Portraits of communication in neuronal networks
Abstract
The brain is organized as a network of highly specialized networks of spiking neurons. To exploit such a modular architecture for computation, the brain has to be able to regulate the flow of spiking activity between these specialized networks. In this Opinion article, we review various prominent mechanisms that may underlie communication between neuronal networks. We show that communication between neuronal networks can be understood as trajectories in a two-dimensional state space, spanned by the properties of the input. Thus, we propose a common framework to understand neuronal communication mediated by seemingly different mechanisms. We also suggest that the nesting of slow (for example, alpha-band and theta-band) oscillations and fast (gamma-band) oscillations can serve as an important control mechanism that allows or prevents spiking signals to be routed between specific networks. We argue that slow oscillations can modulate the time required to establish network resonance or entrainment and, thereby, regulate communication between neuronal networks.
Integrity signals
Registry
Cites
Statistics
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?
Artificial neural networks allow the development of models with a high predictive capacity and autonomous learning capacity.
“artificial neural networks allow the development of models with a high predictive capacity and autonomous learning capacity [61]”
From Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network (2021) · cites this paper as [61]
Cites
Synchronization a universal concept in nonlinear sciences
PIKOVSKY, A. S., Rosenblum, M. G., & Kurths, J. (2001) · Cited by 5,640 · see citing works
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873 · 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
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183 · see citing works
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832 · see citing works
Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415 · see citing works
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · see citing works
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 3,157 · see citing works
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 · see citing works
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 · see citing works
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725 · 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
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573 · see citing works
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050 · see citing works
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
Brunel, N. (2000) · Journal of Computational Neuroscience · doi:10.1023/a:1008925309027 · Cited by 1,733 · see citing works
Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?
Barlow, H. B. (1972) · Perception · doi:10.1068/p010371 · Cited by 1,714 · see citing works
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660 · see citing works
Self-citationThe role of phase synchronization in memory processes
Fell, J., & Axmacher, N. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2979 · Cited by 1,620 · see citing works
Abeles, M. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511574566 · Cited by 1,380 · see citing works
Modulation of Neuronal Interactions Through Neuronal Synchronization
Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P. (2007) · Science · doi:10.1126/science.1139597 · Cited by 1,367 · see citing works
New vistas for α-frequency band oscillations
Palva, S., & Palva, J. M. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.02.001 · Cited by 1,339 · see citing works
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 · 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
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224 · see citing works
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · 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
Stimulus onset quenches neural variability: A widespread cortical phenomenon
Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2501 · Cited by 1,084 · see citing works
Synchronization: Theory and Application
(2003) · doi:10.1007/978-94-010-0217-2 · Cited by 1,049 · see citing works
Attention, intention, and priority in the parietal lobe
Bisley, J. W., & Goldberg, M. E. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152823 · Cited by 1,043 · see citing works
Stable propagation of synchronous spiking in cortical neural networks
Diesmann, M., Gewaltig, M.-O., & Aertsen, A. (1999) · Nature · doi:10.1038/990101 · Cited by 1,003 · see citing works
Self-citationThe log-dynamic brain: how skewed distributions affect network operations
Buzsáki, G., & Mizuseki, K. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3687 · Cited by 964 · see citing works
Principles of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908 · see citing works
Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function
Riehle, A., Grün, S., Diesmann, M., & Aertsen, A. (1997) · Science · doi:10.1126/science.278.5345.1950 · Cited by 895 · see citing works
Self-citationHarris, K. D., & Thiele, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3084 · Cited by 871 · see citing works
