Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
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In areas 17 and 18 of the cat visual cortex the firing probability of neurons, in response to the presentation of optimally aligned light bars within their receptive field, oscillates with a peak frequency near 40 Hz. The neuronal firing pattern is tightly correlated with the phase and amplitude of an oscillatory local field potential recorded through the same electrode. The amplitude of the local field-potential oscillations are maximal in response to stimuli that match the orientation and direction preference of the local cluster of neurons. Single and multiunit recordings from the dorsal lateral geniculate nucleus of the thalamus showed no evidence of oscillations of the neuronal firing probability in the range of 20-70 Hz. The results demonstrate that local neuronal populations in the visual cortex engage in stimulus-specific synchronous oscillations resulting from an intracortical mechanism. The oscillatory responses may provide a general mechanism by which activity patterns in spatially separate regions of the cortex are temporally coordinated.
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Mass action in the nervous system
Freeman, W. J. (1975) · Cited by 1,480 · see citing works
Barlow, J. S. (1979) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(79)90175-5 · Cited by 755 · see citing works
Martin, K. A. C., & Whitteridge, D. (1984) · The Journal of Physiology · doi:10.1113/jphysiol.1984.sp015347 · Cited by 529 · see citing works
Microcircuitry of the Visual Cortex
Gilbert, C. D. (1983) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.06.030183.001245 · Cited by 451 · see citing works
Mass action in the nervous system
Walter, D. O. (1976) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(76)90110-3 · Cited by 377 · see citing works
Orientation selectivity of synaptic potentials in neurons of cat primary visual cortex
Ferster, D. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-05-01284.1986 · Cited by 329 · see citing works
Spatial patterns of visual cortical fast EEG during conditioned reflex in a rhesus monkey
Freeman, W. J., & van Dijk, B. W. (1987) · Brain Research · doi:10.1016/0006-8993(87)90933-4 · Cited by 282 · see citing works
Bouyer, J. J., Montaron, M., & Rougeul, A. (1981) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(81)90138-3 · Cited by 256 · see citing works
Nonlinear dynamics of paleocortex manifested in the olfactory EEG
Freeman, W. J. (1979) · Biological Cybernetics · doi:10.1007/bf01845841 · Cited by 207 · see citing works
Organization of cat visual cortex as investigated by cross-correlation technique.
Toyama, K., Kimura, M., & Tanaka, K. (1981) · Journal of Neurophysiology · doi:10.1152/jn.1981.46.2.202 · Cited by 194 · see citing works
Pearson, J., Finkel, L., & Edelman, G. M. (1987) · Journal of Neuroscience · doi:10.1523/jneurosci.07-12-04209.1987 · Cited by 188 · see citing works
Gray, C. M., & Skinner, J. E. (1988) · Experimental Brain Research · doi:10.1007/bf00247583 · Cited by 165 · see citing works
Self-citationSENSORY DISCRIMINATION: With Some Recent Evidence from the Olfactory Organ
Adrian, E. D. (1950) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a073625 · Cited by 162 · see citing works
Anatomical localization of cortical beta rhythms in cat
Bouyer, J. J., Montaron, M., Vahnée, J. M., Albert, M. P., & Rougeul, A. (1987) · Neuroscience · doi:10.1016/0306-4522(87)92965-4 · Cited by 150 · see citing works
Handbook of electroencephalography and clinical neurophysiology
Vos, J. E. (1976) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(76)90224-8 · Cited by 149 · see citing works
Rougeul, A., Bouyer, J. J., Dedet, L., & Debray, O. (1979) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(79)90205-0 · Cited by 149 · see citing works
Haberly, L. B., & Bower, J. M. (1984) · Journal of Neurophysiology · doi:10.1152/jn.1984.51.1.90 · Cited by 133 · see citing works
Odor-related bulbar EEG spatial pattern analysis during appetitive conditioning in rabbits.
