Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
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Neocortical assemblies produce complex activity patterns both in response to sensory stimuli and spontaneously without sensory input. To investigate the structure of these patterns, we recorded from populations of 40-100 neurons in auditory and somatosensory cortices of anesthetized and awake rats using silicon microelectrodes. Population spike time patterns were broadly conserved across multiple sensory stimuli and spontaneous events. Although individual neurons showed timing variations between stimuli, these were not sufficient to disturb a generally conserved sequential organization observed at the population level, lasting for approximately 100 ms with spiking reliability decaying progressively after event onset. Preserved constraints were also seen in population firing rate vectors, with vectors evoked by individual stimuli occupying subspaces of a larger but still constrained space outlined by the set of spontaneous events. These results suggest that population spike patterns are drawn from a limited "vocabulary," sampled widely by spontaneous events but more narrowly by sensory responses.
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A growing body of experimental evidence suggests that the patterns of neuronal interactions relevant for consciousness must not only be tightly integrated through feedforward and feedback connections but must also be differentiated and information rich.
“A growing body of experimental evidence suggests that the patterns of neuronal interactions that are relevant for consciousness must not only be tightly integrated through feedforward and feedback connections but must also be differentiated and information rich.32,168,169”
From An integrative, multiscale view on neural theories of consciousness (2024) · cites this paper as [168]
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Experimental — accuracy not yet measuredSpontaneous activity is not random and is determined by similar or the same neural circuits involved in sensory responses.
“However, spontaneous activity is not random and is determined by the operation of similar or the same neural circuits involved in sensory responses”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Luczak et al., 2009
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Hapeman, D. E., & Agresti, A. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,406 · see citing works
(1961) · Information and Control · doi:10.1016/s0019-9958(61)80064-8 · Cited by 2,904 · see citing works
Multivariate Density Estimation, Theory, Practice, and Visualbation
Ramsay, P. H. (1993) · Technometrics · doi:10.1080/00401706.1993.10485361 · Cited by 2,843 · see citing works
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903 · see citing works
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 1,701 · see citing works
Coordinated memory replay in the visual cortex and hippocampus during sleep
Ji, D., & Wilson, M. A. (2007) · Nature Neuroscience · doi:10.1038/nn1825 · Cited by 1,669 · see citing works
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539 · see citing works
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 · see citing works
Is neocortex essentially multisensory?
GHAZANFAR, A., & SCHROEDER, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.04.008 · Cited by 1,463 · 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
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296 · see citing works
Correlated neuronal discharge rate and its implications for psychophysical performance
Zohary, E., Shadlen, M. N., & Newsome, W. T. (1994) · Nature · doi:10.1038/370140a0 · Cited by 1,237 · see citing works
The sleep slow oscillation as a traveling wave
Massimini, M., Huber, R., Ferrarelli, F., Hill, S., & Tononi, G. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1318-04.2004 · Cited by 1,221 · see citing works
Forward and reverse hippocampal place-cell sequences during ripples
Diba, K., & Buzsáki, G. (2007) · Nature Neuroscience · doi:10.1038/nn1961 · Cited by 1,205 · see citing works
Walker, M. P., & Stickgold, R. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070307 · Cited by 1,075 · cited 2× · see citing works
“In vivo recordings in hippocampus and neocortex have shown that spontaneous patterns during resting or sleep may mimic those seen in prior behavior (Diba and Buzsaki, 2007; Hoffman and McNaughton, 2002; Ji and Wilson, 2007; Walker and Stickgold, 2006).”
