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Abstract

This paper challenges the “sequence bottleneck” hypothesis, which claims that limitations in sequence memory constrain animal cognition and that human language emerged by overcoming this universal limit. Drawing on comparative neuroscience, behavioral ecology, and language evolution research, we argue that long, linear sequences in human language are not the generative core of linguistic capacity but a niche-specific output format. Across taxa, the hippocampal system — and its analogues — supports the generation of hierarchical, multimodal event structures that are flexibly adapted to each species’ ecological demands. Human language arose when these ancient hierarchical generators were co-opted into a multimodal communicative system shaped by the “linguistic niche,” where pressures for precise, rapid, and cumulative transmission favored the linearization of complex conceptual structures. We highlight three core critiques of the bottleneck view: (i) hippocampal sequence generation is evolutionarily widespread and hierarchically organized, not inherently limited in length; (ii) laboratory sequence tasks often lack ecological validity, underestimating non-human capacities; and (iii) many species achieve sophisticated communication through non-linear, multimodal formats. We propose an integrative neuroecological model in which sequence form is contingent on niche-specific adaptive pressures, reframing cross-species comparisons around the diversity of representational formats rather than deficits in linear output. This approach replaces a deficit-oriented metric with a framework that recognizes both the deep continuity of neural mechanisms and the adaptive divergence of communicative solutions across species.

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/content/journals/10.1075/elt.25002.shi
2026-05-07
2026-06-07
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References

  1. Agarwal, A., Sarel, A., Derdikman, D., Ulanovsky, N., & Gutfreund, Y.
    (2023) Spatial coding in the hippocampus and hyperpallium of flying owls. Proceedings of the National Academy of Sciences, (), . 10.1073/pnas.2212418120
    https://doi.org/10.1073/pnas.2212418120 [Google Scholar]
  2. Arnon, I., Carmel, L., Claidière, N., Fitch, W. T., Goldin-Meadow, S., Kirby, S., Okanoya, K., Limor, R., Lucie, W. & Fisher, S. E.
    (2025) What enables human language? A biocultural framework. Science, (), eadq8303. 10.1126/science.adq8303
    https://doi.org/10.1126/science.adq8303 [Google Scholar]
  3. Baddeley, A.
    (2000) The episodic buffer: a new component of working memory?Trends in Cognitive Sciences, (), –. 10.1016/S1364‑6613(00)01538‑2
    https://doi.org/10.1016/S1364-6613(00)01538-2 [Google Scholar]
  4. Barnett, A. J., Nguyen, M., Spargo, J., Yadav, R., Cohn-Sheehy, B. I., & Ranganath, C.
    (2024) Hippocampal-cortical interactions during event boundaries support retention of complex narrative events. Neuron, (), –. 10.1016/j.neuron.2023.10.010
    https://doi.org/10.1016/j.neuron.2023.10.010 [Google Scholar]
  5. Bickerton, D.
    (2009) Adam’s tongue: How humans made language, how language made humans. Macmillan.
    [Google Scholar]
  6. Boesch, C., & Boesch, H.
    (1989) Hunting behavior of wild chimpanzees in the Taï National Park. American Journal of Physical Anthropology, (), –. 10.1002/ajpa.1330780410
    https://doi.org/10.1002/ajpa.1330780410 [Google Scholar]
  7. van Bree, S.
    (2024) Why the neural ingredients for a language of thought are not like spatial cells (commentary on Kazanina & Poeppel, 2023). European Journal of Neuroscience, (), –.
    [Google Scholar]
  8. Buatois, A., & Lihoreau, M.
    (2016) Evidence of trapline foraging in honeybees. Journal of Experimental Biology, (), –. 10.1242/jeb.143214
    https://doi.org/10.1242/jeb.143214 [Google Scholar]
  9. Buzsáki, G., & Tingley, D.
    (2018) Space and time: The hippocampus as a sequence generator. Trends in Cognitive Sciences, (), –. 10.1016/j.tics.2018.07.006
    https://doi.org/10.1016/j.tics.2018.07.006 [Google Scholar]
