The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic Trees
Open accessAbstract
A sequence of images, sounds, or words can be stored at several levels of detail, from specific items and their timing to abstract structure. We propose a taxonomy of five distinct cerebral mechanisms for sequence coding: transitions and timing knowledge, chunking, ordinal knowledge, algebraic patterns, and nested tree structures. In each case, we review the available experimental paradigms and list the behavioral and neural signatures of the systems involved. Tree structures require a specific recursive neural code, as yet unidentified by electrophysiology, possibly unique to humans, and which may explain the singularity of human language and cognition.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212 · see citing works
Statistical learning by 8-month-old infants
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996) · Science · doi:10.1126/science.274.5294.1926 · Cited by 5,659 · see citing works
The faculty of language: what is it, who has it, and how did it evolve?
Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002) · Science · doi:10.1126/science.298.5598.1569 · Cited by 5,189 · see citing works
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · see citing works
Three models for the description of language
Chomsky, N. (1956) · IRE Transactions on Information Theory · doi:10.1109/tit.1956.1056813 · Cited by 2,846 · see citing works
Gallistel, C. R. (1990) · Cited by 2,571 · see citing works
The problem of serial order in behavior
Lashley, K. S. (1951) · MPG.PuRe (Max Planck Society) · Cited by 2,228 · see citing works
Scalar expectancy theory and Weber's law in animal timing.
Gibbon, J. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.279 · Cited by 2,224 · see citing works
The brain basis of language processing: from structure to function.
Friederici, A. D. (2011) · Physiological Reviews · doi:10.1152/physrev.00006.2011 · Cited by 2,140 · see citing works
Context-dependent computation by recurrent dynamics in prefrontal cortex
Mante, V., Sussillo, D., Shenoy, K. V., & Newsome, W. T. (2013) · Nature · doi:10.1038/nature12742 · Cited by 1,807 · see citing works
The mismatch negativity: a review of underlying mechanisms
Garrido, M. I., Kilner, J. M., Stephan, K. E., & Friston, K. J. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.11.029 · Cited by 1,441 · see citing works
The faculty of language: what's special about it?
Pinker, S. A., & Jackendoff, R. S. (2005) · Cognition · doi:10.1016/j.cognition.2004.08.004 · Cited by 1,422 · see citing works
Encoding of Spatial Location by Posterior Parietal Neurons
Andersen, R., Essick, G. K., & Siegel, R. M. (1985) · Science · doi:10.1126/science.4048942 · Cited by 1,413 · see citing works
Chomsky, N. (2013) · Lingua · doi:10.1016/j.lingua.2012.12.003 · Cited by 1,284 · see citing works
Rule Learning by Seven-Month-Old Infants
Marcus, G., Vijayan, S., Rao, S. B., & Vishton, P. M. (1999) · Science · doi:10.1126/science.283.5398.77 · Cited by 1,246 · see citing works
Darwin's mistake: Explaining the discontinuity between human and nonhuman minds
Penn, D. C., Holyoak, K. J., & Povinelli, D. J. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08003543 · Cited by 1,174 · see citing works
Functional neuroimaging of speech perception in infants
Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002) · Science · doi:10.1126/science.1077066 · Cited by 1,113 · see citing works
Self-citationThe Basal Ganglia and Chunking of Action Repertoires
Graybiel, A. M. (1998) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1998.3843 · Cited by 1,042 · see citing works
Smolensky, P. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90007-m · Cited by 959 · see citing works
A Large-Scale Model of the Functioning Brain
Eliasmith, C., Stewart, T. C., Choo, X., Bekolay, T., DeWolf, T., Tang, Y., & Rasmussen, D. (2012) · Science · doi:10.1126/science.1225266 · Cited by 934 · see citing works
Mental Rotation of the Neuronal Population Vector
Georgopoulos, A. P., Lurito, J. T., Petrides, M., Schwartz, A. B., & Massey, J. T. (1989) · Science · doi:10.1126/science.2911737 · Cited by 910 · see citing works
A hierarchy of temporal receptive windows in human cortex
Hasson, U., Yang, E., Vallines, I., Heeger, D. J., & Rubin, N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5487-07.2008 · Cited by 874 · see citing works
The evolution of the arcuate fasciculus revealed with comparative DTI
Rilling, J. K., Glasser, M. F., Preuss, T. M., Ma, X., Zhao, T., Hu, X. P., & Behrens, T. E. J. (2008) · Nature Neuroscience · doi:10.1038/nn2072 · Cited by 866 · see citing works
Infants' sensitivity to phonotactic patterns in the native language.
