The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Neuronal Gamma-Band Synchronization as a Fundamental Process in Cortical Computation
Abstract
Neuronal gamma-band synchronization is found in many cortical areas, is induced by different stimuli or tasks, and is related to several cognitive capacities. Thus, it appears as if many different gamma-band synchronization phenomena subserve many different functions. I argue that gamma-band synchronization is a fundamental process that subserves an elemental operation of cortical computation. Cortical computation unfolds in the interplay between neuronal dynamics and structural neuronal connectivity. A core motif of neuronal connectivity is convergence, which brings about both selectivity and invariance of neuronal responses. However, those core functions can be achieved simultaneously only if converging neuronal inputs are functionally segmented and if only one segment is selected at a time. This segmentation and selection can be elegantly achieved if structural connectivity interacts with neuronal synchronization. I propose that this process is at least one of the fundamental functions of gamma-band synchronization, which then subserves numerous higher cognitive functions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Increases in temporal precision and synchronization, on a millisecond time scale, of interacting networks of neurons can dramatically increase the efficacy of interneuronal communication”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Fries, 2009
In the citing paper
“The pattern of impairment is consistent with the view that gamma-band activity is constitutive for normal cortical functions”
From Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks (2012) · cites this paper as Fries, 2009
In the citing paper
“This phenomenon depends critically on E/I balance and is thought to provide a temporal code that underpins coherent perception, thought, and action (the “binding problem”), which has now been observed within and between distributed brain structures during rest, encoding, and higher-order cognition.[54][55][56]”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [56]
Citations
Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
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
Self-citationGray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Visual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,217
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Self-citationHigh Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
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
Coherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Cited by
Sorted by citations
MEG and EEG data analysis with MNE-Python
Gramfort, A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00267 · Cited by 3,882
Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953
Self-citationMechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
“, a rhythm likewise thought to favor neuronal encoding and spike time-dependent plastic processes (173, 242, 420), with the theta-phase coupling of such faster oscillations differing between phasic and tonic REM periods (133).”
BackgroundFrontal theta as a mechanism for cognitive control
Cavanagh, J. F., & Frank, M. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.012 · Cited by 2,726
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725
Self-citationAbnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120
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
MNE software for processing MEG and EEG data
Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C. J., Parkkonen, L. T., & Hämäläinen, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.027 · Cited by 2,035
Context-dependent computation by recurrent dynamics in prefrontal cortex
Mante, V., Sussillo, D., Shenoy, K. V., & Newsome, W. T. (2013) · Nature · doi:10.1038/nature12742 · Cited by 1,910
Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., & Pennartz, C. M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.055 · Cited by 1,753
Top-down modulation: bridging selective attention and working memory
Gazzaley, A., & Nobre, A. C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.014 · Cited by 1,404
Spectral fingerprints of large-scale neuronal interactions
Siegel, M., Donner, T. H., & Engel, A. K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3137 · Cited by 1,295
Large-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113
Raichle, M. E. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.008 · Cited by 1,111
van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918
EEG and MEG: Relevance to Neuroscience
Lopes da Silva, F. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.017 · Cited by 900
Hippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889
Harris, K. D., & Thiele, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3084 · Cited by 915
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846
Thalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“Increases in temporal precision and synchronization, on a millisecond time scale, of interacting networks of neurons can dramatically increase the efficacy of interneuronal communication (reviewed by (Ainsworth et al., 2012; Fries, 2009)).”
