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The Theta-Gamma Neural Code
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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.
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“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
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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
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Gamma oscillations and episodic memory
Griffiths, B., & Jensen, O. B. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.07.003 · Cited by 85
Self-citationTseng, P. H., Iu, K.-C., & Juan, C.-H. (2018) · Scientific Reports · doi:10.1038/s41598-017-18449-w · Cited by 81
Different coupling modes mediate cortical cross-frequency interactions
Helfrich, R. F., Herrmann, C. S., Engel, A. K., & Schneider, T. R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.035 · Cited by 84
Theta and Alpha Oscillation Impairments in Autistic Spectrum Disorder Reflect Working Memory Deficit
Larraín-Valenzuela, J., Zamorano, F. J., Soto‐Icaza, P., Carrasco, X., Herrera, C., Daiber, F., Aboitiz, F., & Billeke, P. B. (2017) · Scientific Reports · doi:10.1038/s41598-017-14744-8 · Cited by 87
Recognition memory and theta–gamma interactions in the hippocampus
Trimper, J. B., Stefanescu, R. A., & Manns, J. R. (2013) · Hippocampus · doi:10.1002/hipo.22228 · Cited by 79
Ortiz‐Mantilla, S., Hämäläinen, J. A., Realpe-Bonilla, T., & BENASICH, A. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1162-16.2016 · Cited by 83
Multiscale memory and bioelectric error correction in the cytoplasm–cytoskeleton‐membrane system
Fields, C., & Levin, M. G. (2017) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1410 · Cited by 76
Coherent resonance in the distributed cortical network during sensory information processing
Pisarchik, A. N., Maksimenko, V., Andreev, A. V., Frolov, N. S., Makarov, V. V., Zhuravlev, M. О., Евгеньевна, Р. А., & Hramov, A. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-54577-1 · Cited by 78
Chung, H., Park, K., Jang, H. J., Kohl, M. M., & Kwag, J. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02044-3 · Cited by 85
The brain dynamics of linguistic computation
Murphy, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01515 · Cited by 84
A θ–γ Oscillation Code for Neuronal Coordination during Motor Behavior
Igarashi, J., Isomura, Y., Arai, K., Harukuni, R., & Fukai, T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2126-13.2013 · Cited by 82
Zheng, C., Bieri, K. W., Trettel, S. G., & Colgin, L. L. (2015) · Hippocampus · doi:10.1002/hipo.22415 · Cited by 79
Eschmann, K. C. J., Bader, R., & Mecklinger, A. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.02.002 · Cited by 78
Jensen, M. P., Ehde, D. M., & Day, M. A. (2016) · The Journal of Pain · doi:10.1016/j.jpain.2016.02.001 · Cited by 77
López‐Madrona, V. J., Pérez-Montoyo, E., Álvarez-Salvado, E., Moratal, D., Herreras, Ó., Pereda, E., Mirasso, C. R., & Canals, S. (2020) · eLife · doi:10.7554/elife.57313 · Cited by 80
Multivariate cross-frequency coupling via generalized eigendecomposition
Cohen, M. X. (2017) · eLife · doi:10.7554/elife.21792 · Cited by 72
Kunz, L., Wang, L., Piza, D. L., Zhang, H., Brandt, A., Dümpelmann, M., Reinacher, P. C., Coenen, V. A., Chen, D., Wang, W.-X., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav8192 · Cited by 73
Binding by random bursts: a computational model of cognitive control
Verguts, T. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01117 · Cited by 76
Sinha, M., & Narayanan, R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419017112 · Cited by 79
Theta-gamma phase-phase coupling during working memory maintenance in the human hippocampus
Chaieb, L., Leszczyński, M., Axmacher, N., Derner, M., Elger, C. E., & Fell, J. (2015) · Cognitive Neuroscience · doi:10.1080/17588928.2015.1058254 · Cited by 76
Prefrontal cortex and cognitive control: new insights from human electrophysiology
Widge, A. S., Heilbronner, S. R., & Hayden, B. Y. (2019) · F1000Research · doi:10.12688/f1000research.20044.1 · Cited by 78
Music Training, Working Memory, and Neural Oscillations: A Review
Yurgil, K. A., Velásquez, M. A., Winston, J. L., Reichman, N. B., & Colombo, P. J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00266 · Cited by 92
Electrophysiological signatures of memory reactivation in humans
Schreiner, T., & Staudigl, T. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0293 · Cited by 87
Increasing human motor skill acquisition by driving theta–gamma coupling
Akkad, H., Dupont-Hadwen, J., Kane, E., Evans, C., Barrett, L., Frese, A., Tetkovic, I., Bestmann, S., & Stagg, C. J. (2021) · eLife · doi:10.7554/elife.67355 · Cited by 74
Non-linear auto-regressive models for cross-frequency coupling in neural time series
la Tour, T. D., Tallot, L., Grabot, L., Doyère, V., van Wassenhove, V., Grenier, Y., & Gramfort, A. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005893 · Cited by 81
Do sensorimotor β-oscillations maintain muscle synergy representations in primary motor cortex?