Jusczyk, P., Luce, P. A., & Charles-Luce, J. (1994) · Journal of Memory and Language · doi:10.1006/jmla.1994.1030 · Cited by 858 · see citing works
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811 · see citing works
Britto, D. B. D. O. E. (2007) · Revista da Sociedade Brasileira de Fonoaudiologia · doi:10.1590/s1516-80342007000400016 · Cited by 804 · see citing works
Schenk, F. (1991) · Trends in Neurosciences · doi:10.1016/0166-2236(91)90036-t · Cited by 790 · see citing works
Newborn infants perceive abstract numbers
Véronique Izard, A., Sann, C., Spelke, E. S., & Stréri, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812142106 · Cited by 783 · see citing works
Toward a neurobiology of temporal cognition: advances and challenges
Gibbon, J., Malapani, C., Dale, C. L., & Gallistel, C. R. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80005-0 · Cited by 766 · see citing works
Neural signature of the conscious processing of auditory regularities
Bekinschtein, T. A., Dehaene, S., Rohaut, B., Tadel, F., Cohen, L., & Naccache, L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809667106 · Cited by 738 · see citing works
Self-citationFriederici, A. D., Bahlmann, J., Heim, S., Schubotz, R. I., & Anwander, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509389103 · Cited by 734 · see citing works
The concepts of ‘sameness’ and ‘difference’ in an insect
Giurfa, M., Zhang, S., Jenett, A., Menzel, R., & Srinivasan, M. V. (2001) · Nature · doi:10.1038/35073582 · Cited by 733 · see citing works
The Cortical Representation of Speech
Mazoyer, B. M., Tzourio‐Mazoyer, N., Frak, V., Syrota, A., Murayama, N., Levrier, O., Salamon, G., Dehaene, S., Cohen, L., & Mehler, J. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.4.467 · Cited by 712 · see citing works
Self-citationNeural repetition suppression reflects fulfilled perceptual expectations
Summerfield, C., Trittschuh, E. H., Monti, J. M., Mesulam, M.-M., & Egner, T. (2008) · Nature Neuroscience · doi:10.1038/nn.2163 · Cited by 692 · see citing works
Cortical representation of the constituent structure of sentences
Pallier, C., Devauchelle, A.-D., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018711108 · Cited by 691 · see citing works
Self-citationComputational Constraints on Syntactic Processing in a Nonhuman Primate
Fitch, W. T., & HAUSER, M. D. (2004) · Science · doi:10.1126/science.1089401 · Cited by 664 · see citing works
Javitt, D. C., Steinschneider, M., Schroeder, C. E., & Arezzo, J. C. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.21.11962 · Cited by 662 · see citing works
Recursive syntactic pattern learning by songbirds
Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C. (2006) · Nature · doi:10.1038/nature04675 · Cited by 659 · see citing works
Holographic reduced representations
Plate, T. A. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.377968 · Cited by 657 · see citing works
Cerebral Mechanisms in Behavior: The Hixon Symposium
(1952) · JAMA · doi:10.1001/jama.1952.02930120090037 · Cited by 652 · see citing works
The Algebraic Mind: Integrating Connectionism and Cognitive Science
Marcus, G. F. (2001) · Cited by 636 · see citing works
Roaring and numerical assessment in contests between groups of female lions, Panthera leo
McComb, K., Packer, C., & Pusey, A. E. (1994) · Animal Behaviour · doi:10.1006/anbe.1994.1052 · Cited by 603 · see citing works
Representation of Time by Neurons in the Posterior Parietal Cortex of the Macaque
Leon, M. I., & Shadlen, M. N. (2003) · Neuron · doi:10.1016/s0896-6273(03)00185-5 · Cited by 601 · see citing works
Evidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560 · see citing works
Self-citationNeural representations of events arise from temporal community structure
Schapiro, A. C., Rogers, T. T., Cordova, N. I., Turk-Browne, N. B., & Botvinick, M. M. (2013) · Nature Neuroscience · doi:10.1038/nn.3331 · Cited by 556 · see citing works
Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained
May, P. J. C., & Tiitinen, H. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00856.x · Cited by 549 · see citing works
A neuronal model of predictive coding accounting for the mismatch negativity.
Wacongne, C., Changeux, J.-P., & Dehaene, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5003-11.2012 · Cited by 542 · see citing works
Self-citationHippocampal “Time Cells”: Time versus Path Integration
Kraus, B. J., Robinson, R. J., White, J. A., Eichenbaum, H., & Hasselmo, M. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.015 · Cited by 526 · see citing works
Broca's area and the hierarchical organization of human behavior.