  10. Byrne, R. W., Cartmill, E., Genty, E., Graham, K. E., Hobaiter, C., & Tanner, J.
    (2017) Great ape gestures: Intentional communication with a rich set of innate signals. Animal Cognition, (), –. 10.1007/s10071‑017‑1096‑4
    https://doi.org/10.1007/s10071-017-1096-4 [Google Scholar]
  11. Calvo, R., & Schluessel, V.
    (2021) Neural substrates involved in the cognitive information processing in teleost fish. Animal Cognition, (), –. 10.1007/s10071‑021‑01514‑3
    https://doi.org/10.1007/s10071-021-01514-3 [Google Scholar]
  12. Cantlon, J. F., & Piantadosi, S. T.
    (2024) Uniquely human intelligence arose from expanded information capacity. Nature Reviews Psychology, (), –. 10.1038/s44159‑024‑00283‑3
    https://doi.org/10.1038/s44159-024-00283-3 [Google Scholar]
  13. Caucheteux, C., Gramfort, A., & King, J. R.
    (2021) Long-range and hierarchical language predictions in brains and algorithms. arXiv preprint arXiv:2111.14232.
    [Google Scholar]
  14. (2023) Evidence of a predictive coding hierarchy in the human brain listening to speech. Nature Human Behaviour, (), –. 10.1038/s41562‑022‑01516‑2
    https://doi.org/10.1038/s41562-022-01516-2 [Google Scholar]
  15. Chomsky, N.
    (1995) The minimalist program. MIT Press.
    [Google Scholar]
  16. (2017) The language capacity: architecture and evolution. Psychonomic Bulletin & Review, (), –. 10.3758/s13423‑016‑1078‑6
    https://doi.org/10.3758/s13423-016-1078-6 [Google Scholar]
  17. Clayton, N. S., & Emery, N. J.
    (2015) Avian models for human cognitive neuroscience: A proposal. Neuron, (), –. 10.1016/j.neuron.2015.04.024
    https://doi.org/10.1016/j.neuron.2015.04.024 [Google Scholar]
  18. Cooper, R. A., & Ritchey, M.
    (2019) Cortico-hippocampal network connections support the multidimensional quality of episodic memory. Elife, , . 10.7554/eLife.45591
    https://doi.org/10.7554/eLife.45591 [Google Scholar]
  19. Covington, N. V., & Duff, M. C.
    (2016) Expanding the language network: Direct contributions from the hippocampus. Trends in Cognitive Sciences, (), –. 10.1016/j.tics.2016.10.006
    https://doi.org/10.1016/j.tics.2016.10.006 [Google Scholar]
  20. Cowan, N.
    (2001) The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, (), –. 10.1017/S0140525X01003922
    https://doi.org/10.1017/S0140525X01003922 [Google Scholar]
  21. Davachi, L., & DuBrow, S.
    (2015) How the hippocampus preserves order: The role of prediction and context. Trends in Cognitive Sciences, (), –. 10.1016/j.tics.2014.12.004
    https://doi.org/10.1016/j.tics.2014.12.004 [Google Scholar]
  22. Davey, J., Thompson, H. E., Hallam, G., Karapanagiotidis, T., Murphy, C., De Caso, I., … & Jefferies, E.
    (2016) Exploring the role of the posterior middle temporal gyrus in semantic cognition: Integration of anterior temporal lobe with executive processes. Neuroimage, , –. 10.1016/j.neuroimage.2016.05.051
    https://doi.org/10.1016/j.neuroimage.2016.05.051 [Google Scholar]
  23. Deuker, L., Bellmund, J. L., Navarro Schröder, T., & Doeller, C. F.
    (2016) An event map of memory space in the hippocampus. Elife, , . 10.7554/eLife.16534
    https://doi.org/10.7554/eLife.16534 [Google Scholar]
  24. Dijksterhuis, D. E., Self, M. W., Possel, J. K., Peters, J. C., Van Straaten, E. C. W., Idema, S., … & Roelfsema, P. R.