Prisco, G. V. D., & Freeman, W. J. (1985) · Behavioral Neuroscience · doi:10.1037//0735-7044.99.5.964 · Cited by 103 · see citing works
Lopes, F. H. D. S., van Rotterdam, A., van Leeuwen, W. S., & Tielen, A. M. (1970) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(70)90138-0 · Cited by 97 · see citing works
Characteristics of neuronal systems in the visual cortex
von Seelen, W., Mallot, H. A., & Giannakopoulos, F. (1987) · Biological Cybernetics · doi:10.1007/bf00333066 · Cited by 37 · see citing works
Evidence for a threshold in experience-dependent long-term changes of kitten visual cortex
Greuel, J. M., Luhmann, H. J., & Singer, W. (1987) · Developmental Brain Research · doi:10.1016/0165-3806(87)90203-3 · Cited by 30 · see citing works
Self-citationFinette, S. I., Harth, E. M., & Csermely, T. J. (1978) · Biological Cybernetics · doi:10.1007/bf00361044 · Cited by 12 · see citing works
Prevention of coronary platelet aggregation with a phosphodiesterase inhibitor RX-RA 69
Machleidt, C., Rose, P., & Mittmann, U. (1985) · Thrombosis Research · doi:10.1016/0049-3848(85)90092-1 · Cited by 8 · see citing works
Flagged first, then by citations
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Sorted by citations
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
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 · see citing works
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564 · see citing works
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126 · see citing works
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603 · see citing works
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 · see citing works
Self-citationSynaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070 · see citing works
Neuronal gamma-band synchronization as a fundamental process in cortical computation
Fries, P. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135603 · Cited by 1,713 · see citing works
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757 · see citing works
Whittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613 · see citing works
Comorbidity: a network perspective
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09991567 · Cited by 1,575 · see citing works
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289 · see citing works
McCormick, D. A. (1992) · Progress in Neurobiology · doi:10.1016/0301-0082(92)90012-4 · Cited by 1,117 · see citing works
The Asynchronous State in Cortical Circuits
Renart, A., de la Rocha, J., Bartho, P., Hollender, L., Parga, N., Reyes, A., & Harris, K. D. (2010) · Science · doi:10.1126/science.1179850 · Cited by 1,106 · see citing works
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works
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 · see citing works
Entrainment of Neocortical Neurons and Gamma Oscillations by the Hippocampal Theta Rhythm
Sirota, A., Montgomery, S., Fujisawa, S., Isomura, Y., Zugaro, M., & Buzsáki, G. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.014 · Cited by 1,015 · see citing works
Stochastic resonance and sensory information processing: A tutorial and review of application
Moss, F., Ward, L. M., & Sannita, W. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.09.014 · Cited by 994 · see citing works
Hameroff, S., & Penrose, R. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2013.08.002 · Cited by 983 · see citing works
“Specific unexplained features of consciousness include the following: The ‘hard problem’ What is the nature of phenomenal experience, and what distinguishes conscious from nonconscious cognition?”
BackgroundOscillatory 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 · see citing works
Coherent 40-Hz oscillation characterizes dream state in humans.