Koechlin, E., & Jubault, T. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.017 · Cited by 514 · see citing works
Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences
Jin, X., Tecuapetla, F., & Costa, R. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3632 · Cited by 499 · see citing works
Broca's area and the language instinct
Musso, M., Moro, A., Glauche, V., Rijntjes, M., Reichenbach, J. R., Büchel, C., & Weiller, C. (2003) · Nature Neuroscience · doi:10.1038/nn1077 · Cited by 464 · see citing works
Can Infants Map Meaning to Newly Segmented Words?: Statistical Segmentation and Word Learning
Estes, K. G., Evans, J. L., Alibali, M. W., & Saffran, J. R. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01885.x · Cited by 456 · see citing works
Robust timing and motor patterns by taming chaos in recurrent neural networks
Laje, R., & Buonomano, D. V. (2013) · Nature Neuroscience · doi:10.1038/nn.3405 · Cited by 454 · see citing works
Neubert, F.-X., Mars, R. B., Thomas, A. G., Sallet, J., & Rushworth, M. F. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.11.012 · Cited by 416 · see citing works
Prefrontal white matter volume is disproportionately larger in humans than in other primates
Schoenemann, P. T., Sheehan, M. J., & Glotzer, L. D. (2005) · Nature Neuroscience · doi:10.1038/nn1394 · Cited by 405 · see citing works
A Scalable Population Code for Time in the Striatum
Mello, G. B. M. E., Soares, S., & Paton, J. J. (2015) · Current Biology · doi:10.1016/j.cub.2015.02.036 · Cited by 393 · see citing works
Syntax and the Brain: Disentangling Grammar by Selective Anomalies
Moro, A., Tettamanti, M., Perani, D., Donati, C., Cappa, S. F., & Fazio, F. (2001) · NeuroImage · doi:10.1006/nimg.2000.0668 · Cited by 389 · see citing works
Encoding Strategies Dissociate Prefrontal Activity from Working Memory Demand
Bor, D., Duncan, J., Wiseman, R. J., & Owen, A. M. (2003) · Neuron · doi:10.1016/s0896-6273(02)01171-6 · Cited by 373 · see citing works
Neural correlates of syntactic movement: converging evidence from two fMRI experiments
Ben‐Shachar, M., Palti, D., & Grodzinsky, Y. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.027 · Cited by 366 · see citing works
Theory of serial pattern learning: Structural trees.
Restle, F. (1970) · Psychological Review · doi:10.1037/h0029964 · Cited by 359 · see citing works
Dehaene-Lambertz, G., Hertz-Pannier, L., Dubois, J., Mériaux, S., Roche, A., Sigman, M., & Dehaene, S. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606302103 · Cited by 358 · see citing works
Self-citationBroca's Region: Novel Organizational Principles and Multiple Receptor Mapping
Amunts, K., Lenzen, M., Friederici, A. D., Schleicher, A., Morosan, P., Palomero-Gallagher, N., & Zilles, K. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000489 · Cited by 357 · see citing works
From Syllables to Syntax: Multilevel Statistical Learning by 12‐Month‐Old Infants
Saffran, J. R., & Wilson, D. P. (2003) · Infancy · doi:10.1207/s15327078in0402_07 · Cited by 354 · see citing works
Giard, M., Lavikahen, J., Reinikainen, K., Perrin, F., Bertrand, O., Pernier, J., & Näätänen, R. (1995) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1995.7.2.133 · Cited by 352 · see citing works
Expectation and Surprise Determine Neural Population Responses in the Ventral Visual Stream
Egner, T., Monti, J. M., & Summerfield, C. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2770-10.2010 · Cited by 350 · see citing works
Todorovic, A., & de Lange, F. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2227-12.2012 · Cited by 326 · see citing works
Statistical learning of visual transitions in monkey inferotemporal cortex
Meyer, T., & Olson, C. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112895108 · Cited by 325 · see citing works
A dual operator view of habitual behavior reflecting cortical and striatal dynamics
Smith, K. S., & Graybiel, A. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.038 · Cited by 324 · see citing works
The temporal precision of reward prediction in dopamine neurons
Fiorillo, C. D., Newsome, W. T., & Schultz, W. (2008) · Nature Neuroscience · doi:10.1038/nn.2159 · Cited by 310 · see citing works
Perceiving patterns in random series: dynamic processing of sequence in prefrontal cortex
Huettel, S. A., Mack, P. B., & McCarthy, G. (2002) · Nature Neuroscience · doi:10.1038/nn841 · Cited by 297 · see citing works
Temporal and Spatial Enumeration Processes in the Primate Parietal Cortex
Nieder, A., Diester, I., & Tudusciuc, O. (2006) · Science · doi:10.1126/science.1130308 · Cited by 296 · see citing works
Hierarchical artificial grammar processing engages Broca's area
