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  • Review Article
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Counting on neurons: the neurobiology of numerical competence

Key Points

  • Numbers can be used most flexibly to quantify, rank and identify. 'Cardinal' number refers to quantitative number assignments assessing set size (numerosity), whereas 'ordinal' number applies to numerical rank, which concerns serial order. Finally, nominal number identifies objects.

  • The development of a full-blown, systematic number concept is only possible through language. However, animals and humans are nonetheless able to non-verbally grasp the cardinality of objects in order to judge numerical quantity, as well as serial order to allow them to assess numerical rank. So, numerical competence did not emerge de novo in linguistic humans, but built up on biological precursor systems.

  • Behavioural studies have shown that non-linguistic animals have the capacity to assess numerical quantity and rank. Animals have been trained to discriminate numerosities in a controlled laboratory setting, and animals in the wild have been shown to spontaneously use numerical information to allow them to make informed choices in their natural environment. List learning, which is the ability to encode and then retrieve an arbitrary list of items in their correct order, opened a window for studying how the ordinal rank of objects is learned and stored by animals. Moreover, pre-verbal human infants of several months of age already have the capacity to represent cardinality. Finally, some indigenous human cultures that lack number words or have a restricted concept of verbal counting can only estimate the number of items in a set by means of a non-verbal quantification system.

  • Single-cell recordings in monkeys and functional imaging studies in humans have helped to identify the neural basis of numerical competence. Quantity information is represented in the posterior parietal cortex in close association with the prefrontal cortex. The response properties of numerosity-selective cortical cells can explain basic psychophysical phenomena, such as the numerical distance effect and the numerical size effect. In humans, the intraparietal sulcus of the parietal lobe is specifically activated by non-verbal and verbal quantity information, independently of sensory modality, symbolic notation or cognitive status.

  • In monkeys, numerical rank, irrespective of the sensory properties of the objects involved, is encoded by neurons in the lateral prefrontal cortex. Neurons that encode the ordinal position of task-related hand or eye movements have been found in a variety of motor-related cortical areas in trained monkeys. In addition, in functional imaging studies in humans, the prefrontal and parietal cortices have also been found to be more strongly activated for order information.

  • Together, neural data on numerosity and serial order indicate that numerical quantity and rank order information are likely to share the same neural system, with the prefrontal cortex and the intra-parietal sulcus as key structures.

Abstract

Numbers are an integral part of our everyday life — we use them to quantify, rank and identify objects. The verbal number concept allows humans to develop superior mathematical and logic skills that define technologically advanced cultures. However, basic numerical competence is rooted in biological primitives that can be explored in animals, infants and human adults alike. We are now beginning to unravel its anatomical basis and neuronal mechanisms on many levels, down to its single neuron correlate. Neural representations of numerical information can engage extensive cerebral networks, but the posterior parietal cortex and the prefrontal cortex are the key structures in primates.

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Figure 1: Schematic illustration of how object properties are represented verbally and non-verbally according to the three numerical concepts — quantity, rank and label.
Figure 2: Representation of visual cardinality in rhesus monkeys.
Figure 3: Functional MRI adaptation with numerosities in humans.
Figure 4: List learning experiments in rhesus monkeys.
Figure 5: Temporal ordering task and single cell responses from the prefrontal cortex.
Figure 6: Medial and lateral views of a rhesus monkey brain showing areas in which serial order activity has been reported.

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References

  1. Frege, G. The Foundations of Arithmetic. A Logic-Mathematical Enquiry into the Concept of Number. (trans. Austin, J. L.) (Blackwell, Oxford, 1884).

    Google Scholar 

  2. Danzig, T. Number, the Language of Science (Free, New York, 1954).

    Google Scholar 

  3. Dehaene, S. The Number Sense (Oxford Univ. Press, New York, 1997).

    Google Scholar 

  4. Gallistel, C. R. & Gelman, R. Non-verbal numerical cognition: from reals to integers. Trends Cogn. Sci. 4, 59–65 (2000).

    Article  CAS  PubMed  Google Scholar 

  5. Henschen, S. E. Über Sprach-, Musik und Rechenmechanismen und ihre Lokalisation im Grobhirn. Z. ges. Neurologie und Psychiatrie 52, 273–298 (1919).

    Google Scholar 

  6. Gerstmann, J. Syndrome of finger agnosia, disorientation for right and left agraphia and acalculia. Arch. Neurol. Psychiatry 44, 398–408 (1940).

    Article  Google Scholar 

  7. Luria, A. R. The Higher Cortical Functions in Man (Basic Books, New York, 1966).

    Google Scholar 

  8. Fuson, K. C. & Hall, J. W. in The Development of Mathematical Thinking (ed. Ginsburg, H. P.) 49–107 (Academic, New York, 1983).