BackgroundSuárez, E. L., Pérez, C. M., Nogueras, G. M., & Moreno-Gorrín, C. (2016) · CRC Press eBooks · doi:10.1201/b19547-8 · Cited by 1,052 · see citing works
Multivariate Density Estimation, Theory, Practice, and Visualization
Ramsay, P. H., & Scott, D. W. (1993) · Technometrics · doi:10.2307/1270280 · Cited by 987 · 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
Communication between neocortex and hippocampus during sleep in rodents
Sirota, A., Csicsvari, J., Buhl, D., & Buzsáki, G. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0437938100 · Cited by 930 · see citing works
Spontaneously emerging cortical representations of visual attributes
Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A., & Arieli, A. (2003) · Nature · doi:10.1038/nature02078 · Cited by 924 · see citing works
Steriade, M., Nunez, A., & Amzica, F. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03266.1993 · Cited by 894 · see citing works
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M. B., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 888 · see citing works
Self-citationOrganization of cell assemblies in the hippocampus
Harris, K. D., Csicsvari, J. L., Hirase, H., Dragoi, G., & Buzsáki, G. (2003) · Nature · doi:10.1038/nature01834 · Cited by 869 · see citing works
Self-citationSynfire 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
Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice
Poulet, J. F. A., & Petersen, C. C. H. (2008) · Nature · doi:10.1038/nature07150 · Cited by 796 · see citing works
Origin of Slow Cortical Oscillations in Deafferented Cortical Slabs
Timofeev, I. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.12.1185 · Cited by 710 · see citing works
Linking Spontaneous Activity of Single Cortical Neurons and the Underlying Functional Architecture
Tsodyks, M. V., Kenet, T., Grinvald, A., & Arieli, A. (1999) · Science · doi:10.1126/science.286.5446.1943 · Cited by 702 · see citing works
Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex
Petersen, C. C. H., Hahn, T. T. G., Mehta, M. R., Grinvald, A., & Sakmann, B. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2235811100 · Cited by 673 · see citing works
Attractor dynamics of network UP states in the neocortex
Cossart, R., Aronov, D., & Yuste, R. (2003) · Nature · doi:10.1038/nature01614 · Cited by 659 · see citing works
Reward Timing in the Primary Visual Cortex
Shuler, M. G. H., & Bear, M. F. (2006) · Science · doi:10.1126/science.1123513 · Cited by 650 · see citing works
Sparse Representation of Sounds in the Unanesthetized Auditory Cortex
Hromádka, T., DeWeese, M. R., & Zador, A. M. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060016 · Cited by 572 · see citing works
Auditory attention — focusing the searchlight on sound
Fritz, J. B., Elhilali, M., David, S. V., & Shamma, S. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.07.011 · Cited by 521 · see citing works
Molecular taxonomy of major neuronal classes in the adult mouse forebrain
Sugino, K., Hempel, C. M., Miller, M. N., Hattox, A. M., Shapiro, P., Wu, C., Huang, Z. J., & Nelson, S. B. (2006) · Nature Neuroscience · doi:10.1038/nn1618 · Cited by 521 · see citing works
Sequential structure of neocortical spontaneous activity <i>in vivo</i>
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 · see citing works
Self-citationHazan, L., Zugaro, M. B., & Buzsáki, G. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.01.017 · Cited by 492 · see citing works
Neural signatures of cell assembly organization
Harris, K. D. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1669 · Cited by 443 · see citing works
Self-citationFlow of excitation within rat barrel cortex on striking a single vibrissa
Armstrong‐James, M., Fox, K. D., & Das-Gupta, A. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.68.4.1345 · Cited by 426 · see citing works
How independent are the messages carried by adjacent inferior temporal cortical neurons?
Gawne, T. J., & Richmond, B. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-07-02758.1993 · Cited by 425 · see citing works
Corticonics: Neural Circuits of the Cerebral Cortex
Braitenberg, V. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90361-b · Cited by 425 · see citing works
The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex
Panzeri, S., Petersen, R. S., Schultz, S. R., Lebedev, M., & Diamond, M. E. (2001) · Neuron · doi:10.1016/s0896-6273(01)00251-3 · Cited by 422 · see citing works
Coordinated Reactivation of Distributed Memory Traces in Primate Neocortex
Hoffman, K. L., & McNaughton, B. L. (2002) · Science · doi:10.1126/science.1073538 · Cited by 420 · see citing works
Optican, L. M., & Richmond, B. J. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.57.1.162 · Cited by 380 · see citing works
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 · see citing works
Kandel, A., & Buzsáki, G. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-17-06783.1997 · Cited by 357 · see citing works
Cannabinoids reveal importance of spike timing coordination in hippocampal function
Robbe, D., Montgomery, S. M., Thome, A., Rueda-Orozco, P. E., McNaughton, B. L., & Buzsaki, G. (2006) · Nature Neuroscience · doi:10.1038/nn1801 · Cited by 333 · see citing works
Dynamics of Spontaneous Activity in Neocortical Slices
Mao, B.-Q., Hamzei‐Sichani, F., Aronov, D., Froemke, R. C., & Yuste, R. (2001) · Neuron · doi:10.1016/s0896-6273(01)00518-9 · Cited by 319 · see citing works
Hippocampal sharp wave bursts coincide with neocortical “up-state” transitions
Battaglia, F. P., Sutherland, G. R., & McNaughton, B. L. (2004) · Learning & Memory · doi:10.1101/lm.73504 · Cited by 310 · cited 2× · see citing works
“Cortical circuits both in vitro and in vivo during resting and sleep spontaneously produce periods of activity known as ‘‘upstates’’ (Battaglia et al., 2004; Luczak et al., 2007; Massimini et al., 2004; Petersen et al., 2003; Sirota et al., 2003; Steriade et al., 1993a).”