Redistribution of synaptic efficacy between neocortical pyramidal neurons
Markram, H., & Tsodyks, M. V. (1996) · Nature · doi:10.1038/382807a0 · Cited by 856 · see citing works
Communication dynamics in complex brain networks
Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856 · see citing works
Brunel, N., & Wang, X. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01095.2002 · Cited by 854 · see citing works
Dehaene, S., Sergent, C., & Changeux, J.-P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1332574100 · Cited by 838 · see citing works
Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity
Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R. (2004) · Science · doi:10.1126/science.1093173 · Cited by 838 · see citing works
New insights into the classification and nomenclature of cortical GABAergic interneurons
DeFelipe, J., López-Cruz, P. L., Benavides-Piccione, R., Bielza, C., Larrañaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairén, A., Feldmeyer, D., et al. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3444 · Cited by 833 · see citing works
Thalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809 · see citing works
Dynamics of neuronal interactions in monkey cortex in relation to behavioural events
Vaadia, E., Haalman, I., Abeles, M., Bergman, H., Prut, Y., Slovin, H., & Aertsen, A. (1995) · Nature · doi:10.1038/373515a0 · Cited by 802 · see citing works
Self-citationHaegens, S., Nácher, V., Luna, R., Romo, R., & Jensen, O. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117190108 · Cited by 738 · see citing works
Cortex is driven by weak but synchronously active thalamocortical synapses
Bruno, R. M., & Sakmann, B. (2006) · Science · doi:10.1126/science.1124593 · Cited by 714 · see citing works
Michalareas, G., Vezoli, J., van Pelt, S., Schoffelen, J.-M., Kennedy, H., & Fries, P. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.018 · Cited by 696 · see citing works
Decorrelated neuronal firing in cortical microcircuits
Ecker, A. S., Berens, P., Keliris, G. A., Bethge, M., Logothetis, N. K., & Tolias, A. S. (2010) · Science · doi:10.1126/science.1179867 · Cited by 640 · see citing works
Inhibition dominates sensory responses in the awake cortex
Haider, B., Häusser, M., & Carandini, M. (2012) · Nature · doi:10.1038/nature11665 · Cited by 541 · see citing works
Facilitation and depression at single central synapses
Stevens, C. F., & Wang, Y. (1995) · Neuron · doi:10.1016/0896-6273(95)90223-6 · Cited by 502 · see citing works
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 498 · see citing works
Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons
Vogels, T. P., & Abbott, L. F. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3508-05.2005 · Cited by 466 · see citing works
Kumar, A., Rotter, S., & Aertsen, A. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2886 · Cited by 448 · see citing works
Self-citationDifferences 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 424 · see citing works
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 · see citing works
Adrian, E. D. (1954) · BMJ · doi:10.1136/bmj.1.4857.287 · Cited by 386 · see citing works
Gating multiple signals through detailed balance of excitation and inhibition in spiking networks
Vogels, T. P., & Abbott, L. F. (2009) · Nature Neuroscience · doi:10.1038/nn.2276 · Cited by 375 · see citing works
From Behavior to Neural Dynamics: An Integrated Theory of Attention
Buschman, T. J., & Kästner, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.017 · Cited by 363 · see citing works
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 · see citing works
Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro
Reyes, A. D. (2003) · Nature Neuroscience · doi:10.1038/nn1056 · Cited by 296 · see citing works
Network architecture of the long-distance pathways in the macaque brain
Modha, D. S., & Singh, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008054107 · Cited by 283 · see citing works
Flexible information routing by transient synchrony
Palmigiano, A., Geisel, T., Wolf, F., & Battaglia, D. A. (2017) · Nature Neuroscience · doi:10.1038/nn.4569 · Cited by 275 · see citing works
Castelo-Branco, M. S., Neuenschwander, S., & Singer, W. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-16-06395.1998 · Cited by 274 · see citing works
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 270 · see citing works
Marder, E., O'Leary, T., & Shruti, S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-013958 · Cited by 262 · see citing works
Communication through coherence with inter-areal delays
Bastos, A. M., Vezoli, J., & Fries, P. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.11.001 · Cited by 261 · see citing works
Robust Gamma Coherence between Macaque V1 and V2 by Dynamic Frequency Matching
Roberts, M. J., Lowet, E., Brunet, N. M., Wal, M. T., Tiesinga, P. H. E., Fries, P., & Weerd, P. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.003 · Cited by 253 · see citing works
Rudolph, M., Pospischil, M., Timofeev, I., & Destexhe, A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4652-06.2007 · Cited by 247 · see citing works
Relating neuronal firing patterns to functional differentiation of cerebral cortex.