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition
Martorell, A. J., Paulson, A. L., Suk, H.-J., Abdurrob, F., Drummond, G. T., Guan, W., Young, J. Z., Kim, D. N.-W., Kritskiy, O., Barker, S. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.014 · Cited by 798
Scale-free brain activity: past, present, and future
He, B. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.003 · Cited by 827
Attentional stimulus selection through selective synchronization between monkey visual areas
Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720
Self-citationDynamic Coding for Cognitive Control in Prefrontal Cortex
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.039 · Cited by 711
High-Frequency Brain Activity and Muscle Artifacts in MEG/EEG: A Review and Recommendations
Muthukumaraswamy, S. D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00138 · Cited by 697
Mather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695
Raichle, M. E. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0019 · Cited by 672
Carlén, M., Meletis, K., Siegle, J. H., Cardin, J. A., Futai, K., Vierling-Claassen, D., Rühlmann, C., Jones, S. R., Deisseroth, K., Sheng, M., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.31 · Cited by 669
Attention Samples Stimuli Rhythmically
Landau, A. N., & Fries, P. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.054 · Cited by 594
Self-citationNeuronal 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 612
Mechanisms of deep brain stimulation
Herrington, T. M., Cheng, J. J., & Eskandar, E. N. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00281.2015 · Cited by 551
Quantum Models of Cognition and Decision
Busemeyer, J. R., Wang, Z., & Pothos, E. (2015) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199957996.013.17 · Cited by 550
Neural synchrony and the development of cortical networks
Uhlhaas, P. J., Roux, F., Rodriguez, E., Rotarska-Jagiela, A., & Singer, W. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.12.002 · Cited by 532
Uhlhaas, P. J., & Singer, W. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.004 · Cited by 512
GABAergic interneuron origin of schizophrenia pathophysiology
Nakazawa, K., Zsiros, V., Jiang, Z., Nakao, K., Kolata, S., Zhang, S., & Belforte, J. E. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.01.022 · Cited by 498
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
Alterations in Cortical Network Oscillations and Parvalbumin Neurons in Schizophrenia
Gonzalez-Burgos, G., Cho, R. Y., & Lewis, D. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.010 · Cited by 497
A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule
Ercsey-Ravasz, M., Markov, N. T., Lamy, C., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.036 · Cited by 487
The pairwise phase consistency: A bias-free measure of rhythmic neuronal synchronization
Vinck, M. A., van Wingerden, M., Womelsdorf, T., Fries, P., & Pennartz, C. M. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.073 · Cited by 511
Self-citationA 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
Functional Roles of Alpha-Band Phase Synchronization in Local and Large-Scale Cortical Networks
Palva, S., & Palva, J. M. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00204 · Cited by 503
Neural mechanisms of selective visual attention.
Moore, T., & Zirnsak, M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033400 · Cited by 471
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471
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
Serotonin modulation of cortical neurons and networks
Celada, P., Puig, M. V., & Artigas, F. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00025 · Cited by 462
“During wakefulness, cortical alpha (10–14 Hz) and gamma (30–80 Hz) waves correlate with the modulation of attention, memory, and learning (Fries et al., 2001; Jensen et al., 2002; Ward, 2003; Buschman and Miller, 2007; Fries, 2009; Siegel et al., 2009; Benchenane et al., 2011; Bollimunta et al., 2011; Puig and Miller,…”
BackgroundScheeringa, R., Fries, P., Petersson, K. M., Oostenveld, R., Grothe, I., Norris, D. G., Peter Hagoort, A., & BASTIAANSEN, M. C. M. (2011) · Neuron · doi:10.1016/j.neuron.2010.11.044 · Cited by 479
Self-citationPrefrontal Parvalbumin Neurons in Control of Attention
Kim, H., Ährlund‐Richter, S., Wang, X., Deisseroth, K. A., & Carlén, M. (2016) · Cell · doi:10.1016/j.cell.2015.11.038 · Cited by 466
A role for synaptic plasticity in the adolescent development of executive function
Selemon, L. D. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.7 · Cited by 439
“Furthermore, mGluR LTD at postsynaptic sites in the hippocampus has been associated with large spines containing an abundance of AMPAR.128 Unlike the hippocampus where large mushroom spines are in the majority, thin, filopodial spines predominate in the PFC.129 Thus, strong evidence for mGluR in plasticity related to…”
BackgroundInfluentialMechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437
Coordination of entorhinal–hippocampal ensemble activity during associative learning
Igarashi, K. M., Lu, L., Colgin, L. L., Moser, M., & Moser, E. I. (2014) · Nature · doi:10.1038/nature13162 · Cited by 457
Differences in Gamma Frequencies across Visual Cortex Restrict Their Possible Use in Computation
Ray, S., & Maunsell, J. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.004 · Cited by 436
Serotonin and Prefrontal Cortex Function: Neurons, Networks, and Circuits
Puig, M. V., & Gulledge, A. T. (2011) · Molecular Neurobiology · doi:10.1007/s12035-011-8214-0 · Cited by 421
The role of prefrontal cortex in working memory: a mini review
Lara, A. H., & Wallis, J. D. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00173 · Cited by 402
Disinhibition, a Circuit Mechanism for Associative Learning and Memory
Letzkus, J. J., Wolff, S. B. E., & Lüthi, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.024 · Cited by 430
Finding the beat: a neural perspective across humans and non-human primates
Merchant, H., Grahn, J. A., Trainor, L. J., Rohrmeier, M., & Fitch, W. T. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0093 · Cited by 410
Role of myelin plasticity in oscillations and synchrony of neuronal activity
Pajevic, S., Basser, P. J., & Fields, R. D. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.11.007 · Cited by 378
Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies
O’Reilly, C., Lewis, J. D., & Elsabbagh, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175870 · Cited by 415
Oscillations in the prefrontal cortex: a gateway to memory and attention
Benchenane, K., Tiesinga, P. H., & Battaglia, F. P. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.01.004 · Cited by 366
Cortical gamma band synchronization through somatostatin interneurons
Veit, J., Hakim, R., Jadi, M. P., B, T. J. S. A., & Adesnik, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4562 · Cited by 376
Driving Oscillatory Activity in the Human Cortex Enhances Motor Performance
Joundi, R. A., Jenkinson, N., Brittain, J., Aziz, T. Z., & Brown, P. (2012) · Current Biology · doi:10.1016/j.cub.2012.01.024 · Cited by 362
Human gamma-band activity: A review on cognitive and behavioral correlates and network models
Herrmann, C. S., Fründ, I., & Lenz, D. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.09.001 · Cited by 340
Distinct functions for direct and transthalamic corticocortical connections
Sherman, S. M., & Guillery, R. W. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00429.2011 · Cited by 336
Schizophrenia: a tale of two critical periods for prefrontal cortical development
Selemon, L. D., & Zecevic, N. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.115 · Cited by 336
Grid cells and cortical representation
Moser, E. I., Roudi, Y., Witter, M. P., Kentros, C., Bonhoeffer, T., & Moser, M.-B. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3766 · Cited by 335
Neuromodulation with single‐element transcranial focused ultrasound in human thalamus
Legon, W., Ai, L., Bansal, P., & Mueller, J. K. (2018) · Human Brain Mapping · doi:10.1002/hbm.23981 · Cited by 349
Zhang, Z. G., Hu, L., Hung, Y. S., Mouraux, A., & Iannetti, G. D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5877-11.2012 · Cited by 330
Top-down control of visual attention
Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.003 · Cited by 385
A Corticothalamic Switch: Controlling the Thalamus with Dynamic Synapses
Crandall, S. R., Cruikshank, S. J., & Connors, B. W. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.040 · Cited by 336
Key, B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1011 · Cited by 318
Swann, N. C., de Hemptinne, C., Miocinovic, S., Qasim, S. E., Wang, S. S., Ziman, N., Ostrem, J. L., Luciano, M. S., Galifianakis, N. B., & Starr, P. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1128-16.2016 · Cited by 329
Selective Modulation of Interhemispheric Functional Connectivity by HD-tACS Shapes Perception
Helfrich, R. F., Knepper, H., Nolte, G., Strüber, D., Rach, S., Herrmann, C. S., Schneider, T. R., & Engel, A. K. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1002031 · Cited by 329
Recent advances in the neuropsychopharmacology of serotonergic hallucinogens
Halberstadt, A. L. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.07.016 · Cited by 312
“Since cortical oscillations play a fundamental role in a diverse set of mental processes and are required for the coordination of neural processing (Gray et al., 1989; Singer, 1999; Buzsaki and Draguhn, 2004; Sejnowski and Paulsen, 2006; Fries, 2009; Klimesch, 2012), it is tempting to speculate that the reduction of n…”
BackgroundContinual learning of context-dependent processing in neural networks
Zeng, G., Chen, Y., Cui, B., & Yu, S. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0080-x · Cited by 309