    Google Scholar 

  9. Wiese, H. Numbers, Language, and the Human Mind (Cambridge Univ. Press, Cambridge, UK, 2003). A book that describes the human number faculty, merging verbal and non-verbal psychological findings into a major linguistic–philosophical concept.

    Book  Google Scholar 

  10. Wiese, H. Iconic and non-iconic stages in number development: the role of language. Trends Cogn. Sci. 7, 385–390 (2003).

    Article  PubMed  Google Scholar 

  11. Hauser, M. D., Chomsky, N. & Fitch, W. T. The faculty of language: what is it, who has it, and how did it evolve? Science 298, 1569–1579 (2002).

    Article  CAS  PubMed  Google Scholar 

  12. Davis, H. & Perusse, R. Numerical competence in animals: definitional issues, current evidence, and a new research agenda. Behav. Brain Sci. 11, 561–615 (1988).

    Article  Google Scholar 

  13. Brannon, E. M. & Terrace, H. S. Ordering of the numerosities 1 to 9 by monkeys. Science 282, 746–749 (1998). A pioneering behavioural study showing that monkeys are able to understand the ordinal relationship of numerosities.

    Article  CAS  PubMed  Google Scholar 

  14. Hauser, M. D., MacNeilage, P. & Ware, M. Numerical representations in primates. Proc. Natl Acad. Sci. USA 93, 1514–1517 (1996).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Sulkowski, G. M. & Hauser, M. D. Can rhesus monkeys spontaneously subtract? Cognition 79, 239–262 (2001).

    Article  CAS  PubMed  Google Scholar 

  16. Flombaum, J., Junge, J. & Hauser, M. D. Rhesus monkeys (Macaca mulatta) spontaneously compute addition operations over large numbers. Cognition (in the press).

  17. Feigenson, L., Dehaene, S. & Spelke, E. Core systems of number. Trends Cogn. Sci. 8, 307–314 (2004).

    Article  PubMed  Google Scholar 

  18. Wynn, K. Addition and subtraction by human infants. Nature 358, 749–750 (1992).

    Article  CAS  PubMed  Google Scholar 

  19. Whalen, J., Gallistel, C. R. & Gelman, R. Nonverbal counting in humans: the psychophysics of number representations. Psychol. Sci. 10, 130–137 (1999).

    Article  Google Scholar 

  20. Cordes, S., Gelman, R., Gallistel, C. R. & Whalen, J. Variability signatures distinguish verbal from nonverbal counting for both large and small numbers. Psychon. Bull. Rev. 8, 698–707 (2001).

    Article  CAS  PubMed  Google Scholar 

  21. Barth, H., Kanwisher, N. & Spelke, E. The construction of large number representations in adults. Cognition 86, 201–221 (2003).

    Article  PubMed  Google Scholar 

  22. Blake, B. Australian Aboriginal Languages: a General Introduction 2nd edn (Univ. Queensland Press, St Lucia, Queensland, 1991).

    Google Scholar 

  23. Pica, P., Lemer, C., Izard, V. & Dehaene, S. Exact and approximate arithmetic in an Amazonian indigene group. Science 306, 499–503 (2004). Humans that lack number words for larger numerosities perform approximate numerical computations.

    Article  CAS  PubMed  Google Scholar 

  24. Gordon, P. Numerical cognition without words: evidence from Amazonia. Science 306, 496–499 (2004). Cardinality judgments in humans without a verbal number concept are astonishingly poor and reminiscent of the discrimination performances of animals.

    Article  CAS  PubMed  Google Scholar 

  25. Hauser, M. D. & Spelke, E. S. in The Cognitive Neurosciences III (ed. Gazzaniga, M.) (MIT Press, Cambridge, Massachusetts, 2004).

    Google Scholar 

  26. Meck, W. H. & Church, R. M. A mode control model of counting and timing processes. J. Exp. Psychol. Anim. Behav. Proc. 9, 320–334 (1983).

    Article  CAS  Google Scholar 

  27. Nieder, A. & Miller, E. K. Coding of cognitive magnitude: compressed scaling of numerical information in the primate prefrontal cortex. Neuron 37, 149–157 (2003).

    Article  CAS  PubMed  Google Scholar 

  28. Nieder, A. & Miller, E. K. Analog numerical representations in rhesus monkeys: evidence for parallel processing. J. Cogn. Neurosci. 16, 889–901 (2004).

