The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity
Abstract
How can neural activity propagate through cortical networks built with weak, stochastic synapses? We find precise repetitions of spontaneous patterns of synaptic inputs in neocortical neurons in vivo and in vitro. These patterns repeat after minutes, maintaining millisecond accuracy. Calcium imaging of slices reveals reactivation of sequences of cells during the occurrence of repeated intracellular synaptic patterns. The spontaneous activity drifts with time, engaging different cells. Sequences of active neurons have distinct spatial structures and are repeated in the same order over tens of seconds, revealing modular temporal dynamics. Higher order sequences are replayed with compressed timing.
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
“Repeated spontaneous activation of neuron assemblies does occur106,107”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [106]
Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Maass, W., Natschläger, T., & Markram, H. (2002) · Neural Computation · doi:10.1162/089976602760407955 · Cited by 4,025
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
Synaptic depression and cortical gain control
Abbott, L. F., Varela, J. A., Sen, K., & Nelson, S. B. (1997) · Science · doi:10.1126/science.275.5297.221 · Cited by 1,690
Abeles, M. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511574566 · Cited by 1,341
Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience
Skaggs, W. E., & McNaughton, B. L. (1996) · Science · doi:10.1126/science.271.5257.1870 · Cited by 1,173
Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep
Louie, K., & Wilson, M. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00186-6 · Cited by 1,148
Synaptic reverberation underlying mnemonic persistent activity
Wang, X.-J. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01868-3 · Cited by 1,059
Turning on and off recurrent balanced cortical activity
Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054
Flagged first, then by citations
1 of the 34 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- L. F. Abbottet al., Science275, 220 (1997).
- W. Maass, T. Natschlager, H. Markram, Neural Comput.14, 2531 (2003).
Cited by
Sorted by citations
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
Weak pairwise correlations imply strongly correlated network states in a neural population
Schneidman, E., Berry, M. J., Segev, R., & Bialek, W. (2006) · Nature · doi:10.1038/nature04701 · Cited by 1,745
Highly nonrandom features of synaptic connectivity in local cortical circuits
Song, S., Sjöström, P. J., Reigl, M., Nelson, S., & Chklovskii, D. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030068 · Cited by 1,512
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289
Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
Dodt, H., Leischner, U., Schierloh, A., Jährling, N., Mauch, C. P., Deininger, K., Deussing, J. M., Eder, M., Zieglgänsberger, W., & Becker, K. (2007) · Nature Methods · doi:10.1038/nmeth1036 · Cited by 1,240
Polychronization: Computation with Spikes
Izhikevich, E. M. (2005) · Neural Computation · doi:10.1162/089976606775093882 · Cited by 1,082
Dynamical principles in neuroscience
Rabinovich, M. I., Varona, P., Selverston, A. I., & Abarbanel, H. D. I. (2006) · Reviews of Modern Physics · doi:10.1103/revmodphys.78.1213 · Cited by 839
Electrical activity in early neuronal development
Spitzer, N. (2006) · Nature · doi:10.1038/nature05300 · Cited by 790
From the neuron doctrine to neural networks
Yuste, R. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3962 · Cited by 802
Self-citationStatistically optimal perception and learning: from behavior to neural representations
Fiser, J., Berkes, P., Orbán, G., & Lengyel, M. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.003 · Cited by 672
MacDonald, S. W. S., Nyberg, L., & Bäckman, L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.06.011 · Cited by 664
Thalamic amplification of cortical connectivity sustains attentional control
Schmitt, L. I., Wimmer, R. D., Nakajima, M., Happ, M., Mofakham, S., & Halassa, M. M. (2017) · Nature · doi:10.1038/nature22073 · Cited by 663
Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits
Szabadics, J., Varga, C., Molnár, G., Oláh, S., Barzó, P., & Tamás, G. (2006) · Science · doi:10.1126/science.1121325 · Cited by 598
Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
Luczak, A., Barthó, P., & Harris, K. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.014 · Cited by 593
González‐Burgos, G., & Lewis, D. A. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn070 · Cited by 592
Sequential structure of neocortical spontaneous activity in vivo
Luczak, A., Barthó, P., Marguet, S. L., Buzsáki, G., & Harris, K. D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605643104 · Cited by 515
Imaging input and output of neocortical networks in vivo
Kerr, J. N. D., Greenberg, D., & Helmchen, F. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506029102 · Cited by 474
Haldeman, C. L., & Beggs, J. M. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.058101 · Cited by 464
Fast nonnegative deconvolution for spike train inference from population calcium imaging
Vogelstein, J. T., Packer, A. M., Machado, T. A., Sippy, T., Babadi, B., Yuste, R., & Paninski, L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01073.2009 · Cited by 449
Self-citationKumar, A., Rotter, S., & Aertsen, A. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2886 · Cited by 446
The restless brain: How intrinsic activity organizes brain function
Raichle, M. E. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0172 · Cited by 433
Evidence of an inhibitory restraint of seizure activity in humans
Schevon, C. A., Weiss, S. A., McKhann, G. M., Goodman, R. R., Yuste, R., Emerson, R. G., & Trevelyan, A. J. (2012) · Nature Communications · doi:10.1038/ncomms2056 · Cited by 430
Self-citationDynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons
Eytan, D., & Marom, S. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1627-06.2006 · Cited by 402
Support for a synaptic chain model of neuronal sequence generation
Long, M. A., Jin, D. Z., & Fee, M. S. (2010) · Nature · doi:10.1038/nature09514 · Cited by 409
The organizing principles of neuronal avalanches: cell assemblies in the cortex?