Shinomoto, S., Kim, H., Shimokawa, T., Matsuno, N., Funahashi, S., Shima, K., Fujita, I., Tamura, H., Doi, T., Kawano, K., et al. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000433 · Cited by 239 · see citing works
Beyond Poisson: Increased Spike-Time Regularity across Primate Parietal Cortex
Maimon, G., & Assad, J. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.021 · Cited by 228 · see citing works
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 · see citing works
Mejias, J. F., Murray, J. D., Kennedy, H., & Wang, X.-J. (2016) · Science Advances · doi:10.1126/sciadv.1601335 · Cited by 227 · see citing works
The what, where, and why of priority maps and their interactions with visual working memory
Zelinsky, G. J., & Bisley, J. W. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12606 · Cited by 223 · see citing works
Induced Oscillations in the Alpha Band: Functional Meaning
Pfurtscheller, G. (2003) · Epilepsia · doi:10.1111/j.0013-9580.2003.12001.x · Cited by 222 · see citing works
Neurosystems: brain rhythms and cognitive processing
Cannon, J. J., McCarthy, M. M., Lee, S., Lee, J. H., Börgers, C., Whittington, M. A., & Kopell, N. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12453 · Cited by 221 · see citing works
Analysis of Parallel Spike Trains
Grün, S., & Rotter, S. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5675-0 · Cited by 210 · see citing works
Bienenstock, E. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x_6_2_004 · Cited by 208 · see citing works
Neuronal Integration of Synaptic Input in the Fluctuation-Driven Regime
Kuhn, A., Aertsen, A., & Rotter, S. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.3349-03.2004 · Cited by 200 · see citing works
Self-citationThe High-Conductance State of Cortical Networks
Kumar, A., Schrader, S., Aertsen, A., & Rotter, S. (2007) · Neural Computation · doi:10.1162/neco.2008.20.1.1 · Cited by 199 · see citing works
Self-citationTop-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
Packet-based communication in the cortex
Luczak, A., McNaughton, B. L., & Harris, K. D. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4026 · Cited by 192 · see citing works
Decorrelation of Neural-Network Activity by Inhibitory Feedback
Tetzlaff, T., Helias, M., Einevoll, G. T., & Diesmann, M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002596 · Cited by 186 · see citing works
Kumar, A., Rotter, S., & Aertsen, A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2542-07.2008 · Cited by 181 · see citing works
Self-citationGamma and the Coordination of Spiking Activity in Early Visual Cortex
Jia, X., Tanabe, S., & Kohn, A. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.036 · Cited by 176 · see citing works
Odor Discrimination Requires Proper Olfactory Fast Oscillations in Awake Mice
Lepousez, G., & Lledo, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.025 · Cited by 170 · see citing works
Phase Slips and Phase Synchronization of Coupled Oscillators
Zheng, Z., Hu, G., & Hu, B. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.5318 · Cited by 168 · see citing works
Optimal Information Transfer in the Cortex through Synchronization
Buehlmann, A., & Deco, G. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000934 · Cited by 166 · see citing works
Self-citationRatté, S., Hong, S., Schutter, E. D., & Prescott, S. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.030 · Cited by 154 · see citing works
The Logic of Inhibitory Connectivity in the Neocortex
Fino, É., Packer, A. M., & Yuste, R. (2012) · The Neuroscientist · doi:10.1177/1073858412456743 · Cited by 151 · see citing works
On the Transmission of Rate Code in Long Feedforward Networks with Excitatory–Inhibitory Balance
Vladimir Litvak, A., Sompolinsky, H., Segev, I., & Abeles, M. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-07-03006.2003 · Cited by 149 · see citing works
Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs
Ledoux, E., & Brunel, N. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2011.00025 · Cited by 148 · see citing works
Is Gamma-Band Activity in the Local Field Potential of V1 Cortex a "Clock" or Filtered Noise?
Burns, S. P., Xing, D., & Shapley, R. M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0660-11.2011 · Cited by 147 · see citing works
Propagation of synchronous spiking activity in feedforward neural networks
Aertsen, A., Diesmann, M., & Gewaltig, M. (1996) · Journal of Physiology-Paris · doi:10.1016/s0928-4257(97)81432-5 · Cited by 129 · see citing works
Self-citationKremkow, J., Aertsen, A., & Kumar, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3874-10.2010 · Cited by 128 · see citing works
Self-citationHierarchy of Information Processing in the Brain: A Novel ‘Intrinsic Ignition’ Framework
Deco, G., & Kringelbach, M. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.028 · Cited by 126 · see citing works