    (2024) Pronouns reactivate conceptual representations in human hippocampal neurons. Science, (), –. 10.1126/science.adr2813
    https://doi.org/10.1126/science.adr2813 [Google Scholar]
  25. Domenici, P., Johansen, J. L., Karoliussen, R., Leggieri, F., Dykstra, P., & Jourdain, E.
    (2025) Spatially coordinated predation with division of labor increases feeding success in killer whales. Current Biology. 10.1016/j.cub.2025.06.016
    https://doi.org/10.1016/j.cub.2025.06.016 [Google Scholar]
  26. Duff, M. C., & Brown-Schmidt, S.
    (2012) The hippocampus and the flexible use and processing of language. Frontiers in Human Neuroscience, , . 10.3389/fnhum.2012.00069
    https://doi.org/10.3389/fnhum.2012.00069 [Google Scholar]
  27. Eichert, N., DeKraker, J., Howard, A. F., Huszar, I. N., Zhu, S., Sallet, J., … & Bernhardt, B. C.
    (2024) Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain. Nature Communications, (), . 10.1038/s41467‑024‑49823‑8
    https://doi.org/10.1038/s41467-024-49823-8 [Google Scholar]
  28. Ellis-Soto, D., Flack, A., Strandburg-Peshkin, A., Wild, T. A., Williams, H. J., & O’Mara, M. T.
    (2025) From biologging to conservation: Tracking individual performance in changing environments. Proceedings of the National Academy of Sciences, (), . 10.1073/pnas.2410947122
    https://doi.org/10.1073/pnas.2410947122 [Google Scholar]
  29. Finneran, James J., Ryan Jones, Jason Mulsow, Dorian S. Houser, and Patrick W. Moore
    . “Jittered echo-delay resolution in bottlenose dolphins (Tursiops truncatus).” Journal of Comparative PhysiologyA, no. (2019): –.
    [Google Scholar]
  30. Fitch, W. T., & Hauser, M. D.
    (2004) Computational constraints on syntactic processing in a nonhuman primate. Science, (), –. 10.1126/science.1089401
    https://doi.org/10.1126/science.1089401 [Google Scholar]
  31. Franch, M., Mickiewicz, E. A., Belanger, J. L., Chericoni, A., Chavez, A. G., Katlowitz, K. A., Mathura, R., Bartoli, E., Kemmer, S., Piantadosi, S. T., Provenza, N. R., Watrous, A. J., Sheth, S. A., Hayden, B. Y.
    (2025) A vectorial code for semantics in human hippocampus. bioRxiv, –.
    [Google Scholar]
  32. Garr, E.
    (2019) Contributions of the basal ganglia to action sequence learning and performance. Neuroscience & Biobehavioral Reviews, , –. 10.1016/j.neubiorev.2019.09.017
    https://doi.org/10.1016/j.neubiorev.2019.09.017 [Google Scholar]
  33. Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C.
    (2006) Recursive syntactic pattern learning by songbirds. Nature, (), –. 10.1038/nature04675
    https://doi.org/10.1038/nature04675 [Google Scholar]
  34. Güntürkün, O., & Bugnyar, T.
    (2016) Cognition without cortex. Trends in Cognitive Sciences, (), –. 10.1016/j.tics.2016.02.001
    https://doi.org/10.1016/j.tics.2016.02.001 [Google Scholar]
  35. Hamilton, R. A., Gazda, S. K., King, S. L., Starkhammar, J., & Connor, R. C.
    (2022) Bottlenose dolphin communication during a role-specialized group foraging task. Behavioural Processes, , . 10.1016/j.beproc.2022.104691
    https://doi.org/10.1016/j.beproc.2022.104691 [Google Scholar]
  36. Hochner, B.
    (2012) An embodied view of octopus neurobiology. Current Biology, (), –. 10.1016/j.cub.2012.09.001
    https://doi.org/10.1016/j.cub.2012.09.001 [Google Scholar]
  37. Hotta, T., Awata, S., Jordan, L. A., & Kohda, M.
    (2021) Subordinate fish mediate aggressiveness using recent contest information. Frontiers in Ecology and Evolution, , . 10.3389/fevo.2021.685907
    https://doi.org/10.3389/fevo.2021.685907 [Google Scholar]
  38. Huang, Y. T., Wu, C. T., Fang, Y. X. M., Fu, C. K., Koike, S., & Chao, Z. C.
    (2024) Crossmodal hierarchical predictive coding for audiovisual sequences in the human brain. Communications Biology, (), . 10.1038/s42003‑024‑06677‑6
    https://doi.org/10.1038/s42003-024-06677-6 [Google Scholar]
  39. Kabadayi, C., & Osvath, M.
    (2017) Ravens parallel great apes in flexible planning for tool-use and bartering. Science, (), –. 10.1126/science.aam8138
    https://doi.org/10.1126/science.aam8138 [Google Scholar]
  40. Katlowitz, K. A., Belanger, J. L., Ismail, T., Chavez, A. G., Chericoni, A., Franch, M., … & Hayden, B. Y.
    (2025) Attention is all you need (in the brain): semantic contextualization in human hippocampus. bioRxiv 2025–06.