Bahlmann, J., Schubotz, R. I., & Friederici, A. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.249 · Cited by 294 · see citing works
Bayesian learning of visual chunks by human observers
Orbán, G., Fiser, J., Aslin, R., & Lengyel, M. (2008) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0708424105 · Cited by 291 · see citing works
Number-Space Mapping in Human Infants
de Hevia, M. D., & Spelke, E. S. (2010) · Psychological Science · doi:10.1177/0956797610366091 · Cited by 284 · see citing works
Visual statistical learning in the newborn infant
Bulf, H., Johnson, S. P., & Valenza, E. (2011) · Cognition · doi:10.1016/j.cognition.2011.06.010 · Cited by 281 · see citing works
Syntactic structure building in the anterior temporal lobe during natural story listening
Brennan, J., Nir, Y., Hasson, U., Malach, R., Heeger, D. J., & Pylkkänen, L. (2012) · Brain and Language · doi:10.1016/j.bandl.2010.04.002 · Cited by 279 · see citing works
Saur, D., Schelter, B. O., Schnell, S., Kratochvil, D., Küpper, H., Kellmeyer, P., Kümmerer, D., Klöppel, S., Glauche, V., Lange, R., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.009 · Cited by 268 · see citing works
Prefrontal cortex and spatial sequencing in macaque monkey
Barone, P., & Joseph, J. (1989) · Experimental Brain Research · doi:10.1007/bf00230234 · Cited by 267 · see citing works
Categorization of behavioural sequences in the prefrontal cortex
Shima, K., Isoda, M., Mushiake, H., & Tanji, J. (2006) · Nature · doi:10.1038/nature05470 · Cited by 259 · see citing works
TYLER, L. K., Marslen‐Wilson, W. D., Randall, B., Wright, P. K., Devereux, B. J., Zhuang, J., Papoutsi, M., & Stamatakis, E. A. (2011) · Brain · doi:10.1093/brain/awq369 · Cited by 258 · see citing works
Evolutionarily Novel Functional Networks in the Human Brain?
Mantini, D., Corbetta, M., Romani, G. L., Orban, G. A., & Vanduffel, W. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4392-12.2013 · Cited by 255 · see citing works
The duration of a neuronal trace of an auditory stimulus as indicated by event-related potentials
Mäntysalo, S., & Näätänen, R. (1987) · Biological Psychology · doi:10.1016/0301-0511(87)90001-9 · Cited by 249 · see citing works
Snijders, T. M., Vosse, T., Kempen, G., Berkum, J. J. A. V., Petersson, K. M., & Peter Hagoort, A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn187 · Cited by 249 · see citing works
Neural representation of time in cortico-basal ganglia circuits
Jin, D. Z., Fujii, N., & Graybiel, A. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909881106 · Cited by 246 · see citing works
Disruption of hierarchical predictive coding during sleep
Strauss, M., Sitt, J. D., King, J.-R., Elbaz, M., Azizi, L., Buiatti, M., Naccache, L., van Wassenhove, V., & Dehaene, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501026112 · Cited by 244 · see citing works
Self-citationNeural substrates of processing syntax and semantics in music
Koelsch, S. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.005 · Cited by 233 · see citing works
Infant Rule Learning Facilitated by Speech
Marcus, G. F., Fernandes, K. J., & Johnson, S. P. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01910.x · Cited by 232 · see citing works
Learned spatiotemporal sequence recognition and prediction in primary visual cortex
Gavornik, J. P., & Bear, M. F. (2014) · Nature Neuroscience · doi:10.1038/nn.3683 · Cited by 227 · see citing works
Laje, R., & Buonomano, D. V. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1210.2104 · Cited by 226 · see citing works
Linking sounds to meanings: Infant statistical learning in a natural language
Hay, J. F., Pelucchi, B., Estes, K. G., & Saffran, J. R. (2011) · Cognitive Psychology · doi:10.1016/j.cogpsych.2011.06.002 · Cited by 225 · see citing works
Fitch, W. T. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2014.04.005 · Cited by 221 · see citing works
van Heijningen, C. A. A., de Visser, J., Zuidema, W. H., & ten Cate, C. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908113106 · Cited by 215 · see citing works
A Conserved Pattern of Differential Expansion of Cortical Areas in Simian Primates
Chaplin, T. A., Yu, H., Soares, J. G. M., Gattass, R., & Rosa, M. G. P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2909-13.2013 · Cited by 214 · see citing works
The neural correlates of statistical learning in a word segmentation task: An fMRI study
Karuza, E. A., Newport, E., Aslin, R., Starling, S., Tivarus, M., & Bavelier, D. (2013) · Brain and Language · doi:10.1016/j.bandl.2012.11.007 · Cited by 213 · see citing works
Neural substrates of processing syntax and semantics in music