Self-citationCoordinated Neuronal Activity Enhances Corticocortical Communication
Zandvakili, A., & Kohn, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.026 · Cited by 122 · see citing works
On the Stability of Brain-Like Structures
Griffith, J. S. (1963) · Biophysical Journal · doi:10.1016/s0006-3495(63)86822-8 · Cited by 111 · see citing works
Voloh, B., & Womelsdorf, T. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00018 · Cited by 96 · see citing works
Communication through Resonance in Spiking Neuronal Networks
Hahn, G., Bujan, A. F., Frégnac, Y., Aertsen, A., & Kumar, A. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003811 · Cited by 91 · see citing works
Self-citationGewaltig, M.-O., Diesmann, M., & Aertsen, A. (2001) · Neural Networks · doi:10.1016/s0893-6080(01)00070-3 · Cited by 90 · see citing works
Self-citationMokeichev, A., Okun, M., Barak, O., Katz, Y., Ben‐Shahar, O., & Lampl, I. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.017 · Cited by 90 · see citing works
Vierling-Claassen, D., Cardin, J. A., Moore, C. I., & Jones, S. R. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00198 · Cited by 86 · see citing works
The Neuronal Basis of Attention: Rate versus Synchronization Modulation
Buehlmann, A., & Deco, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5640-07.2008 · Cited by 80 · see citing works
Self-citationFrequency-Dependent Changes in NMDAR-Dependent Synaptic Plasticity
Kumar, A., & Mehta, M. R. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2011.00038 · Cited by 55 · see citing works
Self-citationThe mechanism of synchronization in feed-forward neuronal networks
Goedeke, S., & Diesmann, M. (2008) · New Journal of Physics · doi:10.1088/1367-2630/10/1/015007 · Cited by 43 · see citing works
A biologically plausible mechanism for neuronal coding organized by the phase of alpha oscillations
Gips, B., van der Eerden, J. P. J. M., & Jensen, O. B. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13318 · Cited by 42 · see citing works
Synaptic origin of rhythmic visually evoked activity in kitten area 17 neurones
Bringuier, V., Frégnac, Y., Debanne, D., Shulz, D. E., & Baranyi, A. (1992) · Neuroreport · doi:10.1097/00001756-199212000-00008 · Cited by 36 · see citing works
Jónás, P., & Buzsáki, G. (2007) · Scholarpedia · doi:10.4249/scholarpedia.3286 · Cited by 30 · see citing works
Sahasranamam, A., Vlachos, I., Aertsen, A., & Kumar, A. (2016) · Scientific Reports · doi:10.1038/srep26029 · Cited by 27 · see citing works
Self-citationJerkofsky, M., & Siervo, A. J. D. (1986) · Journal of Virology · doi:10.1128/jvi.57.3.809-815.1986 · Cited by 16 · see citing works
Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics
Nikolić, D. (2009) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2009.5179076 · Cited by 14 · see citing works
Flagged first, then by citations
4 of the 115 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Involvement of Lipids in Alzheimer’s Disease Pathology and Potential Therapies
Chew, H., Solomon, V. A., & Fonteh, A. N. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00598 · Cited by 353 · see citing works
Brain network communication: concepts, models and applications
Seguin, C., Sporns, O., & Zalesky, A. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00718-5 · Cited by 305 · see citing works
A cortex-like canonical circuit in the avian forebrain
Stacho, M., Herold, C., Rook, N., Wagner, H., Axer, M., Amunts, K., & Güntürkün, O. (2020) · Science · doi:10.1126/science.abc5534 · Cited by 199 · see citing works
Biological constraints on neural network models of cognitive function
Friedemann Pulvermüller, A., Tomasello, R., Henningsen‐Schomers, M. R., & Wennekers, T. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00473-5 · Cited by 174 · see citing works
Safron, A. (2020) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.00030 · Cited by 133 · see citing works
“IWMT specifically proposes that these synchronous complexes promote “ communication through coherence ” (Hebb, 1949; Dehaene, 2014; Fries, 2015; Deco and Kringelbach, 2016; Hahn et al., 2019).”
BackgroundFlexible recruitment of memory-based choice representations by the human medial frontal cortex
Minxha, J., Adolphs, R., Fusi, S., Mamelak, A. N., & Rutishauser, U. (2020) · Science · doi:10.1126/science.aba3313 · Cited by 138 · see citing works
Nested Neuronal Dynamics Orchestrate a Behavioral Hierarchy across Timescales
Kaplan, H. S., Thula, O. S., Khoss, N., & Zimmer, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.10.037 · Cited by 130 · see citing works
Large-Scale Communication in the Human Brain Is Rhythmically Modulated through Alpha Coherence
Chapeton, J. I., Haque, R. U., Wittig, J. H., Inati, S. K., & Zaghloul, K. A. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.014 · Cited by 126 · see citing works