BackgroundOrganization of auditory cortex in the albino rat: sound frequency
Sally, S. L., & Kelly, J. B. (1988) · Journal of Neurophysiology · doi:10.1152/jn.1988.59.5.1627 · Cited by 297 · see citing works
Nonauditory Events of a Behavioral Procedure Activate Auditory Cortex of Highly Trained Monkeys
Brosch, M., Selezneva, E., & Scheich, H. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.1571-05.2005 · Cited by 279 · see citing works
Reduction of Information Redundancy in the Ascending Auditory Pathway
Chechik, G., Anderson, M. J., Bar‐Yosef, O., Young, E. D., Tishby, N., & Nelken, I. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.030 · Cited by 240 · see citing works
Redefining the tonotopic core of rat auditory cortex: Physiological evidence for a posterior field
Doron, N. N., LeDoux, J. E., & Semple, M. N. (2002) · The Journal of Comparative Neurology · doi:10.1002/cne.10412 · Cited by 197 · see citing works
State changes rapidly modulate cortical neuronal responsiveness
Hasenstaub, A., Sachdev, R. N. S., & McCormick, D. A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2184-07.2007 · Cited by 196 · see citing works
First-spike latency of auditory neurons revisited
Heil, P. F. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.07.002 · Cited by 170 · see citing works
Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex
Nelken, I., Chechik, G., Mrsic‐Flogel, T. D., King, A. J., & Schnupp, J. W. H. (2005) · Journal of Computational Neuroscience · doi:10.1007/s10827-005-1739-3 · Cited by 156 · see citing works
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 · see citing works
Contrasting Effects of the Persistent Na+ Current on Neuronal Excitability and Spike Timing
Vervaeke, K., Hu, H., Graham, L. J., & Storm, J. F. (2006) · Neuron · doi:10.1016/j.neuron.2005.12.022 · Cited by 152 · see citing works
Characterisation of multiple physiological fields within the anatomical core of rat auditory cortex
Rutkowski, R. G., Miasnikov, A. A., & Weinberger, N. M. (2003) · Hearing Research · doi:10.1016/s0378-5955(03)00182-5 · Cited by 151 · see citing works
Baker, S. N., & Lemon, R. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.4.1770 · Cited by 145 · see citing works
Redundancy and Synergy of Neuronal Ensembles in Motor Cortex
Narayanan, N. S., Kimchi, E. Y., & Laubach, M. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4697-04.2005 · Cited by 131 · see citing works
Mugavin, M. E. (2008) · Nursing Research · doi:10.1097/01.nnr.0000280659.88760.7c · Cited by 108 · see citing works
de Kock, C. P. J., & Sakmann, B. J. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.155580 · Cited by 107 · see citing works
Correlated neural activity as the driving force for functional changes in auditory cortex
Eggermont, J. J. (2007) · Hearing Research · doi:10.1016/j.heares.2007.01.008 · Cited by 106 · see citing works
Neural Noise and Movement-Related Codes in the Macaque Supplementary Motor Area
Averbeck, B. B., & Lee, D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-20-07630.2003 · Cited by 102 · see citing works
Oram, M. W., Hatsopoulos, N. G., Richmond, B. J., & Donoghue, J. P. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1700 · Cited by 102 · see citing works
The Role of Correlations in Direction and Contrast Coding in the Primary Visual Cortex
Montani, F., Kohn, A., Smith, M. A., & Schultz, S. R. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3417-06.2007 · Cited by 98 · see citing works
Population coding in somatosensory cortex
Petersen, R. S. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00338-0 · Cited by 95 · see citing works
Mokeichev, 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
Laminar differences in the response properties of cells in the primary auditory cortex
Wallace, M. N., & Palmer, A. R. (2007) · Experimental Brain Research · doi:10.1007/s00221-007-1092-z · Cited by 87 · see citing works
The temporal resolution of neural codes: does response latency have a unique role?