    Article  PubMed  Google Scholar 

  29. Mechner, F. Probability relations within response sequences under ratio reinforcement. J. Exp. Anal. Behav. 1, 109–121 (1958).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Van Oeffelen, M. P. & Vos, P. G. A probabilistic model for the discrimination of visual number. Percept. Psychophys. 32, 163–170 (1982).

    Article  CAS  PubMed  Google Scholar 

  31. Brannon, E. M. & Terrace, H. S. Representation of the numerosities 1–9 by rhesus macaques (Macaca mulatta). J. Exp. Psychol. Anim. Behav. Process. 26, 31–49 (2000).

    Article  CAS  PubMed  Google Scholar 

  32. Kaufman, E. L., Lord, M. W., Reese, T. W. & Volkmann, J. The discrimination of visual number. Am. J. Psychol. 62, 498–525 (1949).

    Article  CAS  PubMed  Google Scholar 

  33. Mandler, G. & Shebo, B. J. Subitizing: an analysis of its component processes. J. Exp. Psychol. Gen. 111, 1–22 (1982).

    Article  CAS  PubMed  Google Scholar 

  34. Kahneman, D., Treisman, A. & Gibbs, B. The reviewing of object files: object-specific integration of information. Cognit. Psychol. 24, 175–219 (1992).

    Article  CAS  PubMed  Google Scholar 

  35. Feigenson, L. & Carey, S. Tracking individuals via object-files: evidence from infants' manual search. Dev. Sci. 6, 568–584 (2003).

    Article  Google Scholar 

  36. Xu, F. & Spelke, E. S. Large number discrimination in 6-month old infants. Cognition 74, B1–B11 (2000).

    Article  CAS  PubMed  Google Scholar 

  37. McCrink, K. & Wynn, K. Large-number addition and subtraction by 9-month-old infants. Psychol. Sci. 15, 776–781 (2004).

    Article  PubMed  Google Scholar 

  38. Hauser, M. D., Carey, S. & Hauser, L. B. Spontaneous number representation in semi-free-ranging rhesus monkeys. Proc. R. Soc. Lond. B 267, 829–833 (2000).

    Article  CAS  Google Scholar 

  39. Uller, C., Hauser, M. D. & Carey, S. Spontaneous representation of number in cotton-top tamarins (Saguinus oedipus). J. Comp. Psychol. 115, 248–257 (2001).

    Article  CAS  PubMed  Google Scholar 

  40. Hauser, M. D., Tsao, F., Garcia, P. & Spelke, E. S. Evolutionary foundations of number: spontaneous representation of numerical magnitudes by cotton-top tamarins. Proc. R. Soc. Lond. B 270, 1441–1446 (2003).

    Article  Google Scholar 

  41. Beran, M. J. & Beran, M. M. Chimpanzees remember the results of one-by-one addition of food items to sets over extended time periods. Psychol. Sci. 15, 94–99 (2004).

    Article  PubMed  Google Scholar 

  42. Balakrishnan, J. D. & Ashby, F. G. Subitizing: magical numbers or mere superstition. Psychol. Res. 54, 80–90 (1992).

    Article  CAS  PubMed  Google Scholar 

  43. Pylyshyn, Z. W. Seeing and Visualizing: It's Not What You Think (Bradford Books, MIT Press, Massachusetts, 2003).

    Book  Google Scholar 

  44. Sathian, K. et al. Neural evidence linking visual object enumeration and attention. J. Cogn. Neurosci. 11, 36–51 (1999).

    Article  CAS  PubMed  Google Scholar 

  45. Piazza, M., Mechelli, A., Butterworth, B. & Price, C. J. Are subitizing and counting implemented as separate or functionally overlapping processes? Neuroimage 15, 435–446 (2002).

    Article  PubMed  Google Scholar 

  46. Piazza, M., Giacomini, E., Le Bihan, D. & Dehaene, S. Single-trial classification of parallel pre-attentive and serial attentive processes using functional magnetic resonance imaging. Proc. R. Soc. Lond. B 270, 1237–1245 (2003).

    Article  Google Scholar 

  47. Nieder, A., Freedman, D. J. & Miller, E. K. Representation of the quantity of visual items in the primate prefrontal cortex. Science 297, 1708–1711 (2002). The authors taught monkeys to judge whether two successively presented visual displays contained the same number of items. Neurons in the prefrontal cortex were maximally activated by a specific number of items, but were unaffected by changes in the exact appearance of the stimuli.