Llinás, R., & Ribary, U. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.2078 · Cited by 962 · see citing works
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
Nádasdy, Z., Hirase, H., Czurkó, A., Csicsvari, J., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09497.1999 · Cited by 932 · see citing works
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929 · see citing works
Temporal structure in spatially organized neuronal ensembles: a role for interneuronal networks
Buzsáki, G., & Chrobak, J. J. (1995) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(95)80012-3 · Cited by 878 · see citing works
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 · see citing works
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 · see citing works
Decoupling of the brain's default mode network during deep sleep
Horovitz, S. G., Braun, A. R., Carr, W. S., Picchioni, D., Balkin, T. J., Fukunaga, M., & Duyn, J. H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901435106 · Cited by 685 · see citing works
Theta and gamma oscillations predict encoding and retrieval of declarative memory
Osipova, D., Takashima, A., Oostenveld, R., Fernández, G., Maris, E., & Jensen, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1948-06.2006 · Cited by 671 · see citing works
Hippocampal synaptic plasticity, spatial memory and anxiety
Bannerman, D. M., Sprengel, R., Sanderson, D. J., McHugh, S. B., Rawlins, J. N. P., Monyer, H., & Seeburg, P. H. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3677 · Cited by 688 · see citing works
Development and plasticity of cortical processing architectures
Singer, W. (1995) · Science · doi:10.1126/science.270.5237.758 · Cited by 669 · see citing works
Oscillatory synchronization in large-scale cortical networks predicts perception
Hipp, J. F., Engel, A. K., & Siegel, M. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.027 · Cited by 599 · see citing works
Uhlhaas, P. J., Haenschel, C., Nikolic, D., & Singer, W. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn062 · Cited by 629 · see citing works
Self-citationOrchestrated reduction of quantum coherence in brain microtubules: a model for consciousness
Hameroff, S., & Penrose, R. (1996) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(96)80476-9 · Cited by 641 · see citing works
McBain, C. J., & Fisahn, A. (2001) · Nature Reviews Neuroscience · doi:10.1038/35049047 · Cited by 581 · see citing works
Buzsáki, G., & Watson, B. O. (2012) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2012.14.4/gbuzsaki · Cited by 579 · see citing works
Cortex and memory: emergence of a new paradigm
Fuster, J. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21280 · Cited by 559 · see citing works
Destexhe, A., Contreras, D., & Steriade, M. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-11-04595.1999 · Cited by 573 · see citing works
A New Unifying Account of the Roles of Neuronal Entrainment
Lakatos, P., Gross, J., & Thut, G. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.075 · Cited by 508 · see citing works
Neural Darwinism: selection and reentrant signaling in higher brain function.
Edelman, G. M. (1993) · Neuron · doi:10.1016/0896-6273(93)90304-a · Cited by 557 · see citing works
Rhythmic and dysrhythmic thalamocortical dynamics: GABA systems and the edge effect
Llinás, R., Urbano, F. J., Leznik, E., Ramírez, R. R., & van Marle, H. J. F. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.04.006 · Cited by 549 · see citing works
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 · see citing works
Self-citationDonoghue, J. P., Sanes, J. N., Hatsopoulos, N. G., & Gaál, G. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.1.159 · Cited by 538 · see citing works
Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior
Cohen, M. X., & Donner, T. H. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00479.2013 · Cited by 494 · see citing works
Korotkova, T., Fuchs, E. C., Ponomarenko, A., von Engelhardt, J., & Monyer, H. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.017 · Cited by 480 · see citing works
von der Malsburg, C. (1999) · Neuron · doi:10.1016/s0896-6273(00)80825-9 · Cited by 501 · see citing works
Why do we sleep?11Published on the World Wide Web on 7 November 2000.
Sejnowski, T. J., & Destexhe, A. (2000) · Brain Research · doi:10.1016/s0006-8993(00)03007-9 · Cited by 489 · see citing works
Schroeder, C. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.7.575 · Cited by 464 · see citing works
Converging Intracranial Markers of Conscious Access
Gaillard, R., Dehaene, S., Adam, C., Clémenceau, S., Hasboun, D., Baulac, M., Cohen, L., & Naccache, L. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000061 · Cited by 440 · see citing works
Modeling Sleep and Wakefulness in the Thalamocortical System
Hill, S., & Tononi, G. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00915.2004 · Cited by 417 · see citing works
Spike train dynamics predicts theta-related phase precession in hippocampal pyramidal cells
Harris, K. D., Henze, D. A., Hirase, H., Leinekugel, X., Dragoi, G., Czurkó, A., & Buzsáki, G. (2002) · Nature · doi:10.1038/nature00808 · Cited by 398 · see citing works
Temporal binding, binocular rivalry, and consciousness
Engel, A. K., Fries, P., König, P., Brecht, M., & Singer, W. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1999.0389 · Cited by 379 · see citing works
Self-citationConsciousness and the Binding Problem
SINGER, W. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05712.x · Cited by 367 · see citing works
Self-citationCellular mechanisms of neuronal population oscillations in the hippocampus in vitro
Traub, R. D., Bibbig, A., LeBeau, F. E. N., Buhl, E. H., & Whittington, M. A. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144303 · Cited by 358 · see citing works
Are corticothalamic ‘up’ states fragments of wakefulness?