Oram, M. W., Xiao, D. K., Dritschel, B., & Payne, K. R. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1113 · Cited by 61 · see citing works
Jung, M. W., Qin, Y., Lee, D., & Mook‐Jung, I. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-16-06166.2000 · Cited by 49 · see citing works
Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model
Kang, S., Kitano, K., & Fukai, T. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000022 · Cited by 37 · see citing works
Firing rate modulation: A simple statistical view of memory trace reactivation
Battaglia, F. P., Sutherland, G. R., Cowen, S. L., Naughton, B. L. M., & Harris, K. D. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.08.011 · Cited by 35 · see citing works
Self-citationYee, T. W. (2003) · Journal of the Japanese Society of Computational Statistics · doi:10.5183/jjscs1988.15.2_295 · Cited by 34 · see citing works
Multivariate receptive field mapping in marmoset auditory cortex
Luczak, A., Hackett, T. A., Kajikawa, Y., & Laubach, M. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.12.019 · Cited by 29 · see citing works
Self-citationK+ channels and their distribution in large cortical pyramidal neurones
Storm, J. F. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.t01-1-00565.x · Cited by 15 · see citing works
Valuations for Spike Train Prediction
Itskov, V., Curto, C., & Harris, K. D. (2007) · Neural Computation · doi:10.1162/neco.2007.3179 · Cited by 14 · see citing works
Self-citation
Flagged first, then by citations
2 of the 78 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759 · see citing works
Spontaneous behaviors drive multidimensional, brainwide activity
Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., & Harris, K. D. (2019) · Science · doi:10.1126/science.aav7893 · Cited by 1,510 · see citing works
Self-citationDimensionality reduction for large-scale neural recordings
Cunningham, J. P., & Yu, B. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3776 · Cited by 1,219 · see citing works
The 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
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801 · see citing works
“However, spontaneous activity is not random and is determined by the operation of similar or the same neural circuits involved in sensory responses (Arieli et al., 1996; Luczak et al., 2009).”
Harris, K., & Thiele, A. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3084 · Cited by 953 · see citing works
Self-citationFrom the neuron doctrine to neural networks
Yuste, R. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3962 · Cited by 748 · see citing works
Where Does EEG Come From and What Does It Mean?
Cohen, M. X. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.02.004 · Cited by 722 · see citing works
Neural constraints on learning
Sadtler, P. T., Quick, K. M., Golub, M. D., Chase, S. M., Ryu, S. I., Tyler-Kabara, E. C., Yu, B. M., & Batista, A. P. (2014) · Nature · doi:10.1038/nature13665 · Cited by 713 · see citing works
Neural Manifolds for the Control of Movement
Gallego, J. Á., Perich, M. G., Miller, L. E., & Solla, S. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.025 · Cited by 676 · see citing works
Cortical connectivity and sensory coding
Harris, K. D., & Mrsic‐Flogel, T. D. (2013) · Nature · doi:10.1038/nature12654 · Cited by 642 · see citing works
Self-citationNeuronal Avalanches Imply Maximum Dynamic Range in Cortical Networks at Criticality
Shew, W. L., Yang, H., Petermann, T., Roy, R., & Plenz, D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3864-09.2009 · Cited by 623 · see citing works
Laminar Structure of Spontaneous and Sensory-Evoked Population Activity in Auditory Cortex
Sakata, S., & Harris, K. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.020 · Cited by 581 · see citing works
Self-citationShew, W. L., Yang, H., Yu, S. P., Roy, R., & Plenz, D. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4637-10.2011 · Cited by 579 · see citing works
Slow dynamics and high variability in balanced cortical networks with clustered connections
Litwin-Kumar, A., & Doiron, B. (2012) · Nature Neuroscience · doi:10.1038/nn.3220 · Cited by 545 · see citing works
Sensory neural codes using multiplexed temporal scales
Panzeri, S., Brunel, N., Logothetis, N. K., & Kayser, C. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2009.12.001 · Cited by 520 · see citing works
Hofer, S. B., Ko, H., Pichler, B., Vogelstein, J., Ros, H., Zeng, H., Lein, E., Lesica, N. A., & Mrsic-Flogel, T. D. (2011) · Nature Neuroscience · doi:10.1038/nn.2876 · Cited by 470 · see citing works