Plenz, D., & Thiagarajan, T. C. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.01.005 · Cited by 373
Internal Dynamics Determine the Cortical Response to Thalamic Stimulation
MacLean, J. N., Watson, B. O., Aaron, G. B., & Yuste, R. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.035 · Cited by 373
Self-citationBuzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 383
Regulation of spike timing in visual cortical circuits
Tiesinga, P. H. E., Fellous, J., & B, T. J. S. A. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2315 · Cited by 361
Nanotools for Neuroscience and Brain Activity Mapping
Alivisatos, A. P., Andrews, A. M., Boyden, E. S., Chun, M., Church, G. M., Deisseroth, K. A., Donoghue, J. P., Fraser, S. E., Lippincott‐Schwartz, J., Looger, L. L., et al. (2013) · ACS Nano · doi:10.1021/nn4012847 · Cited by 359
Self-citationThe cortex as a central pattern generator
Yuste, R., MacLean, J. N., Smith, J., & Lansner, A. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1686 · Cited by 355
Self-citationLocally synchronized synaptic inputs
Takahashi, N., Kitamura, K., Matsuo, N., Mayford, M., Kano, M., Matsuki, N., & Ikegaya, Y. (2012) · Science · doi:10.1126/science.1210362 · Cited by 352
Self-citationRecurrent network models of sequence generation and memory
Rajan, K., Harvey, C. D., & Tank, D. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.009 · Cited by 351
A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing
Nahmias, M. A., Shastri, B. J., Tait, A. N., & Prucnal, P. R. (2013) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2013.2257700 · Cited by 346
Modular Propagation of Epileptiform Activity: Evidence for an Inhibitory Veto in Neocortex
Trevelyan, A. J., Sussillo, D., Watson, B. O., & Yuste, R. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2787-06.2006 · Cited by 344
Self-citationCompetitive STDP-Based Spike Pattern Learning
Masquelier, T., Guyonneau, R., & Thorpe, S. J. (2009) · Neural Computation · doi:10.1162/neco.2008.06-08-804 · Cited by 343
Controlling Visually Guided Behavior by Holographic Recalling of Cortical Ensembles
Carrillo‐Reid, L., Han, S., Yang, W., Akrouh, A., & Yuste, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.045 · Cited by 335
Self-citationThe right time to learn: Mechanisms and optimization of spaced learning
Smolen, P., Zhang, Y., & Byrne, J. H. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.18 · Cited by 326
Universal features of correlated bursty behaviour
Karsai, M., Kaski, K. K., Barabási, A.-Ĺ., & Kertész, J. (2012) · Scientific Reports · doi:10.1038/srep00397 · Cited by 313
A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical NetworksIn Vitro
Tang, A., Jackson, D., Hobbs, J., Chen, W., Smith, J. L., Patel, H., Prieto, A., Petrusca, D., Grivich, M. I., Sher, A., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3359-07.2008 · Cited by 295
Temporally precise single-cell-resolution optogenetics
Shemesh, O. A., Tanese, D., Zampini, V., Linghu, C., Piatkevich, K. D., Ronzitti, E., Papagiakoumou, E. I., Boyden, E. S., & Emiliani, V. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0018-8 · Cited by 270
Visual stimuli recruit intrinsically generated cortical ensembles
Miller, J.-E. K., Ayzenshtat, I., Carrillo-Reid, L., & Yuste, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406077111 · Cited by 288
Self-citationThe 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
A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons
Abbott, J., Ye, T., Krenek, K., Gertner, R. S., Ban, S., Kim, Y., Qin, L., Wu, W., Park, H., & Ham, D. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0455-7 · Cited by 272
Philosophy of the Spike: Rate-Based vs. Spike-Based Theories of the Brain
Brette, R. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00151 · Cited by 282
Interaction between neocortical and hippocampal networks via slow oscillations
Sirota, A., & Buzsáki, G. (2005) · Thalamus and Related Systems · doi:10.1017/s1472928807000258 · Cited by 270
