- Citations by year
- 2026: 164 · 2025: 181 · 2024: 134 · 2023: 123 · 2022: 136 · 2021: 140 · 2020: 119 · 2019: 120 · 2018: 102 · 2017: 114 · 2016: 96 · 2015: 86 · 2014: 69 · 2013: 25
- FWCI
- 7.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 384 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- National Institute on Drug Abuse
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (453-09-002)
- National Institutes of Health (5R01MH086518)
- National Institute of Mental Health (1R01DA027807)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- theta oscillations, gamma oscillations, cross-frequency coupling, neural coding, hippocampus, spatial memory, memory states, memory performance, interregional communication, sensory processing
- MeSH terms
- Animals, Hippocampus, Humans, Memory, Neural Pathways, Theta Rhythm, Brain Waves
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