Destexhe, A., Hughes, S. W., Rudolph, M., & Crunelli, V. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.04.006 · Cited by 355 · see citing works
A beta2-frequency (20-30 Hz) oscillation in nonsynaptic networks of somatosensory cortex
Roopun, A. K., Middleton, S. J., Cunningham, M. O., LeBeau, F. E. N., Bibbig, A., Whittington, M. A., & Traub, R. D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607443103 · Cited by 338 · see citing works
Distinct 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 · see citing works
Cho, K. K. A., Hoch, R., Lee, A. T., Patel, T., Rubenstein, J. L. R., & Sohal, V. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.019 · Cited by 329 · see citing works
Synchronization of oscillatory neuronal responses in cat striate cortex: temporal properties
Gray, C. M., Engel, A. K., König, P., & Singer, W. (1992) · Visual Neuroscience · doi:10.1017/s0952523800005071 · Cited by 317 · see citing works
Self-citationKey, B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1011 · Cited by 318 · see citing works
Spatiotemporal Structure of Cortical Activity: Properties and Behavioral Relevance
Prut, Y., Vaadia, E., Bergman, H., Haalman, I., Slovin, H., & Abeles, M. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2857 · Cited by 300 · see citing works
Gamma and beta bursts during working memory readout suggest roles in its volitional control
Lundqvist, M., Herman, P., Warden, M. R., Brincat, S. L., & Miller, E. K. (2018) · Nature Communications · doi:10.1038/s41467-017-02791-8 · Cited by 299 · see citing works
Network Oscillations: Emerging Computational Principles
Sejnowski, T. J., & Paulsen, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3737-05d.2006 · Cited by 284 · see citing works
Postnatal Differentiation of Basket Cells from Slow to Fast Signaling Devices
Doischer, D., Aurel Hosp, J., Yanagawa, Y., Obata, K., Jonas, P., Vida, I., & Bartos, M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2890-08.2008 · Cited by 248 · see citing works
GABAergic interneurons targeting dendrites of pyramidal cells in the CA1 area of the hippocampus
Klausberger, T. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06913.x · Cited by 260 · see citing works
Insects have the capacity for subjective experience
Klein, C., & Barron, A. B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1113 · Cited by 243 · see citing works
Interactions Between Membrane Conductances Underlying Thalamocortical Slow-Wave Oscillations
DESTEXHE, A., & SEJNOWSKI, T. J. (2003) · Physiological Reviews · doi:10.1152/physrev.00012.2003 · Cited by 241 · see citing works
Role of the temporal domain for response selection and perceptual binding
Engel, A. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.571 · Cited by 237 · see citing works
Cortical gamma responses: Searching high and low
Crone, N. E., Korzeniewska, A., & Franaszczuk, P. J. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.10.013 · Cited by 201 · see citing works
Top-Down Beta Enhances Bottom-Up Gamma
Richter, C. G., Thompson, W. H., Bosman, C. A., & Fries, P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3771-16.2017 · Cited by 195 · see citing works
Lumer, E. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.207 · Cited by 186 · see citing works
Physiological properties of inhibitory interneurons in cat striate cortex
Azouz, R. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.534 · Cited by 173 · see citing works
Systematic Fluctuation Expansion for Neural Network Activity Equations
Buice, M. A., Cowan, J. D., & Chow, C. C. (2010) · Neural Computation · doi:10.1162/neco.2009.02-09-960 · Cited by 164 · see citing works
Rates and rhythms: a synergistic view of frequency and temporal coding in neuronal networks
Ainsworth, M., Lee, S., Cunningham, M. O., Traub, R. D., Kopell, N. J., & Whittington, M. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.004 · Cited by 149 · see citing works
Ketamine Disrupts Theta Modulation of Gamma in a Computer Model of Hippocampus
Neymotin, S. A., Lazarewicz, M. T., Sherif, M., Contreras, D., Finkel, L. H., & Lytton, W. W. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0501-11.2011 · Cited by 139 · see citing works
Book Review: Brain Function, Nonlinear Coupling, and Neuronal Transients
Friston, K. J. (2001) · The Neuroscientist · doi:10.1177/107385840100700510 · Cited by 141 · see citing works
GABAA,slow: causes and consequences
Capogna, M., & Pearce, R. A. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2010.10.005 · Cited by 129 · see citing works
The timing of the cognitive cycle
Madl, T., Baars, B. J., & Franklin, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014803 · Cited by 116 · see citing works
The ‘conscious pilot’ — dendritic synchrony moves through the brain to mediate consciousness.