    Article  CAS  PubMed  Google Scholar 

  48. Nieder, A. & Miller, E. K. A parieto-frontal network for visual numerical information in the monkey. Proc. Natl Acad. Sci. USA 101, 7457–7462 (2004). A comparison of numerosity-selective neurons recorded in three areas (prefrontal, posterior parietal and anterior temporal) of the same monkeys. Quantity information was first represented in the posterior parietal cortex, but the prefrontal cortex showed the highest proportion of numerosity-selective neurons.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Sawamura, H., Shima, K. & Tanji, J. Numerical representation for action in the parietal cortex of the monkey. Nature 415, 918–922 (2002).

    Article  CAS  PubMed  Google Scholar 

  50. Romo, R., Brody, C. D., Hernandez, A. & Lemus, L. Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 399, 470–473 (1999).

    Article  CAS  PubMed  Google Scholar 

  51. Brody, C. D., Hernandez, A., Zainos, A. & Romo, R. Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cereb. Cortex 13, 1196–1207 (2003).

    Article  PubMed  Google Scholar 

  52. Petrides, M. & Pandya, D. N. in Principles of Frontal Lobe Function (eds Stuss, D. T. & Knight, R. T.) 31–50 (Oxford Univ. Press, Oxford, 2002).

    Book  Google Scholar 

  53. Miller, E. K. & Cohen, J. D. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24, 167–202 (2001).

    Article  CAS  PubMed  Google Scholar 

  54. Green, D. M. & Swets, J. A. Signal Detection Theory and Psychophysics (Wiley, New York, 1966).

    Google Scholar 

  55. Piazza, M., Izard, V., Pinel, P., Le Bihan, D. & Dehaene, S. Tuning curves for approximate numerosity in the human intraparietal sulcus. Neuron 44, 547–555 (2004). Shows that visual numerosities automatically activate the intraparietal sulcus of humans. Using an fMRI adaptation protocol, the authors were able to reconstruct numerosity activation profiles reminiscent to single-neuron numerosity tuning curves.

    Article  CAS  PubMed  Google Scholar 

  56. Shuman, M. & Kanwisher, N. Numerical magnitude in the human parietal lobe: tests of representational generality and domain specificity. Neuron 44, 557–569 (2004).

    Article  CAS  PubMed  Google Scholar 

  57. Gibbon, J. Scalar expectancy theory and Weber's Law in animal timing. Psychol. Rev. 84, 279–335 (1977).

    Article  Google Scholar 

  58. Brannon, E. M., Wusthoff, C. J., Gallistel, C. R. & Gibbon, J. Numerical subtraction in the pigeon: evidence for a linear subjective number scale. Psychol. Sci. 12, 238–243 (2001).

    Article  CAS  PubMed  Google Scholar 

  59. Dehaene, S. & Mehler, J. Cross-linguistic regularities in the frequency of number words. Cognition 43, 1–29 (1992).

    Article  CAS  PubMed  Google Scholar 

  60. Dehaene, S. Subtracting pigeons: logarithmic or linear? Psychol. Sci. 12, 244–246 (2001).

    Article  CAS  PubMed  Google Scholar 

  61. Dehaene, S. & Changeux, J. P. Development of elementary numerical abilities: a neuronal model. J. Cogn. Neurosci. 5, 390–407 (1993).

    Article  CAS  PubMed  Google Scholar 

  62. Verguts, T. & Fias, W. Representation of number in animals and humans: a neural model. J. Cogn. Neurosci. 16, 1493–1504 (2004).

    Article  PubMed  Google Scholar 

  63. Dehaene, S. The neural basis of the Weber–Fechner law: a logarithmic mental number line. Trends Cogn. Sci. 7, 145–147 (2003).

    Article  PubMed  Google Scholar 

  64. Xia, L., Emmerton, J., Siemann, M. & Delius, J. D. Pigeons (Columba livia) learn to link numerosities with symbols. J. Comp. Psychol. 115, 83–91 (2001).

    Article  CAS  PubMed  Google Scholar 

  65. Pepperberg, I. M. Evidence for conceptual quantitative abilities in the African parrot: labeling of cardinal sets. Ethology 75, 37–61 (1987).

    Article  Google Scholar 

  66. Washburn, D. A. & Rumbaugh, D. M. Ordinal judgements of numerical symbols by macaques (Macaca mulatta). Psychol. Sci. 2, 190–193 (1991).

    Article  CAS  PubMed  Google Scholar 

  67. Matsuzawa, T. Use of numbers by a chimpanzee. Nature 315, 57–59 (1985).

    Article  CAS  PubMed  Google Scholar 

  68. Boysen, S. T. & Bernston, G. G. Numerical competence in a chimpanzee. J. Comp. Psychol. 103, 23–31 (1989).

    Article  CAS  PubMed  Google Scholar 

  69. Eger, E., Sterzer, P., Russ, M. O., Giraud, A. L. & Kleinschmidt, A. A supramodal number representation in human intraparietal cortex. Neuron 37, 719–725 (2003). Functional imaging study showing that both spoken and written numerals can specifically activate the human intraparietal sulcus automatically and task-independently.