Deep Learning With EEG Spectrograms in Rapid Eye Movement Behavior Disorder
Ruffini, G., Ibañez, D. P., Castellano, M., Dubreuil-Vall, L., Soria‐Frisch, A., Postuma, R., Gagnon, J., & Montplaisir, J. Y. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00806 · Cited by 110 · see citing works
Transmission delays and frequency detuning can regulate information flow between brain regions
Pariz, A., Fischer, I., Valizadeh, A., & Mirasso, C. R. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008129 · Cited by 105 · see citing works
Principles of Corticocortical Communication: Proposed Schemes and Design Considerations
Kohn, A., Jasper, A. I., Semedo, J. D., Gokcen, E., Machens, C. K., & Yu, B. M. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.07.001 · Cited by 99 · see citing works
Yang, B., Liang, C., Chen, D., Cheng, F., Zhang, Y., Wang, S., Shu, J., Huang, X., Wang, J., Xia, K., et al. (2021) · Bioactive Materials · doi:10.1016/j.bioactmat.2021.11.032 · Cited by 105 · see citing works
Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings
Siebenhühner, F., Wang, S. H., Arnulfo, G., Lampinen, A., Nobili, L., Palva, J. M., & Palva, S. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000685 · Cited by 101 · see citing works
Inferring neural signalling directionality from undirected structural connectomes
Seguin, C., Razi, A., & Zalesky, A. (2019) · Nature Communications · doi:10.1038/s41467-019-12201-w · Cited by 96 · see citing works
PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction
Zhou, Y., Tan, G., Zhong, R., Li, Y., & Gou, C. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3309309 · Cited by 94 · see citing works
Neural heterogeneity controls computations in spiking neural networks
Gast, R., Solla, S. A., & Kennedy, A. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2311885121 · Cited by 95 · see citing works
The direction of theta and alpha travelling waves modulates human memory processing
Mohan, U. R., Zhang, H., Ermentrout, B., & Jacobs, J. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01838-3 · Cited by 96 · see citing works
Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition
Wang, X.-J. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110920-035434 · Cited by 83 · see citing works
Advances in Conductive Hydrogel for Spinal Cord Injury Repair and Regeneration
Qin, C., Qi, Z., Pan, S., Xia, P., Kong, W., Sun, B., Du, H., Zhang, R., Zhu, L., Zhou, D., et al. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s436111 · Cited by 80 · see citing works
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 74 · see citing works
Out-of-step: brain-heart desynchronization in anxiety disorders
Tumati, S., Paulus, M. P., & Northoff, G. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01029-w · Cited by 68 · see citing works
Towards the Idea of Molecular Brains
Timsit, Y., & Sergeant-Perthuis, G. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111868 · Cited by 72 · see citing works
Multiregion neuronal activity: the forest and the trees
Machado, T. A., Kauvar, I., & Deisseroth, K. A. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00634-0 · Cited by 62 · see citing works
Fuscà, M., Siebenhühner, F., Wang, S. H., Myrov, V. O., Arnulfo, G., Nobili, L., Palva, J. M., & Palva, S. (2023) · Nature Communications · doi:10.1038/s41467-023-40056-9 · Cited by 58 · see citing works
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation
Gast, R., SCHMIDT, H. J., & Knösche, T. R. (2020) · Neural Computation · doi:10.1162/neco_a_01300 · Cited by 53 · see citing works
Brain dynamics for confidence-weighted learning
Meyniel, F. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007935 · Cited by 49 · see citing works
Closing the loop in psychiatric deep brain stimulation: physiology, psychometrics, and plasticity
Widge, A. S. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01643-y · Cited by 46 · see citing works
Ganguly, K., Khanna, P., Morecraft, R. J., & Lin, D. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.024 · Cited by 46 · see citing works
“Entraining” to speech, generating language?
Meyer, L., Sun, Y., & Martin, A. E. (2020) · Language Cognition and Neuroscience · doi:10.1080/23273798.2020.1827155 · Cited by 44 · see citing works
Normalizing the brain connectome for communication through synchronization
Petkoski, S., & Jirsa, V. (2022) · Network Neuroscience · doi:10.1162/netn_a_00231 · Cited by 42 · see citing works
Efficient coding in the economics of human brain connectomics
Zhou, D., Lynn, C. W., Cui, Z., Ćirić, R., Baum, G. L., Moore, T. M., Roalf, D. R., Detre, J. A., Gur, R. C., Gur, R. E., et al. (2021) · Network Neuroscience · doi:10.1162/netn_a_00223 · Cited by 38 · see citing works
Neuronal sequences in population bursts encode information in human cortex
Xie, W., Wittig, J. H., Chapeton, J. I., El-Kalliny, M. M., Jackson, S. N., Inati, S. K., & Zaghloul, K. A. (2024) · Nature · doi:10.1038/s41586-024-08075-8 · Cited by 39 · see citing works
Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays
Schmidt, H., Hahn, G., Deco, G., & Knösche, T. R. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007858 · Cited by 39 · see citing works
Self-citationFriedemann Pulvermüller, A. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102511 · Cited by 46 · see citing works
Dependence of Working Memory on Coordinated Activity Across Brain Areas
Rezayat, E., Clark, K., Dehaqani, M. A., & Noudoost, B. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.787316 · Cited by 40 · see citing works
The expanding horizons of network neuroscience: From description to prediction and control
Srivastava, P., Fotiadis, P., Parkes, L., & Bassett, D. S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119250 · Cited by 36 · see citing works
Beta Rebound as an Index of Temporal Integration of Somatosensory and Motor Signals
Cardellicchio, P., Hilt, P. M., Dolfini, E., Fadiga, L., & D’Ausilio, A. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00063 · Cited by 35 · see citing works
Facilitating the propagation of spiking activity in feedforward networks by including feedback
Rezaei, H., Aertsen, A., Kumar, A., & Valizadeh, A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008033 · Cited by 33 · see citing works
Self-citationMartínez-Ramón, J. P., Morales-Rodríguez, F. M., & Pérez-López, S. (2021) · Applied Sciences · doi:10.3390/app11178206 · Cited by 32 · see citing works
West, T. O., Farmer, S. F., Magill, P. J., Sharott, A., Vladimir Litvak, A., & Cagnan, H. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009887 · Cited by 30 · see citing works
Voloh, B., Oemisch, M., & Womelsdorf, T. (2020) · Nature Communications · doi:10.1038/s41467-020-18435-3 · Cited by 35 · see citing works
Processes and measurements: a framework for understanding neural oscillations in field potentials
van Bree, S., Levenstein, D., Krause, M. R., Voytek, B., & Gao, R. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.12.003 · Cited by 28 · see citing works
Ren, N., Ito, S., Hafizi, H., Beggs, J. M., & Stevenson, I. H. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00066.2020 · Cited by 26 · see citing works
Toward an information theoretical description of communication in brain networks
Amico, E., Abbas, K., Duong-Tran, D. A., Tipnis, U., Rajapandian, M., Chumin, E. J., Ventresca, M., Harezlak, J., & Goñi, J. (2021) · Network Neuroscience · doi:10.1162/netn_a_00185 · Cited by 26 · see citing works
Order parameter dynamics in complex systems: From models to data
Zheng, Z., Xu, C., Fan, J., Liu, M., & Chen, X. (2024) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0180340 · Cited by 24 · see citing works
Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus
Abbaspoor, S., Hussin, A. T., & Hoffman, K. L. (2023) · eLife · doi:10.7554/elife.86548 · Cited by 19 · see citing works
Cingolani, L. A., Vitale, C., & Dityatev, A. E. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00513 · Cited by 22 · see citing works
CMOS Point-of-Care Diagnostics Technologies: Recent Advances and Future Prospects
Moeinfard, T., Ghafar‐Zadeh, E., & Magierowski, S. (2024) · Micromachines · doi:10.3390/mi15111320 · Cited by 20 · see citing works
Jaudon, F., Thalhammer, A., Zentilin, L., & Cingolani, L. A. (2022) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2022.07.013 · Cited by 27 · see citing works
Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
Hahn, G., Kumar, A., SCHMIDT, H. J., Knösche, T. R., & Deco, G. (2022) · eLife · doi:10.7554/elife.77594 · Cited by 18 · see citing works
Self-citationCoordinating brain-distributed network activities in memory resistant to extinction
Clarke-Williams, C. J., Lopes‐dos‐Santos, V., Lefèvre, L., Brizee, D., Causse, A. A., Rothaermel, R., Hartwich, K., Perestenko, P. V., Toth, R. A., McNamara, C. G., et al. (2024) · Cell · doi:10.1016/j.cell.2023.12.018 · Cited by 21 · see citing works
A Shift Toward Supercritical Brain Dynamics Predicts Alzheimer’s Disease Progression
Javed, E., Suárez‐Méndez, I., Susi, G., Verdejo‐Román, J., Palva, J. M., Maestú, F., & Palva, S. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0688-24.2024 · Cited by 19 · see citing works
Yang, Z., Liang, J., & Zhou, C. (2025) · Physical Review Letters · doi:10.1103/physrevlett.134.028401 · Cited by 19 · see citing works
An Asynchronous Spiking Neural Membrane System for Edge Detection
Zhang, L., Xu, F., & Neri, F. (2024) · International Journal of Neural Systems · doi:10.1142/s0129065724500230 · Cited by 18 · see citing works
Multiregional communication and the channel modulation hypothesis
Pesaran, B., Hagan, M. A., Qiao, S., & Shewcraft, R. A. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.11.016 · Cited by 17 · see citing works
Cells, pathways, and models in dyskinesia research