Fiete, I., Senn, W., Wang, C. Z.-H., & Hahnloser, R. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.003 · Cited by 269
Feedforward Inhibition Contributes to the Control of Epileptiform Propagation Speed
Trevelyan, A. J., Sussillo, D., & Yuste, R. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0145-07.2007 · Cited by 262
Self-citationNeurogeometry and potential synaptic connectivity
STEPANYANTS, A., & CHKLOVSKII, D. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.05.006 · Cited by 254
Spatial Organization of Neuronal Population Responses in Layer 2/3 of Rat Barrel Cortex
Kerr, J. N. D., de Kock, C. P. J., Greenberg, D. S., Bruno, R. M., Sakmann, B. J., & Helmchen, F. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2210-07.2007 · Cited by 264
Inoue, M., Takeuchi, A., Manita, S., Horigane, S., Sakamoto, M., Kawakami, R., Yamaguchi, K., Otomo, K., Yokoyama, H., Kim, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.04.007 · Cited by 245
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
Targeted bulk-loading of fluorescent indicators for two-photon brain imaging in vivo
Garaschuk, O., Milos, R., & Konnerth, A. (2006) · Nature Protocols · doi:10.1038/nprot.2006.58 · Cited by 235
Spontaneous and driven cortical activity: implications for computation.
Ringach, D. L. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.07.005 · Cited by 234
An embedded subnetwork of highly active neurons in the neocortex
Yassin, L., Benedetti, B. L., Jouhanneau, J.-S., Wen, J. A., Poulet, J. F. A., & Barth, A. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.029 · Cited by 227
Synergy, redundancy, and multivariate information measures: an experimentalist’s perspective
Timme, N. M., Alford, W. T., Flecker, B., & Beggs, J. M. (2013) · Journal of Computational Neuroscience · doi:10.1007/s10827-013-0458-4 · Cited by 233
Spike Inference from Calcium Imaging Using Sequential Monte Carlo Methods
Vogelstein, J. T., Watson, B. O., Packer, A. M., Yuste, R., Jedynak, B., & Paninski, L. (2009) · Biophysical Journal · doi:10.1016/j.bpj.2008.08.005 · Cited by 223
Self-citationPredicting spike timing of neocortical pyramidal neurons by simple threshold models
Jolivet, R., Rauch, A., Lüscher, H., & Wulfram Gerstner, B. (2006) · Journal of Computational Neuroscience · doi:10.1007/s10827-006-7074-5 · Cited by 211
Topological analysis of population activity in visual cortex
Singh, G., Memoli, F., Ishkhanov, T., Sapiro, G., Carlsson, G., & Ringach, D. L. (2008) · Journal of Vision · doi:10.1167/8.8.11 · Cited by 213
The Functional Microarchitecture of the Mouse Barrel Cortex
Sato, T., Gray, N. W., Mainen, Z. F., & Svoboda, K. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050189 · Cited by 226
Genetically encoded optical indicators for the analysis of neuronal circuits
Knöpfel, T. (2012) · Nature reviews. Neuroscience · doi:10.1038/nrn3293 · Cited by 205
In VivoPerformance of Genetically Encoded Indicators of Neural Activity in Flies
Reiff, D. F., Ihring, A., Guerrero, G., Isacoff, E. Y., Joesch, M., Nakai, J., & Borst, A. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4900-04.2005 · Cited by 205
Spike Avalanches Exhibit Universal Dynamics across the Sleep-Wake Cycle
Ribeiro, T. L., Copelli, M., Caixeta, F. V., Belchior, H., Chialvo, D. R., Nicolelis, M. A. L., & Ribeiro, S. T. G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014129 · Cited by 200
Egawa, T., Hanaoka, K., Koide, Y., Ujita, S., Takahashi, N., Ikegaya, Y., Matsuki, N., Terai, T., Ueno, T., Komatsu, T., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja205809h · Cited by 203
Self-citationPacket-based communication in the cortex
Luczak, A., McNaughton, B. L., & Harris, K. D. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4026 · Cited by 196
Complex Events Initiated by Individual Spikes in the Human Cerebral Cortex