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471 · see citing works
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
O’Connor, D. H., Peron, S., Huber, D., & Svoboda, K. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.026 · Cited by 453 · see citing works
Kumar, A., Rotter, S., & Aertsen, A. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2886 · Cited by 448 · see citing works
Diverse coupling of neurons to populations in sensory cortex
Okun, M., Steinmetz, N. A., Cossell, L., Iacaruso, M. F., Ko, H., Barthó, P., Moore, T., Hofer, S. B., Mrsic‐Flogel, T. D., Carandini, M., et al. (2015) · Nature · doi:10.1038/nature14273 · Cited by 428 · see citing works
Self-citationAstrocytes regulate cortical state switching in vivo
Poskanzer, K. E., & Yuste, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520759113 · Cited by 377 · see citing works
Spontaneous cortical activity alternates between motifs defined by regional axonal projections
Mohajerani, M. H., Chan, A. W., Mohsenvand, M. ‘., LeDue, J. M., Liu, R., McVea, D. A., Boyd, J. D., Wang, Y. T., Reimers, M., & Murphy, T. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3499 · Cited by 375 · see citing works
A cortical-hippocampal-cortical loop of information processing during memory consolidation
Rothschild, G., Eban, E., & Frank, L. M. (2017) · Nature Neuroscience · doi:10.1038/nn.4457 · Cited by 387 · see citing works
Buzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 358 · see citing works
Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
Gallego, J. Á., Perich, M. G., Naufel, S. N., Éthier, C., Solla, S. A., & Miller, L. E. (2018) · Nature Communications · doi:10.1038/s41467-018-06560-z · Cited by 337 · see citing works
Neuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303 · see citing works
Formation and maintenance of neuronal assemblies through synaptic plasticity
Litwin-Kumar, A., & Doiron, B. (2014) · Nature Communications · doi:10.1038/ncomms6319 · Cited by 299 · see citing works
Imprinting and recalling cortical ensembles
Carrillo‐Reid, L., Yang, W., Bando, Y., Peterka, D. S., & Yuste, R. (2016) · Science · doi:10.1126/science.aaf7560 · Cited by 278 · see citing works
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 · see citing works
Learning by neural reassociation
Golub, M. D., Sadtler, P. T., Oby, E. R., Quick, K. M., Ryu, S. I., Tyler‐Kabara, E. C., Batista, A. P., Chase, S. M., & Yu, B. M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0095-3 · Cited by 274 · see citing works
Reimann, M., Anastassiou, C. A., Perin, R., Hill, S., Markram, H., & Christof Koch, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.023 · Cited by 270 · see citing works
Advances in fMRI Real-Time Neurofeedback
Watanabe, T., Sasaki, Y., Shibata, K., & Kawato, M. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.010 · Cited by 242 · see citing works
Spontaneous and Task-Evoked Brain Activity Negatively Interact
He, B. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2922-12.2013 · Cited by 272 · see citing works
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 · see citing works
Degenhart, A. D., Bishop, W. E., Oby, E. R., Tyler-Kabara, E. C., Chase, S. M., Batista, A. P., & Yu, B. M. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0542-9 · Cited by 212 · see citing works
The Nature of Shared Cortical Variability
Lin, I.-C., Okun, M., Carandini, M., & Harris, K. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.035 · Cited by 223 · see citing works
Self-citationInhibitory Plasticity: Balance, Control, and Codependence
Hennequin, G., Agnes, E. J., & Vogels, T. P. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031005 · Cited by 234 · see citing works
Beltramo, R., D’Urso, G., Maschio, M. D., Farisello, P., Bovetti, S., Clovis, Y. M., Lassi, G., Tucci, V., Tonelli, D. D. P., & Fellin, T. (2013) · Nature Neuroscience · doi:10.1038/nn.3306 · Cited by 224 · see citing works
New neural activity patterns emerge with long-term learning
Oby, E. R., Golub, M. D., Hennig, J. A., Degenhart, A. D., Tyler-Kabara, E. C., Yu, B. M., Chase, S. M., & Batista, A. P. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820296116 · Cited by 221 · see citing works
Maximal Variability of Phase Synchrony in Cortical Networks with Neuronal Avalanches
Yang, H., Shew, W. L., Roy, R., & Plenz, D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2771-11.2012 · Cited by 206 · see citing works
Altered Cortical Ensembles in Mouse Models of Schizophrenia
Hamm, J. P., Peterka, D. S., Gogos, J. A., & Yuste, R. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.019 · Cited by 175 · see citing works