Cenci, M. A., & Kumar, A. (2024) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102833 · Cited by 17 · see citing works
Self-citationFrom Infancy to Childhood: A Comprehensive Review of Event- and Task-Related Brain Oscillations
Ünsal, E., Duygun, R., Yemeniciler, İ., Bingöl, E., Ceran, Ö., & Güntekin, B. (2024) · Brain Sciences · doi:10.3390/brainsci14080837 · Cited by 17 · see citing works
Persistence of information flow: A multiscale characterization of human brain
Benigni, B., Ghavasieh, A., Corso, A., d’Andrea, V., & Domenico, M. D. (2021) · Network Neuroscience · doi:10.1162/netn_a_00203 · Cited by 16 · see citing works
Ashhad, S., Slepukhin, V. M., Feldman, J. L., & Levine, A. J. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1195-22.2022 · Cited by 18 · see citing works
Khanjanianpak, M., Azimi-Tafreshi, N., & Valizadeh, A. (2024) · iScience · doi:10.1016/j.isci.2024.109401 · Cited by 13 · see citing works
An Evolutionary Perspective of Dyslexia, Stress, and Brain Network Homeostasis
Kershner, J. R. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.575546 · Cited by 15 · see citing works
Ji, M., He, X., Shen, J.-C., & Yang, J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201590 · Cited by 15 · see citing works
Foucault, C., & Meyniel, F. (2021) · eLife · doi:10.7554/elife.71801 · Cited by 14 · see citing works
Between-area communication through the lens of within-area neuronal dynamics
Gozel, O., & Doiron, B. (2024) · Science Advances · doi:10.1126/sciadv.adl6120 · Cited by 14 · see citing works
Routing states transition during oscillatory bursts and attentional selection
Boroujeni, K. B., & Womelsdorf, T. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.012 · Cited by 14 · see citing works
Multisensory deficits in dyslexia may result from a locus coeruleus attentional network dysfunction
Kershner, J. R. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.108023 · Cited by 15 · see citing works
Modulation of inhibitory communication coordinates looking and reaching
Hagan, M. A., & Pesaran, B. (2022) · Nature · doi:10.1038/s41586-022-04631-2 · Cited by 14 · see citing works
Meng, L., Zhang, R., Lin, L., & Wang, H. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-10142-8 · Cited by 13 · see citing works
Dai, S., Lu, L., Wei, Z., Zhu, Y., & Yi, M. (2022) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.112762 · Cited by 13 · see citing works
Genuine cross-frequency coupling networks in human resting-state electrophysiological recordingsPreprint
Siebenhühner, F., Wang, S. H., Arnulfo, G., Lampinen, A., Nobili, L., Palva, J. M., & Palva, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/547638 · Cited by 13 · see citing works
Ni, R., Lu, S., Hu, C., & Yang, B. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3633415 · Cited by 12 · see citing works
Cross-shape reconfigurable field effect transistor for flexible signal routing
Çakırlar, Ç., Simon, M., Galderisi, G., O’Connor, I., Mikolajick, T., & Trommer, J. (2023) · Materials Today Electronics · doi:10.1016/j.mtelec.2023.100040 · Cited by 12 · see citing works
Vibrational Stabilization of Cluster Synchronization in Oscillator Networks
Qin, Y., Nobili, A. M., Bassett, D. S., & Pasqualetti, F. (2023) · IEEE Open Journal of Control Systems · doi:10.1109/ojcsys.2023.3331195 · Cited by 12 · see citing works
Topology optimization of random memristors for input-aware dynamic SNN
Wang, B., Zhang, X., Wang, S., Lin, N., Li, Y., Yu, Y., Zhang, Y., Yang, J., Wu, X., He, Y., et al. (2025) · Science Advances · doi:10.1126/sciadv.ads5340 · Cited by 12 · see citing works
Functional brain network dynamics based on the Hindmarsh–Rose model
Lv, G., Zhang, N., Ma, K., Weng, J., Zhu, P., Chen, F., & Guo-guang, H. (2021) · Nonlinear Dynamics · doi:10.1007/s11071-021-06318-1 · Cited by 12 · see citing works
Contribution of membrane-associated oscillators to biological timing at different timescales
Stengl, M., & Schneider, A. C. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2023.1243455 · Cited by 15 · see citing works
López-Madrona, V. J., Matias, F. S., Mirasso, C. R., Canals, S., & Pereda, E. (2019) · Scientific Reports · doi:10.1038/s41598-019-53453-2 · Cited by 11 · see citing works
Beyond neurons and spikes: cognon, the hierarchical dynamical unit of thought
Rabinovich, M. I., Bick, C., & Varona, P. (2023) · Cognitive Neurodynamics · doi:10.1007/s11571-023-09987-3 · Cited by 10 · see citing works
Lévy noise-induced coherence resonance in neural maps
Владиславовна, Р. Е., Ryabov, A., Muni, S. S., & Strelkova, G. I. (2024) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.115210 · Cited by 10 · see citing works
Xia, Z., Chen, Y., Su, L., & Chen, H. (2025) · Journal of Material Science and Technology · doi:10.1016/j.jmst.2025.05.007 · Cited by 10 · see citing works
Michail, G., Senkowski, D., Holtkamp, M., Wächter, B., & Keil, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119307 · Cited by 9 · see citing works