Molnár, G., Oláh, S., Komlósi, G., Füle, M., Szabadics, J., Varga, C., Barzó, P., & Tamás, G. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060222 · Cited by 197
Neural blackboard architectures of combinatorial structures in cognition
van der Velde, F., & de Kamps, M. (2006) · Behavioral and Brain Sciences · doi:10.1017/s0140525x06009022 · Cited by 198
On How Network Architecture Determines the Dominant Patterns of Spontaneous Neural Activity
Galán, R. F. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002148 · Cited by 185
Encoding Network States by Striatal Cell Assemblies
Carrillo‐Reid, L., Tecuapetla, F., Tapia, D., Hernández‐Cruz, A., Galarraga, E., Drucker-Colín, R., & Bargas, J. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01131.2007 · Cited by 194
Lag threads organize the brain’s intrinsic activity
Mitra, A., Snyder, A. Z., Blazey, T., & Raichle, M. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503960112 · Cited by 191
Post-translational protein modification as the substrate for long-lasting memory
Routtenberg, A., & Rekart, J. L. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.11.006 · Cited by 186
What can we learn from synaptic weight distributions?
Barbour, B., Brunel, N., Hakim, V., & Nadal, J. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.09.005 · Cited by 183
Natural world physical, brain operational, and mind phenomenal space–time
Fingelkurts, A. A., Fingelkurts, A. A., & Neves, C. F. H. (2010) · Physics of Life Reviews · doi:10.1016/j.plrev.2010.04.001 · Cited by 188
Metastability of Active CA3 Networks
Sasaki, T., Matsuki, N., & Ikegaya, Y. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4514-06.2007 · Cited by 178
Self-citationRich-Club Organization in Effective Connectivity among Cortical Neurons
Nigam, S., Shimono, M., Ito, S., Yeh, F.-C., Timme, N. M., Myroshnychenko, M., Lapish, C. C., Tosi, Z., Hottowy, P., Smith, W. C., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2177-15.2016 · Cited by 176
The Locus Coeruleus Is a Complex and Differentiated Neuromodulatory System
Totah, N. K., Neves, R. M., Panzeri, S., Logothetis, N. K., & Eschenko, O. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.037 · Cited by 179
Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold
Kobayashi, R. (2009) · Frontiers in Computational Neuroscience · doi:10.3389/neuro.10.009.2009 · Cited by 177
Synchronization likelihood with explicit time-frequency priors
Montez, T., Linkenkaer‐Hansen, K., van Dijk, B. W., & Stam, C. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.066 · Cited by 176
A hybrid approach to measuring electrical activity in genetically specified neurons
Chanda, B., Blunck, R., Faria, L. C., Schweizer, F. E., Módy, I., & Bezanilla, F. (2005) · Nature Neuroscience · doi:10.1038/nn1558 · Cited by 175
Portraits of communication in neuronal networks
Hahn, G., Ponce-Alvarez, A., Deco, G., Aertsen, A., & Kumar, A. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0094-0 · Cited by 171
Galimberti, I., Gogolla, N., Alberi, S., Santos, A. F., Müller, D., & Caroni, P. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.026 · Cited by 171
Ratté, S., Hong, S., Schutter, E. D., & Prescott, S. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.030 · Cited by 164
Dynamic functional connectivity
Ioannides, A. A. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.03.008 · Cited by 154
Non-Gaussian Membrane Potential Dynamics Imply Sparse, Synchronous Activity in Auditory Cortex
DeWeese, M. R., & Zador, A. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2813-06.2006 · Cited by 155
Barrel cortex and whisker-mediated behaviors
Brecht, M. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.07.008 · Cited by 149
Interpyramid Spike Transmission Stabilizes the Sparseness of Recurrent Network Activity
Ikegaya, Y., Sasaki, T., Ishikawa, D., Honma, N., Tao, K., Takahashi, N., Minamisawa, G., Ujita, S., & Matsuki, N. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs006 · Cited by 146