    Article  CAS  PubMed  Google Scholar 

  70. Naccache, L. & Dehaene, S. The priming method: imaging unconscious repetition priming reveals an abstract representation of number in the parietal lobe. Cereb. Cortex 11, 966–974 (2001).

    Article  CAS  PubMed  Google Scholar 

  71. Pinel, P., Piazza M., Le Bihan, D. & Dehaene, S. Distributed and overlapping cerebral representations of number, size, and luminance during comparative judgments. Neuron 41, 983–993 (2004). Using fMRI, the authors report that different types of magnitude (luminance, size and numerical value) activate overlapping parietal regions in humans.

    Article  CAS  PubMed  Google Scholar 

  72. Fias, W., Lammertyn, J., Reynvoet, B., Dupont, P. & Orban, G. A. Parietal representation of symbolic and nonsymbolic magnitude. J. Cogn. Neurosci. 15, 47–56 (2003).

    Article  PubMed  Google Scholar 

  73. Kleinschmidt, A. Thinking big; many modules or much cortex? Neuron 41, 842–844 (2004).

    Article  CAS  PubMed  Google Scholar 

  74. Nieder, A. The number domain — can we count on parietal cortex? Neuron 44, 407–409 (2004).

    Article  CAS  PubMed  Google Scholar 

  75. Dehaene, S., Piazza, M., Pinel, P. & Cohen, L. Three parietal circuits for number processing. Cogn. Neuropsychol. 20, 487–506 (2003).

    Article  PubMed  Google Scholar 

  76. Dehaene, S., Spelke, E., Pinel, P., Stanescu, R. & Tsivkin, S. Sources of mathematical thinking: behavioural and brain imaging evidence. Science 284, 970–974 (1999).

    Article  CAS  PubMed  Google Scholar 

  77. Menon, V. et al. Functional optimization of arithmetic processing in perfect performers. Cogn. Brain Res. 9, 343–345 (2000).

    Article  CAS  Google Scholar 

  78. Lee, K. M. Cortical areas differentially involved in multiplication and subtraction: a functional magnetic resonance imaging study and correlation with a case of selective acalculia. Ann. Neurol. 48, 657–661 (2000).

    Article  CAS  PubMed  Google Scholar 

  79. Gruber, O., Indefrey, P., Steinmetz, H. & Kleinschmidt, A. Dissociating neural correlates of cognitive components in mental calculation. Cereb. Cortex 11, 350–359 (2001).

    Article  CAS  PubMed  Google Scholar 

  80. Simon, O., Mangin, J. F., Cohen, L., Le Bihan, D. & Dehaene, S. Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. Neuron 33, 475–487 (2002).

    Article  CAS  PubMed  Google Scholar 

  81. Isaacs, E. B., Edmonds, C. J., Lucas, A. & Gadian, D. G. Calculation difficulties in children of very low birthweight: a neural correlate. Brain 124, 1701–1707 (2001).

    Article  CAS  PubMed  Google Scholar 

  82. Landerl, K., Bevan, A. & Butterworth, B. Developmental dyscalculia and basic numerical capacities: a study of 8–9-year-old students. Cognition 93, 99–125 (2004).

    Article  PubMed  Google Scholar 

  83. Molko, N. et al. Functional and structural alterations of the intraparietal sulcus in a developmental dyscalculia of genetic origin. Neuron 40, 847–858 (2003).

    Article  CAS  PubMed  Google Scholar 

  84. Molko, N. et al. Brain anatomy in Turner syndrome: evidence for impaired social and spatial–numerical networks. Cereb. Cortex 14, 840–850 (2004).

    Article  CAS  PubMed  Google Scholar 

  85. Rivera, S. M., Menon, V., White, C. D., Glaser, B. & Reiss, A. L. Functional brain activation during arithmetic processing in females with fragile X syndrome is related to FMR1 protein expression. Hum. Brain Mapp. 16, 206–218 (2002).

    Article  PubMed  PubMed Central  Google Scholar 

  86. Eliez, S. et al. Functional brain imaging study of mathematical reasoning abilities in velocardiofacial syndrome (del22q11.2). Genet. Med. 3, 49–55 (2001).

    Article  CAS  PubMed  Google Scholar 

  87. Swartz, K. B., Chen, S. & Terrace, H. S. Serial learning by Rhesus monkeys. I. Acquisition and retention of multiple four-item lists. J. Exp. Psychol. Anim. Behav. Process. 17, 396–410 (1991).