Aumann, T. D., & Prut, Y. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.12.002 · Cited by 81
Reduced Theta Connectivity during Set-Shifting in Children with Autism
Doesburg, S. M., Vidal, J., & Taylor, M. J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00785 · Cited by 81
Babapoor-Farrokhran, S., Vinck, M. A., Womelsdorf, T., & Everling, S. (2017) · Nature Communications · doi:10.1038/ncomms13967 · Cited by 74
Bygrave, A. M., Jahans-Price, T., Wolff, A. R., Sprengel, R., Kullmann, D. M., Bannerman, D. M., & Kätzel, D. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0471-0 · Cited by 73
Stable maintenance of multiple representational formats in human visual short-term memory
Liu, J., Zhang, H., Yu, T., Ni, D., Ren, L., Yang, Q., Lu, B., Wang, D., Heinen, R. M., Axmacher, N., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006752117 · Cited by 75
Trisecting representational states in short-term memory
Nee, D. E., & Jonides, J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00796 · Cited by 71
Top-down and Bottom-up Regulated Auditory Phantom Perception
Vanneste, S., Alsalman, O. A., & Ridder, D. D. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0966-18.2018 · Cited by 72
Pattern separation of spiketrains in hippocampal neurons
Madar, A. D., Ewell, L. A., & Jones, M. V. (2019) · Scientific Reports · doi:10.1038/s41598-019-41503-8 · Cited by 78
Theta-phase dependent neuronal coding during sequence learning in human single neurons
Reddy, L., Self, M. W., Zoefel, B., Poncet, M., Possel, J. K., Peters, J. C., Baayen, J. C., Idema, S., VanRullen, R., & Roelfsema, P. R. (2021) · Nature Communications · doi:10.1038/s41467-021-25150-0 · Cited by 78
Brændholt, M., Kluger, D. S., Varga, S., Heck, D. H., Groß, J., & Allen, M. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105262 · Cited by 85
Degeneracy in hippocampal physiology and plasticity
Rathour, R. K., & Narayanan, R. (2019) · Hippocampus · doi:10.1002/hipo.23139 · Cited by 78
Oscillations, Timing, Plasticity, and Learning in the Cerebellum
Cheron, G. A., Márquez‐Ruiz, J., & Dan, B. (2015) · The Cerebellum · doi:10.1007/s12311-015-0665-9 · Cited by 74
Ordering Information in Working Memory and Modulation of Gamma by Theta Oscillations in Humans
Rajji, T. K., Zomorrodi, R., Barr, M. S., Blumberger, D. M., Mulsant, B. H., & Daskalakis, Z. J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv326 · Cited by 73
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models
Segneri, M., Bi, H., Olmi, S., & Torcini, A. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00047 · Cited by 73
The beneficial role of memory reactivation for language learning during sleep: A review
Schreiner, T., & Rasch, B. (2016) · Brain and Language · doi:10.1016/j.bandl.2016.02.005 · Cited by 78
Kessler, K., Seymour, R. A., & Rippon, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.002 · Cited by 69
Phase precession: a neural code underlying episodic memory?
Jaramillo, J., & Kempter, R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.006 · Cited by 63
Discriminating Valid from Spurious Indices of Phase-Amplitude Coupling
Jensen, O. B., Spaak, E., & Park, H. (2016) · eNeuro · doi:10.1523/eneuro.0334-16.2016 · Cited by 72
Self-citationLocating the engram: Should we look for plastic synapses or information-storing molecules?