Koelsch, S. (2009) · Springer eBooks · doi:10.1007/978-3-211-75121-3_9 · Cited by 210 · see citing works
Measuring time with different neural chronometers during a synchronization-continuation task
Merchant, H., Zarco, W., Pérez, O., Prado, L., & Bartolo, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112933108 · Cited by 208 · see citing works
Clos, M., Amunts, K., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.041 · Cited by 203 · see citing works
Artificial grammar learning meets formal language theory: an overview
Fitch, W. T., & Friederici, A. D. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0103 · Cited by 201 · see citing works
Topographical Functional Connectivity Pattern in the Perisylvian Language Networks
Xiang, H., Fonteijn, H. M. J., Norris, D. G., & Peter Hagoort, A. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp119 · Cited by 199 · see citing works
Songbirds possess the spontaneous ability to discriminate syntactic rules
Abe, K., & Watanabe, D. (2011) · Nature Neuroscience · doi:10.1038/nn.2869 · Cited by 197 · see citing works
King, J. R., Faugeras, F., Gramfort, A., Schurger, A., El Karoui, I., Sitt, J. D., Rohaut, B., Wacongne, C., Labyt, E., Bekinschtein, T., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.013 · Cited by 197 · see citing works
Self-citationNeural 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 195 · see citing works
Representation of Action Sequence Boundaries by Macaque Prefrontal Cortical Neurons
Fujii, N., & Graybiel, A. M. (2003) · Science · doi:10.1126/science.1086872 · Cited by 193 · see citing works
Supramodal numerosity selectivity of neurons in primate prefrontal and posterior parietal cortices
Nieder, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204580109 · Cited by 190 · see citing works
BASTIAANSEN, M. C. M., Magyari, L., & Peter Hagoort, A. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21283 · Cited by 190 · see citing works
ten Cate, C., & Okanoya, K. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0055 · Cited by 181 · see citing works
Grammatical pattern learning by human infants and cotton-top tamarin monkeys
Saffran, J. R., HAUSER, M. D., Seibel, R. L., Kapfhamer, J. D., Tsao, F., & Cushman, F. A. (2007) · Cognition · doi:10.1016/j.cognition.2007.10.010 · Cited by 180 · see citing works
Bartolo, R., Prado, L., & Merchant, H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2679-13.2014 · Cited by 179 · see citing works
Thought Beyond Language: Neural Dissociation of Algebra and Natural Language
Monti, M. M., Parsons, L. M., & Osherson, D. N. (2012) · Psychological Science · doi:10.1177/0956797612437427 · Cited by 171 · see citing works
The language skeleton after dissecting meaning: A functional segregation within Broca's Area
Goucha, T., & Friederici, A. D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.011 · Cited by 171 · see citing works
The boundaries of language and thought in deductive inference
Monti, M. M., Parsons, L. M., & Osherson, D. N. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902422106 · Cited by 170 · see citing works
An architecture for encoding sentence meaning in left mid-superior temporal cortex
Frankland, S., & Greene, J. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421236112 · Cited by 168 · see citing works
Neuronal correlates of a visual “sense of number” in primate parietal and prefrontal cortices
Viswanathan, P., & Nieder, A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308141110 · Cited by 168 · see citing works
Representation of Numerical and Sequential Patterns in Macaque and Human Brains
Wang, L., Uhrig, L., Jarraya, B., & Dehaene, S. (2015) · Current Biology · doi:10.1016/j.cub.2015.06.035 · Cited by 166 · see citing works
Self-citationIntegration of Temporal Order and Object Information in the Monkey Lateral Prefrontal Cortex
Ninokura, Y., Mushiake, H., & Tanji, J. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00694.2003 · Cited by 165 · see citing works
Perceptual and memory constraints on language acquisition
Endress, A. D., Nespor, M., & Mehler, J. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.05.005 · Cited by 162 · see citing works
Simultaneous mastering of two abstract concepts by the miniature brain of bees
Avarguès‐Weber, A., Dyer, A. G., Combe, M., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202576109 · Cited by 158 · see citing works
Abstract rule neurons in the endbrain support intelligent behaviour in corvid songbirds
Veit, L., & Nieder, A. (2013) · Nature Communications · doi:10.1038/ncomms3878 · Cited by 155 · see citing works
Serial Expertise of Rhesus Macaques