    Article  CAS  PubMed  Google Scholar 

  88. Straub, R. O., Seidenberg, M. S., Bever, T. G. & Terrace, H. S. Serial learning in the pigeon. J. Exp. Anal. Behav. 32, 137–148 (1979).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Terrace, H. S., Son, L. & Brannon, E. Serial expertise by rhesus macaques. Psychol. Sci. 14, 66–73 (2003).

    Article  PubMed  Google Scholar 

  90. Ebbinghaus, H. Memory: a Contribution to Experimental Psychology (Dover, New York, 1964).

    Google Scholar 

  91. Ebenholtz, S. M. Serial learning: position learning and sequential associations. J. Exp. Psychol. 66, 353–362 (1963).

    Article  CAS  PubMed  Google Scholar 

  92. Chen, S., Swartz, K. B. & Terrace, H. S. Knowledge of the ordinal position of list items in rhesus monkeys. Psychol. Sci. 8, 80–86 (1997). Shows that monkeys understand and use numerical rank information.

    Article  Google Scholar 

  93. Orlov, T., Yakovlev, V., Hochstein, S. & Zohary, E. Macaque monkeys categorize images by their ordinal number. Nature 404, 77–80 (2000).

    Article  CAS  PubMed  Google Scholar 

  94. Orlov, T., Yakovlev, V., Amit, D., Hochstein, S. & Zohary, E. Serial memory strategies in macaque monkeys: behavioral and theoretical aspects. Cereb. Cortex 12, 306–317 (2002).

    Article  Google Scholar 

  95. Milner B. Interhemispheric differences in the localization of psychological processes in man. Br. Med. Bull. 27, 272–277 (1971).

    Article  CAS  PubMed  Google Scholar 

  96. McAndrews, M. P. & Milner, B. The frontal cortex and memory for temporal order. Neuropsychologia 29, 849–859 (1991).

    Article  CAS  PubMed  Google Scholar 

  97. Petrides, M. & Milner, B. Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man. Neuropsychologia 20, 249–262 (1982).

    Article  CAS  PubMed  Google Scholar 

  98. Milner, B., Corsi, P. & Leonard, G. Frontal-lobe contribution to recency judgments. Neuropsychologia 29, 601–618 (1991).

    Article  CAS  PubMed  Google Scholar 

  99. Shimamura, A. P., Janowsky, J. S. & Squire, L. R. Memory for the temporal order of events in patients with frontal lobe lesions and amnesic patients. Neuropsychologia 28, 803–813 (1990).

    Article  CAS  PubMed  Google Scholar 

  100. Petrides, M. Impairments on nonspatial self-ordered and externally ordered working memory tasks after lesions of the mid-dorsal part of the lateral frontal cortex in the monkey. J. Neurosci. 15, 359–375 (1995).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  101. Cabeza, R. et al. Brain regions differentially involved in remembering what and when: a PET study. Neuron 19, 863–870 (1997).

    Article  CAS  PubMed  Google Scholar 

  102. Cabeza, R., Anderson, N. D., Houle, S., Mangels, J. A. & Nyberg, L. Age-related differences in neural activity during item and temporal-order memory retrieval: a positron emission tomography study. J. Cogn. Neurosci. 12, 197–206 (2000).

    Article  CAS  PubMed  Google Scholar 

  103. Konishi, S. et al. Neural correlates of recency judgment. J. Neurosci. 22, 9549–9555 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Marshuetz, C., Smith, E. E., Jonides, J., DeGutis, J. & Chenevert, T. L. Order information in working memory: fMRI evidence for parietal and prefrontal mechanisms. J. Cogn. Neurosci. 12 Suppl. 2, 130–144 (2000).

    Article  PubMed  Google Scholar 

  105. Bengtsson S. L., Ehrsson, H. H., Forssberg, H. & Ullen, F. Dissociating brain regions controlling the temporal and ordinal structure of learned movement sequences. Eur. J. Neurosci. 19, 2591–2602 (2004).

    Article  PubMed  Google Scholar 

  106. Ninokura, Y., Mushiake, H. & Tanji, J. Representation of the temporal order of visual objects in the primate lateral prefrontal cortex. J. Neurophysiol. 89, 2868–2873 (2003).

    Article  PubMed  Google Scholar 

  107. Ninokura, Y., Mushiake, H. & Tanji, J. Integration of temporal order and object information in the monkey lateral prefrontal cortex. J. Neurophysiol. 91, 555–560 (2004). Single-cell study showing that neurons in the prefrontal cortex of macaques encode the numerical rank of successively-displayed objects.