Langille, J. J., & Gallistel, C. R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107164 · Cited by 70
Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
Maksimenko, V., Frolov, N. S., Hramov, A. E., Евгеньевна, Р. А., Grubov, V., Kurths, J., & Pisarchik, A. N. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00220 · Cited by 68
Griffiths, B., Martín-Buro, M. C., Staresina, B. P., & Hanslmayr, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118454 · Cited by 64
Causal Evidence for the Role of Neuronal Oscillations in Top–Down and Bottom–Up Attention
Riddle, J., Hwang, K., Cellier, D., Dhanani, S., & D’Esposito, M. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01376 · Cited by 77
Binaural Beats through the Auditory Pathway: From Brainstem to Connectivity Patterns
Perez, H. D. O., Dumas, G., & Lehmann, A. (2020) · eNeuro · doi:10.1523/eneuro.0232-19.2020 · Cited by 67
Fronto-medial theta coordinates posterior maintenance of working memory content
Ratcliffe, O., Shapiro, K. L., & Staresina, B. P. (2022) · Current Biology · doi:10.1016/j.cub.2022.03.045 · Cited by 66
Andrade‐Talavera, Y., Fisahn, A., & Moreno, A. R. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02027-w · Cited by 74
Areas V1 and V2 show microsaccade‐related 3–4‐Hz covariation in gamma power and frequency
Lowet, E., Roberts, M. J., Bosman, C. A., Fries, P., & Weerd, P. D. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13126 · Cited by 66
Arena, A., Comolatti, R., Thon, S., Casali, A. G., & Storm, J. F. (2021) · eneuro · doi:10.1523/eneuro.0343-20.2021 · Cited by 66
Dumas, G., Moreau, Q., Tognoli, E., & Kelso, J. A. S. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz308 · Cited by 73
The Sleep Side of Aging and Alzheimer’s Disease
Romanella, S. M., Roe, D., Tatti, E., Cappon, D., Paciorek, R., Testani, E., Rossi, A., Rossi, S., & Santarnecchi, E. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.05.029 · Cited by 72
The role of the anterior nuclei of the thalamus in human memory processing
Sweeney‐Reed, C. M., Buentjen, L., Voges, J., Schmitt, F. C., Zaehle, T., Kam, J. W. Y., Kaufmann, J., Heinze, H., Hinrichs, H., Knight, R. T., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.046 · Cited by 66
Flexible modulation of sequence generation in the entorhinal–hippocampal system
McNamee, D., Stachenfeld, K., Botvinick, M., & Gershman, S. J. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00831-7 · Cited by 69
Do temporal processes underlie left hemisphere dominance in speech perception?
Scott, S. K., & McGettigan, C. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.07.006 · Cited by 67
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Brovelli, A., Chicharro, D., Badier, J., Wang, H., & Jirsa, V. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4892-14.2015 · Cited by 61
Rigor and replication in time-frequency analyses of cognitive electrophysiology data
Cohen, M. X. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.02.001 · Cited by 65
Perturbation of theta-gamma coupling at the temporal lobe hinders verbal declarative memory
de Lara, G., Alekseichuk, I., Turi, Z., Lehr, A., Antal, A., & Paulus, W. (2017) · Brain stimulation · doi:10.1016/j.brs.2017.12.007 · Cited by 67
Is conscious perception a series of discrete temporal frames?
White, P. A. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.02.012 · Cited by 70
Murphy, E., & Benítez‐Burraco, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.029 · Cited by 66
Smit, D. J. A., Wright, M. J., Meyers, J. L., Martin, N. G., Ho, Y. Y. W., Malone, S. M., Zhang, J., Burwell, S. J., Chorlian, D. B., de Geus, E. J. C., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24238 · Cited by 65
Rodriguez‐Larios, J., & Alaerts, K. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2919-18.2019 · Cited by 64
Lowet, E., Roberts, M. J., Hadjipapas, A., Peter, A., van der Eerden, J. P. J. M., & Weerd, P. D. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004072 · Cited by 65
Sami, S. A. K., Williams, N., Hughes, L. E., Cope, T., Rittman, T., Coyle-Gilchrist, I. T. S., Henson, R. N., & Rowe, J. B. (2018) · Brain · doi:10.1093/brain/awy180 · Cited by 61
Measuring transient phase-amplitude coupling using local mutual information
Martínez-Cancino, R., Heng, J., Arnaud Delorme, A., Kreutz-Delgado, K., Sotero, R. C., & Makeig, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.034 · Cited by 64
Memory systems 2018 – Towards a new paradigm
Ferbinteanu, J. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.11.005 · Cited by 75
The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind
Kelso, J. A. S. (2021) · Biological Cybernetics · doi:10.1007/s00422-021-00890-w · Cited by 74
Radwan, B., Dvorak, D., & Fenton, A. A. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.01.003 · Cited by 63