Wang, Z., Chen, L. M., Négyessy, L., Friedman, R. M., Mishra, A., Gore, J. C., & Roe, A. W. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.023 · Cited by 200 · see citing works
Cooperative subnetworks of molecularly similar interneurons in mouse neocortex
Karnani, M. M., Jackson, J., Ayzenshtat, I., Tucciarone, J., Manoocheri, K., Snider, W. G., & Yuste, R. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.037 · Cited by 196 · 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
Self-citationDiscrete Neocortical Dynamics Predict Behavioral Categorization of Sounds
Bathellier, B., Ushakova, L., & Rumpel, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.008 · Cited by 194 · see citing works
Neske, G. T., Patrick, S. L., & Connors, B. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2279-14.2015 · Cited by 167 · see citing works
Intrinsic and Task-Dependent Coupling of Neuronal Population Activity in Human Parietal Cortex
Foster, B. L., Rangarajan, V., Shirer, W. R., & Parvizi, J. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.018 · Cited by 159 · see citing works
Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links
Teramae, J.-N., Tsubo, Y., & Fukai, T. (2012) · Scientific Reports · doi:10.1038/srep00485 · Cited by 166 · see citing works
Cell-specific restoration of stimulus preference after monocular deprivation in the visual cortex
Rose, T., Jaepel, J., Hübener, M., & Bonhoeffer, T. (2016) · Science · doi:10.1126/science.aad3358 · Cited by 162 · see citing works
Bring the Noise: Reconceptualizing Spontaneous Neural Activity
Uddin, L. Q. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.06.003 · Cited by 160 · see citing works
The secret life of predictive brains: what’s spontaneous activity for?
Pezzulo, G., Zorzi, M., & Corbetta, M. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.05.007 · Cited by 164 · see citing works
Gating of Sensory Input by Spontaneous Cortical Activity
Luczak, A., Barthó, P., & Harris, K. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2928-12.2013 · Cited by 157 · see citing works
Self-citationHuang, Z., Zhang, J., Longtin, A., Dumont, G., Duncan, N. W., Pokorny, J., Qin, P., Dai, R., Ferri, F., Weng, X., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv288 · Cited by 161 · see citing works
UP-DOWN cortical dynamics reflect state transitions in a bistable network
Jercog, D., Roxin, A., Barthó, P., Luczak, A., Compte, A., & de la Rocha, J. (2017) · eLife · doi:10.7554/elife.22425 · Cited by 159 · see citing works
Self-citationCurto, C., Sakata, S., Marguet, S. L., Itskov, V., & Harris, K. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2053-09.2009 · Cited by 156 · see citing works
Self-citationManipulating synthetic optogenetic odors reveals the coding logic of olfactory perception
Chong, E., Moroni, M., Wilson, C., Shoham, S., Panzeri, S., & Rinberg, D. A. (2020) · Science · doi:10.1126/science.aba2357 · Cited by 157 · see citing works
Maladaptive Neural Synchrony in Tinnitus: Origin and Restoration
Eggermont, J. J., & Tass, P. A. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00029 · Cited by 153 · see citing works
Preexisting hippocampal network dynamics constrain optogenetically induced place fields
McKenzie, S., Huszár, R., English, D. F., Kim, K., Christensen, F., Yoon, E., & Buzsáki, G. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.011 · Cited by 150 · see citing works
Functional interactions between intrinsic brain activity and behavior
Sadaghiani, S., & Kleinschmidt, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.100 · Cited by 147 · see citing works
Dynamics of Multistable States during Ongoing and Evoked Cortical Activity
Mazzucato, L., Fontanini, A., & Camera, G. L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4819-14.2015 · Cited by 151 · see citing works
Bellay, T., Klaus, A., Seshadri, S., & Plenz, D. (2015) · eLife · doi:10.7554/elife.07224 · Cited by 149 · see citing works
Spontaneous Neuronal Network Dynamics Reveal Circuit’s Functional Adaptations for Behavior
Romano, S. A., Pietri, T., Pérez-Schuster, V., Jouary, A., Haudrechy, M., & Sumbre, G. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.027 · Cited by 145 · see citing works
State-Dependent Population Coding in Primary Auditory Cortex
Pachitariu, M., Lyamzin, D. R., Sahani, M., & Lesica, N. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3318-14.2015 · Cited by 142 · see citing works
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 134 · see citing works
Hearing loss, hyperacusis, or tinnitus: What is modeled in animal research?