    [Google Scholar]
  41. Kayne, R. S.
    (1994) The antisymmetry of syntax. MIT Press.
    [Google Scholar]
  42. (2022) Antisymmetry and externalization. Studies in Chinese Linguistics, (), –. 10.2478/scl‑2022‑0001
    https://doi.org/10.2478/scl-2022-0001 [Google Scholar]
  43. Kheradmand, B., Richardson-Ramos, I., Chan, S., Nelson, C., & Nieh, J. C.
    (2025) Honey Bees Can Use Sequence Learning to Predict Rewards from a Prior Unrewarded Visual Stimulus. Insects, (), . 10.3390/insects16040358
    https://doi.org/10.3390/insects16040358 [Google Scholar]
  44. Klein, S., Pasquaretta, C., Barron, A. B., Devaud, J. M., & Lihoreau, M.
    (2017) Inter-individual variability in the foraging behaviour of traplining bumblebees. Scientific Reports, (), . 10.1038/s41598‑017‑04919‑8
    https://doi.org/10.1038/s41598-017-04919-8 [Google Scholar]
  45. Köhler, W.
    (1925) The mentality of apes. Harcourt, Brace & Co.
    [Google Scholar]
  46. Levinson, S. C.
    (2019) Interactional foundations of language: The interaction engine hypothesis. InH. Callan (Ed.), Human language: From genes and brain to behavior (pp.–). MIT Press. 10.7551/mitpress/10841.003.0018
    https://doi.org/10.7551/mitpress/10841.003.0018 [Google Scholar]
  47. Levinson, S. C., & Holler, J.
    (2014) The origin of human multi-modal communication. Philosophical Transactions of the Royal Society B, (), . 10.1098/rstb.2013.0302
    https://doi.org/10.1098/rstb.2013.0302 [Google Scholar]
  48. Liebal, K., Waller, B. M., Slocombe, K. E., & Burrows, A. M.
    (2014) Primate communication: A multimodal approach. Cambridge University Press.
    [Google Scholar]
  49. Lihoreau, M., Raine, N. E., Reynolds, A. M., Stelzer, R. J., Lim, K. S., Smith, A. D., … & Chittka, L.
    (2013) Unravelling the mechanisms of trapline foraging in bees. Communicative & Integrative Biology, (), . 10.4161/cib.22701
    https://doi.org/10.4161/cib.22701 [Google Scholar]
  50. Lind, J., & Jon-And, A.
    (2024) A sequence bottleneck for animal intelligence and language?Trends in Cognitive Sciences, (), –.
    [Google Scholar]
  51. Lisman, J. E., & Idiart, M. A.
    (1995) Storage of 7±2 short-term memories in oscillatory subcycles. Science, (), –.
    [Google Scholar]
  52. López, J. C., Vargas, J. P., Gómez, Y., & Salas, C.
    (2003) Spatial and non-spatial learning in turtles: the role of medial cortex. Behavioural Brain Research, (), –. 10.1016/S0166‑4328(03)00030‑5
    https://doi.org/10.1016/S0166-4328(03)00030-5 [Google Scholar]
  53. Melis, A. P., & Tomasello, M.
    (2013) Chimpanzees’ (Pan troglodytes) strategic helping in a collaborative task. Biology Letters, (), . 10.1098/rsbl.2013.0009
    https://doi.org/10.1098/rsbl.2013.0009 [Google Scholar]
  54. Momennejad, I.
    (2024) Memory, space, and planning: Multiscale predictive representations. arXiv preprint arXiv:2401.09491.