Hameroff, S. (2010) · Journal of Biological Physics · doi:10.1007/s10867-009-9148-x · Cited by 107 · see citing works
Implications of neural networks for how we think about brain function
Robinson, D. A. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00072563 · Cited by 107 · see citing works
Lumer, E. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.228 · Cited by 103 · see citing works
Kuzovkin, I., Vicente, R., Petton, M., Lachaux, J.-P., Baciu, M., Kahane, P., Rheims, S., Vidal, J. R., & Aru, J. (2018) · Communications Biology · doi:10.1038/s42003-018-0110-y · Cited by 104 · see citing works
Gamma oscillation deficits and the onset and early progression of schizophrenia
Woo, T.-U. W., Spencer, K., & McCarley, R. W. (2010) · Harvard Review of Psychiatry · doi:10.3109/10673221003747609 · Cited by 96 · see citing works
How quantum brain biology can rescue conscious free will
Hameroff, S. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00093 · Cited by 95 · see citing works
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 · see citing works
Cellular mechanisms of temporal sensitivity in visual cortex neurons
Cardin, J. A., Kumbhani, R. D., Contreras, D., & Palmer, L. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5279-09.2010 · Cited by 62 · see citing works
Time and frequency analysis of the brain’s distributed gamma-band system.
Basar, E., Basar-Eroglu, C., Demiralp, T., & Schurmann, M. (1995) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.395322 · Cited by 57 · see citing works
Shaw, A. D., Knight, L., Freeman, T. C. A., Williams, G. M., Moran, R. J., Friston, K. J., Walters, J. T. R., & Singh, K. D. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz066 · Cited by 54 · see citing works
Herman, P. A., Lundqvist, M., & Lansner, A. (2013) · Brain Research · doi:10.1016/j.brainres.2013.08.002 · Cited by 47 · see citing works
Freitas da Rocha, A., Pereira, A., & Bezerra Coutinho, F. A. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00069-1 · Cited by 41 · see citing works
Solving Bernstein's Problem: A Proposal for the Development of Coordinated Movement by Selection
Sporns, O., & Edelman, G. M. (1993) · Child Development · doi:10.1111/j.1467-8624.1993.tb04182.x · Cited by 38 · see citing works
Thompson, A. W., & Scott, E. K. (2016) · Scientific Reports · doi:10.1038/srep34887 · Cited by 26 · see citing works
Classical-quantum interfaces in living neural tissue supporting conscious functions
(2020) · Advances in Quantum Chemistry · doi:10.1016/bs.aiq.2020.08.002 · Cited by 6 · see citing works
- Authors
- Gray, C. M., & Singer, W.
- Affiliations
- Max Planck Institute for Brain Research (DE)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 1989-03
- Volume
- 86
- Issue
- 5
- Pages
- 1698-1702
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC286768
- OpenAlex
- W2057213277
- Cited by
- 2,463
- References
- 23
- Citations by year
- 2026: 9 · 2025: 36 · 2024: 34 · 2023: 49 · 2022: 39 · 2021: 61 · 2020: 49 · 2019: 52 · 2018: 47 · 2017: 64 · 2016: 66 · 2015: 82 · 2014: 72 · 2013: 67 · 2012: 61
- FWCI
- 47.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- neural oscillations, orientation columns, cat visual cortex, local field potentials, synchronous firing, receptive fields, orientation preference, dorsal lateral geniculate nucleus, area 17, area 18
- MeSH terms
- Animals, Cats, Neurons, Organ Specificity, Oscillometry, Photic Stimulation, Thalamus, Visual Cortex
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