Eggermont, J. J. (2012) · Hearing Research · doi:10.1016/j.heares.2012.01.005 · Cited by 138 · see citing works
The hippocampus: hub of brain network communication for memory
Battaglia, F. P., Benchenane, K., Sirota, A., Pennartz, C. M. A., & Wiener, S. I. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.008 · Cited by 351 · see citing works
Stimuli Reduce the Dimensionality of Cortical Activity
Mazzucato, L., Fontanini, A., & Camera, G. L. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00011 · Cited by 134 · see citing works
Spike-Timing Theory of Working Memory
Szatmáry, B., & Izhikevich, E. M. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000879 · Cited by 135 · see citing works
Nagasawa, T., Juhász, C., Rothermel, R., Hoechstetter, K., Sood, S., & Asano, E. (2011) · Human Brain Mapping · doi:10.1002/hbm.21233 · Cited by 129 · see citing works
Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway
Nitzan, N., McKenzie, S., Beed, P. S., English, D. F., Oldani, S., Tukker, J. J., Buzsáki, G., & Schmitz, D. (2020) · Nature Communications · doi:10.1038/s41467-020-15787-8 · Cited by 129 · see citing works
Neuronal ensembles: Building blocks of neural circuits
Yuste, R., Cossart, R., & Yaksi, E. (2024) · Neuron · doi:10.1016/j.neuron.2023.12.008 · Cited by 127 · see citing works
Local generation of multineuronal spike sequences in the hippocampal CA1 region
Stark, E., Roux, L., Eichler, R., & Buzsáki, G. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508785112 · Cited by 115 · see citing works
Vanneste, S., Fregni, F., & Ridder, D. D. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00158 · Cited by 120 · see citing works
An integrative, multiscale view on neural theories of consciousness
Storm, J. F., Klink, P. C., Aru, J., Senn, W., Goebel, R., Pigorini, A., Avanzini, P., Vanduffel, W., Roelfsema, P. R., Massimini, M., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.004 · Cited by 114 · see citing works
“32,168,169 This notion of brain complexity—defined as the coexistence of integration and differentiation—was at the core of IIT’s original notion of F 89,90 and remains central to the empirical predictions of IIT in its mature form.”
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning
Kappel, D., Nessler, B., & Maass, W. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003511 · Cited by 112 · see citing works
Attractors and noise: Twin drivers of decisions and multistability
Braun, J., & Mattia, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.126 · Cited by 117 · see citing works
Learning a common dictionary for subject-transfer decoding with resting calibration
Morioka, H., Kanemura, A., Hirayama, J.-I., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., & Ishii, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.015 · Cited by 113 · see citing works
Kayser, C., Ince, R. A. A., & Panzeri, S. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002717 · Cited by 112 · see citing works
Spontaneous behaviors drive multidimensional, brain-wide activityPreprint
Stringer, C., Pachitariu, M., Steinmetz, N. A., Reddy, C. B., Carandini, M., & Harris, K. D. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/306019 · Cited by 119 · see citing works
Self-citationLaminar organization of encoding and memory reactivation in the parietal cortex
Wilber, A. A., Skelin, I., Wu, W., & McNaughton, B. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.033 · Cited by 95 · see citing works
Mazzoni, A., Whittingstall, K., Brunel, N., Logothetis, N. K., & Panzeri, S. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.040 · Cited by 109 · see citing works
Pupil diameter is not an accurate real-time readout of locus coeruleus activity
Megemont, M., McBurney-Lin, J., & Yang, H. (2022) · eLife · doi:10.7554/elife.70510 · Cited by 115 · see citing works
Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models
Williamson, R. C., Cowley, B. R., Litwin-Kumar, A., Doiron, B., Kohn, A., Smith, M. A., & Yu, B. M. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005141 · Cited by 100 · see citing works
Modi, M. N., Dhawale, A. K., & Bhalla, U. S. (2014) · eLife · doi:10.7554/elife.01982 · Cited by 106 · see citing works