Terrace, H. S., Son, L. K., & Brannon, E. M. (2003) · Psychological Science · doi:10.1111/1467-9280.01420 · Cited by 149 · see citing works
Buiatti, M., Peña, M., & Dehaene-Lambertz, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.015 · Cited by 148 · see citing works
The Linguistic Relevance of Tree Adjoining Grammar
Kroch, A. S., & Joshi, A. K. (1985) · Cited by 148 · see citing works
Risk assessment in man and mouse
Balcı, F., Freestone, D. M., & Gallistel, C. R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812709106 · Cited by 144 · see citing works
Memory trace and timing mechanism localized to cerebellar Purkinje cells
Johansson, F., Jirenhed, D.-A., Rasmussen, A., Zucca, R., & Hesslow, G. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415371111 · Cited by 143 · see citing works
Ontogeny and phylogeny of language
Yang, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216803110 · Cited by 142 · see citing works
Rolheiser, T. M., Stamatakis, E. A., & TYLER, L. K. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2725-11.2011 · Cited by 140 · see citing works
An Introduction to Syntactic Analysis and Theory
Koopman, H. J., Sportiche, D., & Stabler, E. P. (2013) · MPG.PuRe (Max Planck Society) · Cited by 136 · see citing works
Knowledge of the Ordinal Position of List Items in Rhesus Monkeys
Chen, S., Swartz, K. B., & Terrace, H. S. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00687.x · Cited by 133 · see citing works
Crowe, D. A., Zarco, W., Bartolo, R., & Merchant, H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2177-14.2014 · Cited by 132 · see citing works
Macaque monkeys categorize images by their ordinal number
Orlov, T., Yakovlev, V., Hochstein, S., et al. (2000) · Nature · doi:10.1038/35003571 · Cited by 126 · see citing works
Human auditory cortex is activated by omissions of auditory stimuli
Raij, T., McEvoy, L. K., Mäkelä, J. P., & Hari, R. (1997) · Brain Research · doi:10.1016/s0006-8993(96)01140-7 · Cited by 124 · see citing works
A Hierarchy of Responses to Auditory Regularities in the Macaque Brain
Uhrig, L., Dehaene, S., & Jarraya, B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3165-13.2014 · Cited by 123 · see citing works
Self-citationBotvinick, M., & Watanabe, T. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2110-07.2007 · Cited by 122 · see citing works
A hierarchy of cortical responses to sequence violations in three-month-old infants
Basirat, A., Dehaene, S., & Dehaene‐Lambertz, G. (2014) · Cognition · doi:10.1016/j.cognition.2014.03.013 · Cited by 119 · see citing works
Self-citationEl Karoui, I., King, J.-R., Sitt, J., Meyniel, F., Van Gaal, S., Hasboun, D., Adam, C., Navarro, V., Baulac, M., Dehaene, S., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu143 · Cited by 114 · see citing works
Self-citationA Temporal Bottleneck in the Language Comprehension Network
Vagharchakian, L., Dehaene‐Lambertz, G., Pallier, C., & Dehaene, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5685-11.2012 · Cited by 114 · see citing works
Self-citationA robust cerebral asymmetry in the infant brain: The rightward superior temporal sulcus
Glasel, H., Leroy, F., Dubois, J., Hertz‐Pannier, L., Mangin, J.-F., & Dehaene‐Lambertz, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.016 · Cited by 113 · see citing works
Auditory Artificial Grammar Learning in Macaque and Marmoset Monkeys
Wilson, B., Slater, H., Kikuchi, Y., Milne, A. E., Marslen‐Wilson, W. D., Smith, K., & Petkov, C. I. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2414-13.2013 · Cited by 105 · see citing works
Two Distinct Dynamic Modes Subtend the Detection of Unexpected Sounds
King, J.-R., Gramfort, A., Schurger, A., Naccache, L., & Dehaene, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085791 · Cited by 103 · see citing works
Self-citationBeckers, G. J. L., Bolhuis, J. J., Okanoya, K., & Berwick, R. C. (2012) · Neuroreport · doi:10.1097/wnr.0b013e32834f1765 · Cited by 96 · see citing works
Restle, F., & Brown, E. R. (1970) · Journal of Experimental Psychology · doi:10.1037/h0028530 · Cited by 92 · see citing works
Dynamic Antisymmetry: Movement as a Symmetry‐breaking Phenomenon
Moro, A. (1997) · Studia Linguistica · doi:10.1111/1467-9582.00017 · Cited by 91 · see citing works
Visually Cued Action Timing in the Primary Visual Cortex
Namboodiri, V. M. K., Huertas, M. A., Monk, K. J., Shouval, H. Z., & Shuler, M. G. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.043 · Cited by 78 · see citing works
Fattal, I., Friedmann, N., & Fattal‐Valevski, A. (2011) · Brain · doi:10.1093/brain/awr068 · Cited by 77 · see citing works