    [Google Scholar]
  55. Murphy, E.
    (2020) The oscillatory nature of language. Cambridge University Press. 10.1017/9781108864466
    https://doi.org/10.1017/9781108864466 [Google Scholar]
  56. (2024) ROSE: A neurocomputational architecture for syntax. Journal of Neurolinguistics, , . 10.1016/j.jneuroling.2023.101180
    https://doi.org/10.1016/j.jneuroling.2023.101180 [Google Scholar]
  57. (2025) ROSE: A universal neural grammar. Cognitive Neuroscience, (), –. 10.1080/17588928.2025.2523875
    https://doi.org/10.1080/17588928.2025.2523875 [Google Scholar]
  58. Murphy, E., Hoshi, K., & Benítez-Burraco, A.
    (2022) Subcortical syntax: Reconsidering the neural dynamics of language. Journal of Neurolinguistics, , . 10.1016/j.jneuroling.2022.101062
    https://doi.org/10.1016/j.jneuroling.2022.101062 [Google Scholar]
  59. Nenning, K. H., Fösleitner, O., Schwartz, E., Schwarz, M., Schmidbauer, V., Geisl, G., … & Bonelli, S. B.
    (2021) The impact of hippocampal impairment on task-positive and task-negative language networks in temporal lobe epilepsy. Clinical Neurophysiology, (), –. 10.1016/j.clinph.2020.10.031
    https://doi.org/10.1016/j.clinph.2020.10.031 [Google Scholar]
  60. Ota, N., & Gahr, M.
    (2022) Context-sensitive dance–vocal displays affect song patterns and partner responses in a socially monogamous songbird. Ethology, (), –. 10.1111/eth.13240
    https://doi.org/10.1111/eth.13240 [Google Scholar]
  61. Park, J., Song, H., & Shim, W. M.
    (2025) Hippocampal systems for event encoding and sequencing during ongoing narrative comprehension. Communications Biology, (), . 10.1038/s42003‑025‑08377‑1
    https://doi.org/10.1038/s42003-025-08377-1 [Google Scholar]
  62. Pleyer, M., Perlman, M., Lupyan, G., de Reus, K., & Raviv, L.
    (2025) The ‘design features’ of language revisited. Trends in Cognitive Sciences: –. 10.1016/j.tics.2025.10.004
    https://doi.org/10.1016/j.tics.2025.10.004 [Google Scholar]
  63. Preston, A. R., & Eichenbaum, H.
    (2013) Interplay of hippocampus and prefrontal cortex in memory. Current Biology, (), –. 10.1016/j.cub.2013.05.041
    https://doi.org/10.1016/j.cub.2013.05.041 [Google Scholar]
  64. Raby, C. R., Alexis, D. M., Dickinson, A., & Clayton, N. S.
    (2007) Planning for the future by western scrub-jays. Nature, (), –. 10.1038/nature05575
    https://doi.org/10.1038/nature05575 [Google Scholar]
  65. Rodríguez, F., López, J. C., Vargas, J. P., Broglio, C., Gómez, Y., & Salas, C.
    (2002) Conservation of spatial memory function in the pallial forebrain of reptiles and ray-finned fishes. Journal of Neuroscience, (), –. 10.1523/JNEUROSCI.22‑07‑02894.2002
    https://doi.org/10.1523/JNEUROSCI.22-07-02894.2002 [Google Scholar]
  66. Ryskin, R., & Nieuwland, M. S.
    (2023) Prediction during language comprehension: what is next?. Trends in Cognitive Sciences, (), –. 10.1016/j.tics.2023.08.003
    https://doi.org/10.1016/j.tics.2023.08.003 [Google Scholar]
  67. Salas, C., Broglio, C., & Rodríguez, F.
    (2003) Evolution of forebrain and spatial cognition in vertebrates: Conservation across diversity. Brain, Behavior and Evolution, (), –. 10.1159/000072438
    https://doi.org/10.1159/000072438 [Google Scholar]
  68. Schwartenbeck, P., Baram, A., Liu, Y., Mark, S., Muller, T., Dolan, R., … & Behrens, T.
    (2023) Generative replay underlies compositional inference in the hippocampal-prefrontal circuit. Cell, (), –. 10.1016/j.cell.2023.09.004
    https://doi.org/10.1016/j.cell.2023.09.004 [Google Scholar]
  69. Shettleworth, S. J.
    (2009) Cognition, evolution, and behavior. Oxford university press. 10.1093/oso/9780195319842.001.0001
    https://doi.org/10.1093/oso/9780195319842.001.0001 [Google Scholar]