Self-citationAtypical intrinsic neural timescale in autism
Watanabe, T., Rees, G., & Masuda, N. (2019) · eLife · doi:10.7554/elife.42256 · Cited by 150
Bellay, T., Klaus, A., Seshadri, S., & Plenz, D. (2015) · eLife · doi:10.7554/elife.07224 · Cited by 148
The Structure of Large-Scale Synchronized Firing in Primate Retina
Shlens, J., Field, G. D., Gauthier, J. L., Greschner, M., Sher, A., Litke, A. M., & Chichilnisky, E. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5187-08.2009 · Cited by 145
Stewart, C. V., & Plenz, D. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0723-06.2006 · Cited by 147
Fast Functional Imaging of Single Neurons Using Random-Access Multiphoton (RAMP) Microscopy
Iyer, V., Hoogland, T. M., & Saggau, P. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00865.2005 · Cited by 146
Schröter, M. S., Charlesworth, P., Kitzbichler, M. G., Paulsen, O., & Bullmore, E. T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4259-14.2015 · Cited by 149
Persistently active, pacemaker-like neurons in neocortex
Bon-Jégo, M. L. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.009.2007 · Cited by 145
Precisely timed spatiotemporal patterns of neural activity in dissociated cortical cultures
Rolston, J. D., Wagenaar, D. A., & Potter, S. M. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.05.025 · Cited by 145
Synaptic mechanisms of persistent reverberatory activity in neuronal networks
Lau, P.-M., & Bi, G. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500717102 · Cited by 146
A benchmark test for a quantitative assessment of simple neuron models
Jolivet, R., Kobayashi, R., Rauch, A., Naud, R., Shinomoto, S., & Wulfram Gerstner, B. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.11.006 · Cited by 145
Circuit topology for synchronizing neurons in spontaneously active networks
Takahashi, N., Sasaki, T., Matsumoto, W., Matsuki, N., & Ikegaya, Y. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914594107 · Cited by 143
Self-citationTwo-photon calcium imaging of neuronal activity
Grienberger, C., Giovannucci, A., Zeiger, W., & Portera‐Cailliau, C. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00147-1 · Cited by 159
Data-Driven Significance Estimation for Precise Spike Correlation
Grün, S. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00093.2008 · Cited by 142
Endogenous Sequential Cortical Activity Evoked by Visual Stimuli
Carrillo‐Reid, L., Miller, J.-E. K., Hamm, J. P., Jackson, J., & Yuste, R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5214-14.2015 · Cited by 136
Self-citationReliable and Elastic Propagation of Cortical Seizures In Vivo
Wenzel, M., Hamm, J. P., Peterka, D. S., & Yuste, R. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.05.090 · Cited by 139
Self-citation
Metadata
- Authors
- Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Ikegaya, Yuji
- Aaron, Gloster
- Yuste, Rafael
- Venue
- Science
- Published
- 2004-04-23
- Volume
- 304
- Issue
- 5670
- Pages
- 559-564
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2064869244
- Cited by
- 838
- References
- 34
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 20 · 2023: 33 · 2022: 26 · 2021: 26 · 2020: 24 · 2019: 49 · 2018: 21 · 2017: 24 · 2016: 42 · 2015: 43 · 2014: 39 · 2013: 50 · 2012: 41
- FWCI
- 27.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- synfire chains, spontaneous neuronal activity, neocortical neurons, calcium imaging, temporal dynamics, stochastic synapses
- MeSH terms
- Action Potentials, Animals, Benzazepines, Calcium, Cats, Mice, Inbred C57BL, Nerve Net, Synaptic Transmission, Neurons, Synapses, Time Factors, Visual Cortex, 2,3,4,5-Tetrahydro-7,8-dihydroxy-1-phenyl-1H-3-benzazepine, 2-Amino-5-phosphonovalerate, Receptors, N-Methyl-D-Aspartate, Prefrontal Cortex, Receptors, Dopamine D1, Pyramidal Cells, Patch-Clamp Techniques, Microscopy, Confocal, Excitatory Postsynaptic Potentials, Mice, In Vitro Techniques
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