    Article  PubMed  Google Scholar 

  108. Funahashi, S., Inoue, M. & Kubota, K. Delay-period activity in the primate prefrontal cortex encoding multiple spatial positions and their order of presentation. Behav. Brain Res. 84, 203–223 (1997).

    Article  CAS  PubMed  Google Scholar 

  109. Barone, P. & Joseph, J. P. Prefrontal cortex and spatial sequencing in macaque monkey. Exp. Brain Res. 78, 447–464 (1989).

    Article  CAS  PubMed  Google Scholar 

  110. Kermadi, I. & Joseph, J. P. Activity in the caudate nucleus of monkey during spatial sequencing. J. Neurophysiol. 74, 911–933 (1995).

    Article  CAS  PubMed  Google Scholar 

  111. Procyk, E. & Joseph, J. P. Characterization of serial order encoding in the monkey anterior cingulate sulcus. Eur. J. Neurosci. 14, 1041–1046 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Procyk, E., Tanaka, Y. L. & Joseph, J. P. Anterior cingulate activity during routine and non-routine sequential behaviors in macaques Nature Neurosci. 3, 502–508 (2000).

    Article  CAS  PubMed  Google Scholar 

  113. Clower, W. T. & Alexander, G. E. Movement sequence-related activity reflecting numerical order of components in supplementary and presupplementary motor areas. J. Neurophysiol. 80, 1562–1566 (1998).

    Article  CAS  PubMed  Google Scholar 

  114. Tanji, J. & Shima, K. Role for supplementary motor area cells in planning several movements ahead. Nature 371, 413–416 (1994).

    Article  CAS  PubMed  Google Scholar 

  115. Shima, K. & Tanji, J. Neuronal activity in the supplementary and presupplementary motor areas for temporal organization of multiple movements. J. Neurophysiol. 84, 2148–2160 (2000).

    CAS  PubMed  Google Scholar 

  116. Isoda, M. & Tanji, J. Participation of the primate presupplementary motor area in sequencing multiple saccades. J. Neurophysiol. 92, 653–659 (2004).

    Article  PubMed  Google Scholar 

  117. Isoda, M. & Tanji, J. Contrasting neuronal activity in the supplementary and frontal eye fields during temporal organization of multiple saccades. J. Neurophysiol. 90, 3054–3065 (2003).

    Article  PubMed  Google Scholar 

  118. Carpenter, A. F., Georgopoulos, A. P. & Pellizzer, G. Motor cortical encoding of serial order in a context-recall task. Science 283, 1752–1757 (1999).

    Article  CAS  PubMed  Google Scholar 

  119. Gevers, W., Reynvoet, B. & Fias, W. The mental representation of ordinal sequences is spatially organized. Cognition 87, B87–B95 (2003).

    Article  PubMed  Google Scholar 

  120. Cipolotti, L., Butterworth, B. & Denes, G. A specific deficit for numbers in a case of dense acalculia. Brain 114, 2619–2637 (1991).

    Article  PubMed  Google Scholar 

  121. Delazer, M. & Butterworth, B. A dissociation of number meanings. Cogn. Neuropsychol. 14, 613–636 (1997).

    Article  Google Scholar 

  122. Turconi, E. & Seron, X. Dissociation between order and quantity meanings in a patient with Gerstmann syndrome. Cortex 38, 911–914 (2002).

    Article  Google Scholar 

  123. Turconi, E., Jemel, B., Rossion, B. & Seron, X. Electrophysiological evidence for differential processing of numerical quantity and order in humans. Brain Res. Cogn. Brain Res. 21, 22–38 (2004).

    Article  PubMed  Google Scholar 

  124. Houde, O. & Tzourio-Mazoyer, N. Neural foundations of logical and mathematical cognition. Nature Rev. Neurosci. 4, 507–514 (2003).

    Article  CAS  Google Scholar 

  125. Hassenstein, B. Otto Koehler — his life and his work. Z. Tierpsychol. 35, 449–464 (1974).

    Article  CAS  PubMed  Google Scholar 

  126. Koehler, O. Vom Erlernen unbenannter Anzahlen bei Vögeln. Naturwissenschaften 29, 201–218 (1941).

    Article  Google Scholar 

  127. Koehler, O. The ability of birds to “count”. Bull. Anim. Behav. 9, 41–45 (1951).

    Google Scholar 

  128. Hassmann, M. Vom Erlernen unbenannter Anzahlen beim Eichhörnchen. Z. Tierpsychol. 9, 294–321 (1952).

    Article  Google Scholar 

  129. McComb, K., Packer, C. & Pusey, A. Roaring and numerical assessment in contests between groups of female lions, Panthera leo. Anim. Behav. 47, 379–387 (1994).