Manley, J., Lu, S., Barber, K., Demas, J., Kim, H., Meyer, D., Traub, F. M., & Vaziri, A. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.011 · Cited by 106 · see citing works
EEG microstates as a continuous phenomenon
Mishra, A., Englitz, B., & Cohen, M. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116454 · Cited by 102 · see citing works
Inhibitory control of correlated intrinsic variability in cortical networks
Stringer, C., Pachitariu, M., Steinmetz, N. A., Okun, M., Barthó, P., Harris, K. D., Sahani, M., & Lesica, N. A. (2016) · eLife · doi:10.7554/elife.19695 · Cited by 100 · see citing works
Self-citationEmergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP
Klampfl, S., & Maass, W. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5044-12.2013 · Cited by 99 · see citing works
State-Dependent Representation of Amplitude-Modulated Noise Stimuli in Rat Auditory Cortex
Marguet, S. L., & Harris, K. D. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5773-10.2011 · Cited by 98 · see citing works
Self-citationExpectation-induced modulation of metastable activity underlies faster coding of sensory stimuli
Mazzucato, L., Camera, G. L., Fontanini, A., Alfredo, F., & Giancarlo, L. C. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0364-9 · Cited by 97 · see citing works
Common oscillatory mechanisms across multiple memory systems
Headley, D. B., & Paré, D. (2017) · npj Science of Learning · doi:10.1038/s41539-016-0001-2 · Cited by 94 · see citing works
Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback
Shibata, K., Lisi, G., Cortese, A., Watanabe, T., Sasaki, Y., & Kawato, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.022 · Cited by 107 · see citing works
Neurophysiology of Remembering
Buzsáki, G., McKenzie, S., & Davachi, L. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-021721-110002 · Cited by 84 · see citing works
VIP+ interneurons control neocortical activity across brain states
Jackson, J., Ayzenshtat, I., Karnani, M., & Yuste, R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01124.2015 · Cited by 93 · see citing works
Non-normal amplification in random balanced neuronal networks
Hennequin, G., Vogels, T. P., & Gerstner, W. (2012) · Physical Review E · doi:10.1103/physreve.86.011909 · Cited by 91 · see citing works
Distributed network interactions and their emergence in developing neocortex
Smith, G. B., Hein, B., Whitney, D. E., Fitzpatrick, D., & Kaschube, M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0247-5 · Cited by 89 · see citing works
Ponce‐Alvarez, A., He, B. J., Hagmann, P., & Deco, G. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004445 · Cited by 91 · see citing works
Population-wide distributions of neural activity during perceptual decision-making
Wohrer, A., Humphries, M. D., & Machens, C. K. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.09.004 · Cited by 89 · see citing works
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains
Onken, A., Liu, J. K., Karunasekara, P. P. C. R., Delis, I., Gollisch, T., & Panzeri, S. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005189 · Cited by 84 · see citing works
- Authors
- Luczak, A., Barthó, P., & Harris, K. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Harris, Kenneth D.
- ORCID
- Luczak, Artur
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 62
- Issue
- 3
- Pages
- 413-425
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC2696272
- OpenAlex
- W2150240029
- Cited by
- 593
- References
- 78
- Citations by year
- 2026: 19 · 2025: 25 · 2024: 37 · 2023: 28 · 2022: 28 · 2021: 42 · 2020: 34 · 2019: 61 · 2018: 39 · 2017: 54 · 2016: 46 · 2015: 46 · 2014: 27 · 2013: 36 · 2012: 24
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute of Mental Health (MH073245, R01MH073245)
- National Institute on Deafness and Other Communication Disorders (DC009947, R01DC009947)
- 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
- spontaneous neuronal activity, auditory cortex, somatosensory cortex, sensory evoked potentials, population coding
- MeSH terms
- Acoustic Stimulation, Action Potentials, Animals, Auditory Cortex, Cortical Synchronization, Evoked Potentials, Auditory, Nerve Net, Neurons, Perception, Reaction Time, Somatosensory Cortex, Rats, Sprague-Dawley, Rats, Miniature Postsynaptic Potentials
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