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
A Review on the Computational Methods for Emotional State Estimation from the Human EEG
Kim, M., Kim, M., Oh, E., & Kim, S.-P. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/573734 · Cited by 304
Dynamic BOLD functional connectivity in humans and its electrophysiological correlates
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., & Laufs, H. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00339 · Cited by 300
The neuronal encoding of information in the brain
Rolls, E. T., & Treves, A. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.08.002 · Cited by 300
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Mühl, C., Allison, B. Z., Nijholt, A., & Chanel, G. (2014) · Brain-Computer Interfaces · doi:10.1080/2326263x.2014.912881 · Cited by 296
The Slow Oscillation in Cortical and Thalamic Networks: Mechanisms and Functions
Neske, G. T. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00088 · Cited by 296
O’Neill, P.-K., Gordon, J. A., & Sigurdsson, T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2378-13.2013 · Cited by 297
Feedback Inhibition Enables Theta-Nested Gamma Oscillations and Grid Firing Fields
Pastoll, H., Solanka, L., van Rossum, M. C. W., & Nolan, M. F. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.032 · Cited by 287
Chen, G., Ward, B. D., Xie, C., Li, W., Wu, Z., Jones, J. L., Franczak, M. B., Antuono, P., & Li, S.-J. (2011) · Radiology · doi:10.1148/radiol.10100734 · Cited by 281
Metastable chimera states in community-structured oscillator networks
Shanahan, M. (2010) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3305451 · Cited by 275
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
A Paradigm Shift in Functional Brain Imaging
Raichle, M. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4366-09.2009 · Cited by 281
Gaetz, W., Bloy, L., Wang, D. J., Port, R. G., Blaskey, L., Levy, S. E., & Roberts, T. P. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.068 · Cited by 267
Calabrò, R. S., Naro, A., Russo, M., Leo, A., Luca, R. D., Balletta, T., Buda, A., Rosa, G. L., Bramanti, A., & Bramanti, P. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0268-4 · Cited by 274
Maier (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00031 · Cited by 266
The interneuron energy hypothesis: Implications for brain disease
Kann, O. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.005 · Cited by 270
Do gamma oscillations play a role in cerebral cortex?
Ray, S., & Maunsell, J. H. R. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.002 · Cited by 272
Alterations of cortical GABA neurons and network oscillations in schizophrenia
Gonzalez-Burgos, G., Hashimoto, T., & Lewis, D. A. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-010-0124-8 · Cited by 260
Early Gamma Oscillations Synchronize Developing Thalamus and Cortex
Minlebaev, M., Colonnese, M., Tsintsadze, T., Sirota, A., & Khazipov, R. (2011) · Science · doi:10.1126/science.1210574 · Cited by 257
Distributed Attention Is Implemented through Theta-Rhythmic Gamma Modulation.
Landau, A., Schreyer, H., van Pelt, S. V., & Fries, P. (2015) · Current Biology · doi:10.1016/j.cub.2015.07.048 · Cited by 265
Self-citationBick, C., Goodfellow, M., Laing, C. R., & Martens, E. A. (2020) · The Journal of Mathematical Neuroscience · doi:10.1186/s13408-020-00086-9 · Cited by 273
Ketamine has distinct electrophysiological and behavioral effects in depressed and healthy subjects
Nugent, A. C., Ballard, E. D., Gould, T. D., Park, L. T., Moaddel, R., Brutsche, N. E., & Zarate, C. A. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0028-2 · Cited by 250
High frequency oscillations in the intact brain
Buzsáki, G., & Lopes, F. H. D. S. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.02.004 · Cited by 261
Metadata
- Authors
- Fries, P.
- Affiliations
- Radboud University Nijmegen (NL)
- Corresponding author
- Fries, Pascal
- ORCID
- Fries, Pascal
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2009-06-01
- Volume
- 32
- Issue
- 1
- Pages
- 209-224
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2157084876
- Cited by
- 1,713
- References
- 91
- Citations by year
- 2026: 72 · 2025: 94 · 2024: 91 · 2023: 80 · 2022: 86 · 2021: 112 · 2020: 97 · 2019: 144 · 2018: 90 · 2017: 125 · 2016: 127 · 2015: 129 · 2014: 104 · 2013: 103 · 2012: 105
- FWCI
- 6.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Keywords
- gamma-band synchronization, cortical computation, neuronal connectivity, convergence, functional segregation, neural dynamics, structural connectivity, cognitive function, neural oscillations
- MeSH terms
- Action Potentials, Animals, Cerebral Cortex, Cognition, Cortical Synchronization, Evoked Potentials, Humans, Mental Processes, Nerve Net, Neural Pathways, Neurons, Periodicity
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