  70. Shi, R. Y.
    (2024) Across the boundary: Episodic memory and narrow syntax in human language. Biolinguistics, (), –. . 10.5964/bioling.14649
    https://doi.org/10.5964/bioling.14649 [Google Scholar]
  71. Shi, E. R.
    (2025a) Beyond the cortex–integrating hippocampal function into the Social Brain Hypothesis to explain advanced cognition. Behavioral and Brain Sciences, , . 10.1017/S0140525X25100472
    https://doi.org/10.1017/S0140525X25100472 [Google Scholar]
  72. (2025b) How the brain recycled memory circuits for language: An evolutionary perspective on the ROSE model. Cognitive Neuroscience, (), –. 10.1080/17588928.2025.2561587
    https://doi.org/10.1080/17588928.2025.2561587 [Google Scholar]
  73. Shi, E. R., & Zhang, Q.
    (2020) A domain-general perspective on the role of the basal ganglia in language and music: Benefits of music therapy for the treatment of aphasia. Brain and Language, , . 10.1016/j.bandl.2020.104811
    https://doi.org/10.1016/j.bandl.2020.104811 [Google Scholar]
  74. Shi, E. R., & Zhang, E. Q.
    (2021) Subcortical Contributions to the Uniqueness of Human Cognition. Biolinguistics, , –. 10.5964/bioling.9189
    https://doi.org/10.5964/bioling.9189 [Google Scholar]
  75. Sinha, C.
    (2015) Language and other artifacts: Socio-cultural dynamics of niche construction. Frontiers in Psychology, , . 10.3389/fpsyg.2015.01601
    https://doi.org/10.3389/fpsyg.2015.01601 [Google Scholar]
  76. Sterelny, K.
    (2012) The evolved apprentice. MIT Press. 10.7551/mitpress/9780262016797.001.0001
    https://doi.org/10.7551/mitpress/9780262016797.001.0001 [Google Scholar]
  77. Strausfeld, N. J.
    (2012) Arthropod brains: Evolution, functional elegance, and historical significance. Belknap Press of Harvard University Press. 10.2307/j.ctv1dp0v2h
    https://doi.org/10.2307/j.ctv1dp0v2h [Google Scholar]
  78. Tarder-Stoll, H., Baldassano, C., & Aly, M.
    (2024) The brain hierarchically represents the past and future during multistep anticipation. Nature Communications, (), . 10.1038/s41467‑024‑53293‑3
    https://doi.org/10.1038/s41467-024-53293-3 [Google Scholar]
  79. Takahashi, S., Hombe, T., Matsumoto, S., Ide, K., & Yoda, K.
    (2022) Head direction cells in a migratory bird prefer north. Science Advances, (), . 10.1126/sciadv.abl6848
    https://doi.org/10.1126/sciadv.abl6848 [Google Scholar]
  80. Taylor, A. H., Hunt, G. R., Holzhaider, J. C., & Gray, R. D.
    (2007) Spontaneous metatool use by New Caledonian crows. Current Biology, (), –. 10.1016/j.cub.2007.07.057
    https://doi.org/10.1016/j.cub.2007.07.057 [Google Scholar]
  81. Taylor, A. H., Elliffe, D., Hunt, G. R., & Gray, R. D.
    (2010) Complex cognition and behavioural innovation in New Caledonian crows. Proceedings of the Royal Society B: Biological Sciences, (), –. 10.1098/rspb.2010.0285
    https://doi.org/10.1098/rspb.2010.0285 [Google Scholar]
  82. Taylor, A. H., Miller, R., & Gray, R. D.
    (2012) New Caledonian crows reason about hidden causal agents. Proceedings of the National Academy of Sciences, (), –. 10.1073/pnas.1208724109
    https://doi.org/10.1073/pnas.1208724109 [Google Scholar]
  83. Tomasello, M.
    (2010) Origins of human communication. MIT Press.
    [Google Scholar]
  84. Tomasello, M., Carpenter, M., Call, J., Behne, T., & Moll, H.
    (2005) Understanding and sharing intentions: The origins of cultural cognition. Behavioral and Brain Sciences, (), –. 10.1017/S0140525X05000129
    https://doi.org/10.1017/S0140525X05000129 [Google Scholar]
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  • Article Type: Research Article
Keywords: language evolution ; multimodal communication ; sequence processing ; hippocampus
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