Macrophage calcium reporter mice reveal immune cell communication in vitro and in vivo
Taghdiri, N., Calcagno, D. M., Fu, Z., Huang, K., Köhler, R. H., Weissleder, R., Coleman, T. P., & King, K. R. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100132 · Cited by 9 · see citing works
Dynamic Computation in Visual Thalamocortical Networks
Moyal, R., & Edelman, S. (2019) · Entropy · doi:10.3390/e21050500 · Cited by 8 · see citing works
Akbari, M. K., & Zhuiykov, S. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c17584 · Cited by 9 · see citing works
Episodic memory in aspects of brain information transfer by resting-state network topology
Yan, T., Wang, G., Wang, L., Liu, T., Li, T., Wang, L., Chen, D., Funahashi, S., Wu, J., Wang, B., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab526 · Cited by 9 · see citing works
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation
Qin, Y., Bassett, D. S., & Pasqualetti, F. (2022) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc51059.2022.9993303 · Cited by 9 · see citing works
Yan, H., & Graham, D. (2020) · Network Neuroscience · doi:10.1162/netn_a_00165 · Cited by 9 · see citing works
Sustainable hydrogels as conductive platforms for neural applications
Sriramakrishnan, J., Bhowmick, A., Thakur, G., & Kumar, P. (2025) · Reactive and Functional Polymers · doi:10.1016/j.reactfunctpolym.2025.106427 · Cited by 8 · see citing works
Kim, G., Hong, Y., Lee, H., Kim, M., Eun, J., Lee, J., Lee, S., Chou, N., & Shin, H. (2025) · Small Methods · doi:10.1002/smtd.202501384 · Cited by 8 · see citing works
Probing neural networks for dynamic switches of communication pathways
Finger, H., Gast, R., Gerloff, C. P., Engel, A. K., & Peter König, B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007551 · Cited by 8 · see citing works
Martínez-Ramón, J. P., & Rodríguez, F. M. M. (2020) · Sustainability · doi:10.3390/su12187396 · Cited by 8 · see citing works
Measuring excitation-inhibition balance through spectral components of local field potentialsPreprint
Diehl, G. W., & Redish, A. D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.24.577086 · Cited by 8 · see citing works
Quantum information theoretic approach to the hard problem of consciousness
Georgiev, D. D. (2025) · Biosystems · doi:10.1016/j.biosystems.2025.105458 · Cited by 7 · see citing works
Farahani, A., Liu, Z.-Q., Ceballos, E. G., Hansen, J. Y., Wennberg, K., Zeighami, Y., Dadar, M., Gauthier, C. J., Dagher, A., & Mišić, B. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003277 · Cited by 12 · see citing works
Low frequency independent components: Internal neuromarkers linking cortical LFPs to behavior
Villavicencio, D. V. O., Donoghue, J. P., & Vargas-Irwin, C. E. (2023) · iScience · doi:10.1016/j.isci.2023.108310 · Cited by 7 · see citing works
Golden rhythms as a theoretical framework for cross-frequency organization
Kramer, M. (2022) · Neurons Behavior Data analysis and Theory · doi:10.51628/001c.38960 · Cited by 7 · see citing works
Directed functional and structural connectivity in a large-scale model for the mouse cortex
Nunes, R. V., Reyes, M. B., Mejías, J. F., & Camargo, R. Y. D. (2021) · Network Neuroscience · doi:10.1162/netn_a_00206 · Cited by 7 · see citing works
Correction of β3 integrin haplo-insufficiency by CRISPRa normalizes cortical network activityPreprint
Jaudon, F., Thalhammer, A., & Cingolani, L. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/664706 · Cited by 7 · see citing works
van Bree, S., Levenstein, D., Krause, M. R., Voytek, B., & Gao, R. (2024) · doi:10.31234/osf.io/knjfw · Cited by 7 · see citing works
Oscillatory mechanisms of intrinsic human brain networks
Luo, Y., Meng, X., Zhou, G., Zhou, J., Luo, Y., Ai, H., Zelano, C., Chen, F., & Xu, P. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120773 · Cited by 6 · see citing works
- Authors
- Hahn, G., Ponce-Alvarez, A., Deco, G., Aertsen, A., & Kumar, A.
- Affiliations
- Universitat Pompeu Fabra (ES)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- University of Freiburg (DE)
- Corresponding author
- Hahn, Gerald
- Kumar, Arvind
- Venue
- Nature reviews. Neuroscience
- Published
- 2018-12-14
- Volume
- 20
- Issue
- 2
- Pages
- 117-127
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2904837629
- Cited by
- 171
- References
- 115
- Citations by year
- 2026: 9 · 2025: 26 · 2024: 28 · 2023: 21 · 2022: 24 · 2021: 27 · 2020: 23 · 2019: 13
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
- Keywords
- spiking neurons, brain networks, alpha oscillations, theta oscillations, gamma oscillations, network resonance, neural entrainment, synchrony
- MeSH terms
- Action Potentials, Animals, Cell Communication, Humans, Models, Neurological, Nerve Net, Synaptic Transmission, Neurons
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