Memory entrainment by visually evoked theta-gamma coupling
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Sylvester, S., Sagehorn, M., Gruber, T., Atzmueller, M., & Schöne, B. (2024) · Behavior Research Methods · doi:10.3758/s13428-023-02335-7 · Cited by 68
Dynamic modulation of theta–gamma coupling during rapid eye movement sleep
Bandarabadi, M., Boyce, R., Herrera, C. G., Bassetti, C. L., Williams, S., Schindler, K. A., & Adamantidis, A. (2019) · SLEEP · doi:10.1093/sleep/zsz182 · Cited by 75
Billeke, P. B., Ossandón, T., Perrone‐Bertolotti, M., Kahane, P., Bastin, J., Jerbi, K., Lachaux, J.-P., & Fuentealba, P. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa017 · Cited by 61
Gamma band oscillations in the early phase of psychosis: A systematic review
Reilly, T. J., Nottage, J. F., Studerus, E., Rutigliano, G., Micheli, A. D., Fusar‐Poli, P., & McGuire, P. K. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.006 · Cited by 64
Prefrontal theta modulates sensorimotor gamma networks during the reorienting of attention
Spooner, R. K., Wiesman, A. I., Proskovec, A. L., Heinrichs‐Graham, E., & Wilson, T. W. (2019) · Human Brain Mapping · doi:10.1002/hbm.24819 · Cited by 62
The Control of Movements via Motor Gamma Oscillations
Ulloa, J. L. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.787157 · Cited by 69
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Florez, C. M., McGinn, R. J., Lukankin, V., Marwa, I., Sugumar, S., Dian, J. A., Hazrati, L., Carlen, P. L., Zhang, L., & Valiante, T. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht235 · Cited by 62
A common short-term memory retrieval rate may describe many cognitive procedures
Vergauwe, E., & Cowan, N. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00126 · Cited by 60
Targeting neural oscillations with transcranial alternating current stimulation
Riddle, J., & Frӧhlich, F. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147491 · Cited by 61
Ridder, D. D., Congedo, M., & Vanneste, S. (2015) · Brain and Behavior · doi:10.1002/brb3.331 · Cited by 61
Naro, A., Bramanti, P., Leo, A., Russo, M., & Calabrò, R. S. (2016) · Brain Topography · doi:10.1007/s10548-016-0489-z · Cited by 61
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Colgin, L. L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0741-19.2019 · Cited by 62
Anxiety-Like Behavioural Inhibition Is Normative under Environmental Threat-Reward Correlations
Bach, D. R. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004646 · Cited by 62
Theta-gamma coupling binds visual perceptual features in an associative memory task
Köster, M., Finger, H., Graetz, S., Kater, M., & Gruber, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-35812-7 · Cited by 66
Chronic pain as a brain imbalance between pain input and pain suppression
Vanneste, S., & Ridder, D. D. (2021) · Brain Communications · doi:10.1093/braincomms/fcab014 · Cited by 60
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Watrous, A. J., & Ekstrom, A. D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00075 · Cited by 65
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Miller, P. C. (2016) · F1000Research · doi:10.12688/f1000research.7698.1 · Cited by 61
Vidyasagar, T. R. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.02.009 · Cited by 59
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Bott, J.-B., Muller, M., Jackson, J., Aubert, J., Cassel, J., Mathis, C., & Goutagny, R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv177 · Cited by 59
The impact of age and sex on the oscillatory dynamics of visuospatial processing
Wiesman, A. I., & Wilson, T. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.036 · Cited by 58
Hexadirectional Modulation of Theta Power in Human Entorhinal Cortex during Spatial Navigation
Chen, D., Kunz, L., Wang, W., Zhang, H., Wang, W.-X., Schulze‐Bonhage, A., Reinacher, P. C., Zhou, W., Liang, S., Axmacher, N., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.08.029 · Cited by 63
Dynamic connectivity modulates local activity in the core regions of the default-mode network
Tang, W., Liu, H., Douw, L., Kramer, M., Eden, U. T., Hämäläinen, M., & Stufflebeam, S. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1702027114 · Cited by 56
Musaeus, C. S., Nielsen, M. S., Musaeus, J. S., & Høgh, P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00790 · Cited by 57
What neural oscillations can and cannot do for syntactic structure building
Kazanina, N., & Tavano, A. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00659-5 · Cited by 59
Fries, P. (2023) · Neuron · doi:10.1016/j.neuron.2023.02.015 · Cited by 57
Five methodological challenges in cognitive electrophysiology
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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
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