    Article  Google Scholar 

  130. Wilson, M. L., Hauser, M. D. & Wrangham, R. W. Does participation in intergroup conflict depend on numerical assessment, range location, or rank for wild chimpanzees? Anim. Behav. 61, 1203–1216 (2001).

    Article  Google Scholar 

  131. Wilson, M. L., Britton, N. F. & Franks, N. R. Chimpanzees and the mathematics of battle. Proc. R. Soc. Lond. B 269, 1107–1112 (2002).

    Article  Google Scholar 

  132. Hauser, M. D., Carey, S. & Hauser, L. B. Spontaneous number representation in semi-free-ranging rhesus monkeys. Proc. R. Soc. Lond. B 267, 829–833 (2000).

    Article  CAS  Google Scholar 

  133. Lyon, B. E. Egg recognition and counting reduce costs of avian conspecific brood parasitism. Nature 422, 495–499 (2003).

    Article  CAS  PubMed  Google Scholar 

  134. Bergman, T. J., Beehner, J. C., Cheney, D. L. & Seyfarth, R. M. Hierarchical classification by rank and kinship in baboons. Science 302, 1234–1236 (2003).

    Article  CAS  PubMed  Google Scholar 

  135. Weber, E. H. De Pulsu, Resorptione, Auditu et Tactu: Annotationes Anatomicae et Physiologicae (Koehler, Leipzig, Germany, 1834).

    Google Scholar 

  136. Fechner, G. T. Elemente der Psychophysik (Breitkopf & Härtel, Leipzig, Germany, 1860).

    Google Scholar 

  137. Randall, D., Burggren, W. & French, K. Eckert Animal Physiology 5th edn (W. H. Freeman & Co., New York, 2002).

    Google Scholar 

  138. Dayan, P. & Abbott, L. F. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (MIT Press, Cambridge, Massachusetts, 2001).

    Google Scholar 

  139. Seron, X., Pesenti, M., Noel, M. P., Deloche, G. & Cornet, J. A. Images of numbers, or 'when 98 is upper left and 6 sky blue'. Cognition 44, 159–196 (1992).

    Article  CAS  PubMed  Google Scholar 

  140. Rickmeyer, K. 'Die Zwölf liegt hinter der nächsten Kurve und die Sieben ist pinkrot': Zahlenraumbilder und bunte Zahlen. J. Mathematik-Didaktik 22, 51–71 (2001).

    Article  Google Scholar 

  141. Galton, F. Visualised numerals. Nature 21, 252–256 (1880).

    Article  Google Scholar 

  142. Restle, F. Speed of adding and comparing numbers. J. Exp. Psychol. 91, 191–205 (1970).

    Google Scholar 

  143. Dehaene, S., Bossini, S. & Giraux, P. The mental representation of parity and number magnitude. J. Exp. Psychol. Gen. 122, 371–396 (1993).

    Article  Google Scholar 

  144. Fischer, M. H., Castel, A. D., Dodd, M. D. & Pratt, J. Perceiving numbers causes spatial shifts of attention. Nature Neurosci. 6, 555–556 (2003).

    Article  CAS  PubMed  Google Scholar 

  145. Moyer, R. S. & Landauer, T. K. Time required for judgments of numerical inequality. Nature 215, 1519–1520 (1967).

    Article  CAS  PubMed  Google Scholar 

  146. Zorzi, M., Priftis, K. & Umilta, C. Brain damage: neglect disrupts the mental number line. Nature 417, 138–139 (2002). A lesion study in humans showing that spatial neglect patients misplace the midpoint of a numerical interval when asked to bisect it.

    Article  CAS  PubMed  Google Scholar 

  147. Vuilleumier, P., Ortigue, S. & Brugger, P. The number space and neglect. Cortex 40, 399–410 (2004).

    Article  PubMed  Google Scholar 

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Acknowledgements

I thank I. Diester, O. Tudusciuc and K. Seymour for valuable comments on the manuscript. I. Diester provided figure 3a. My work is supported by a research group grant of the German Research Foundation and a career development award of the Human Frontier Science Program. Dedicated to Philipp.

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HABITUATION–DISHABITUATION PROTOCOL

When repeatedly confronted with displays of a given number of visual objects (for example, two), infants will habituate to this numerosity and their looking time to the displays will decrease, but they will regain interest (dishabituate) if they are then presented with a display containing a different numerosity (for example, three).

DYSCALCULIA

Calculation deficits that are a result of developmental defects in the brain.

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Nieder, A. Counting on neurons: the neurobiology of numerical competence. Nat Rev Neurosci 6, 177–190 (2005). https://doi.org/10.1038/nrn1626

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