Ohmae, S., Uematsu, A., & Tanaka, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1698-13.2013 · Cited by 73 · see citing works
Kheifets, A., & Gallistel, C. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205131109 · Cited by 72 · see citing works
Statistical Learning of Serial Visual Transitions by Neurons in Monkey Inferotemporal Cortex
Meyer, T., Ramachandran, S., & Olson, C. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1215-14.2014 · Cited by 70 · see citing works
The cortical representation of simple mathematical expressions
Maruyama, M., Pallier, C., Jobert, A., Sigman, M., & Dehaene, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.020 · Cited by 70 · see citing works
Self-citationOrigins of spatial, temporal and numerical cognition: Insights from comparative psychology
Haun, D. B. M., Jordan, F. M., Vallortígara, G., & Clayton, N. S. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.09.006 · Cited by 65 · see citing works
Dominey, P. F., Inui, T., & Hoen, M. (2009) · Brain and Language · doi:10.1016/j.bandl.2008.08.002 · Cited by 64 · see citing works
Three ideal observer models for rule learning in simple languages.
Frank, M. C., & Tenenbaum, J. (2011) · Cognition · doi:10.1016/j.cognition.2010.10.005 · Cited by 64 · see citing works
Berdyyeva, T. K., & Olson, C. R. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00639.2009 · Cited by 64 · see citing works
Sohn, J.-W., & Lee, D. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2982-07.2007 · Cited by 62 · see citing works
An fMRI study of syntactic layers: Sentential and lexical aspects of embedding
Shetreet, E., Friedmann, N., & Hadar, U. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.001 · Cited by 61 · see citing works
Two‐year‐olds compute syntactic structure on‐line
Bernal, S., Dehaene‐Lambertz, G., Millotte, S., & Christophe, A. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00865.x · Cited by 58 · see citing works
Tremblay, P., Baroni, M., & Hasson, U. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.055 · Cited by 55 · see citing works
Birdsong, Speech, and Language
(2013) · The MIT Press eBooks · doi:10.7551/mitpress/9322.001.0001 · Cited by 55 · see citing works
Inoue, M., & Mikami, A. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00552.2005 · Cited by 54 · see citing works
How the human auditory system treats repetition amongst change
Horváth, J., & Winkler, I. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.07.004 · Cited by 41 · see citing works
Shetreet, E., & Friedmann, N. (2013) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2013.06.003 · Cited by 41 · see citing works
Probing the lifetimes of auditory novelty detection processes
Pegado, F., Bekinschtein, T. A., Chausson, N., Dehaene, S., Cohen, L., & Naccache, L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.06.030 · Cited by 39 · see citing works
Self-citationTransfer of a Serial Representation between Two Distinct Tasks by Rhesus Macaques
Jensen, G., Altschul, D., Danly, E., & Terrace, H. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070285 · Cited by 39 · see citing works
Merritt, D. J., & Terrace, H. S. (2011) · Journal of comparative psychology · doi:10.1037/a0021572 · Cited by 39 · see citing works
Spontaneous non‐verbal counting in toddlers
Sella, F., Berteletti, I., Lucangeli, D., et al. (2015) · Developmental Science · doi:10.1111/desc.12299 · Cited by 39 · see citing works
Merchant, H., Bartolo, R., Pérez, O., Méndez, J. C., Mendoza, G., Gámez, J., Yc, K., & Prado, L. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-1782-2_8 · Cited by 38 · see citing works
The Temporal Dynamics of Regularity Extraction in Non-Human Primates
Minier, L., Fagot, J., & Rey, A. (2016) · Cognitive Sciences · doi:10.1111/cogs.12279 · Cited by 34 · see citing works
Neural Mechanisms Underlying the Computation of Hierarchical Tree Structures in Mathematics
Nakai, T., & Sakai, K. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111439 · Cited by 27 · see citing works
Representations of abstract grammatical feature agreement in young children
Melançon, A., & Shi, R. (2015) · Journal of Child Language · doi:10.1017/s0305000914000804 · Cited by 25 · see citing works
The problem of rapid variable creation
Hadley, R. F. (2009) · Neural Computation · doi:10.1162/neco.2008.07-07-572 · Cited by 23 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Conscious Processing and the Global Neuronal Workspace Hypothesis
Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.026 · Cited by 1,164 · see citing works
Self-citationHuman replay spontaneously reorganizes experience
Liu, Y., Dolan, R. J., Kurth-Nelson, Z., & Behrens, T. E. J. (2019) · Cell · doi:10.1016/j.cell.2019.06.012 · Cited by 497 · see citing works
Evaluating the neurophysiological evidence for predictive processing as a model of perception
Walsh, K. S., McGovern, D. P., Clark, A., & O'Connell, R. G. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14321 · Cited by 333 · see citing works
Neurons along the auditory pathway exhibit a hierarchical organization of prediction error
Parras, G. G., Nieto-Diego, J., Carbajal, G. V., Valdés-Baizabal, C., Escera, C., & Malmierca, M. S. (2017) · Nature Communications · doi:10.1038/s41467-017-02038-6 · Cited by 344 · see citing works
Neurophysiological dynamics of phrase-structure building during sentence processing
Nelson, M. J., El Karoui, I., Giber, K., Yang, X., Cohen, L., Koopman, H., Cash, S. S., Naccache, L., Hale, J. T., Pallier, C., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701590114 · Cited by 319 · see citing works
Self-citationLarge-scale cortical networks for hierarchical prediction and prediction error in the primate brain
Chao, Z. C., Takaura, K., Wang, L., Fujii, N., & Dehaene, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.004 · Cited by 238 · see citing works
Self-citationfMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C., Blank, I. A., van Schijndel, M., Schuler, W., & Fedorenko, E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107307 · Cited by 215 · see citing works
Active inference on discrete state-spaces: A synthesis
Da Costa, L., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. (2020) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2020.102447 · Cited by 226 · see citing works
Interactional synchrony: signals, mechanisms and benefits
Hoehl, S., Fairhurst, M., & Schirmer, A. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa024 · Cited by 231 · see citing works
Language as a biomarker for psychosis: a natural language processing approach
Corcoran, C. M., Mittal, V. A., Bearden, C. E., E. Gur, R., Hitczenko, K., Bilgrami, Z., Savic, A., Cecchi, G. A., & Wolff, P. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.04.032 · Cited by 186 · see citing works
From many to (n)one: Meditation and the plasticity of the predictive mind
Laukkonen, R. E., & Slagter, H. A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.021 · Cited by 187 · see citing works
Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119 · see citing works
Statistical Learning Signals in Macaque Inferior Temporal Cortex
Kaposvari, P., Kumar, S., & Vogels, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhw374 · Cited by 91 · see citing works
Toward the neural implementation of structure learning
Tervo, D. G. R., Tenenbaum, J. B., & Gershman, S. J. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.01.014 · Cited by 106 · see citing works
Production of Supra-regular Spatial Sequences by Macaque Monkeys
Jiang, X., Long, T., Cao, W., Li, J., Dehaene, S., & Wang, L. (2018) · Current Biology · doi:10.1016/j.cub.2018.04.047 · Cited by 89 · see citing works
Self-citationUnpacking the complexities of consciousness: Theories and reflections
Mudrik, L., Boly, M., Dehaene, S., Fleming, S. M., Lamme, V., Seth, A., & Melloni, L. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106053 · Cited by 81 · see citing works
Self-citationMills, C., Zamani, A., White, R., & Christoff, K. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0692 · Cited by 27 · see citing works
A beautiful loop: An active inference theory of consciousness.
Laukkonen, R., Friston, K., & Chandaria, S. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106296 · Cited by 22 · see citing works
Memory leaks: information shared across memory systems
Robertson, E. M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.03.010 · Cited by 20 · see citing works
Evolution of Brains and Computers: The Roads Not Taken
Solé, R., & Seoane, L. F. (2022) · Entropy · doi:10.3390/e24050665 · Cited by 14 · see citing works
- Authors
- Dehaene, S., Meyniel, F., Wacongne, C., Wang, L., & Pallier, C.
- Affiliations
- Université Paris-Sud (FR)
- New York University Shanghai (CN)
- Corresponding author
- Dehaene, Stanislas
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 88
- Issue
- 1
- Pages
- 2-19
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1906221854
- Cited by
- 478
- References
- 168
- Citations by year
- 2026: 34 · 2025: 64 · 2024: 63 · 2023: 50 · 2022: 46 · 2021: 57 · 2020: 42 · 2019: 35 · 2018: 31 · 2017: 31 · 2016: 24
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- sequence coding, transition probabilities, chunking, human language evolution
- MeSH terms
- Brain, Cognition, Humans, Language, Probability
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