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  Previous issue (2019. Vol. 12, no. 3)

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Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036


License: CC BY-NC 4.0

Started in 2008

Published quarterly

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Open Access Journal


Electrical potentials of the brain associated with categorization of labels of animate and inanimate objects 1487

Marchenko O.P.
PhD in Psychology, Research Associate, Center for Experimental Psychology, Moscow State University of Psychology and Education, Moscow, Russia

We studed priming effect in the categorization of animate and inanimate kinds. Fifty subjects performed a categorization task within the context of the priming effect; each trial consisted of a prime-word and a target-word, and subjects had to decide as fast and as accurately as possible whether or not target-word belongs or to the category, denoted by the prime-word. Such indicators as reaction time, accuracy, Event Related Potentials (ERPs) were recorded while subjects performed the task, and at the end of the study subjects provided self-reports. Subjects responded more quickly and more accurately to related targets than to unrelated ones (p=0,00), and the same condition is evaluated by them as a simpler condition. It is shown that the amplitude of the N400 is attenuated when the target corresponds to the prime-word by the meaning, and the amplitude of LPC is enhanced. The ERP pattern was different for animate and inanimate categories. ERP priming effect was greater for animate categories. Priming effect as a difference of indicators between positive and negative conditions was more evident for animate categories than for inanimate ones.

Keywords: priming effect, categorization, ERP, categories of animate and inanimate kinds

Column: Psychophysiology

For Reference

  1. Alexandrov I.O. Aktivnost' korkovyh neironov pri razlichnyh ishodah obnaruzheniya signala // Neirony v povedenii: systemnie aspekty. M.: Nauka, 1986. C. 194–206.
  2. Alexandrov I.O. Psihofiziologicheskoe issledovanie povedeniya cheloveka i zhivotnyh pri obnaruzhenii signala // Psihofizika diskretnyh i nepreryvnyh zadach. M.: Nauka, 1985. S. 195–228.
  3. Aleksandrov I.O., Maksimova N.E. Svjazannye s sobytijami potencialy mozga (SSP) v psihofiziologicheskom issledovanii / Osnovy psihofiziologii. Izd. 2-e, dop. i pererab. // Pod red. Ju.I. Aleksandrova. SPb.: Piter, 2001. Gl. 16. S. 342–362.
  4. Alexandrov I.O., Maksimova N.E. Funktsional'noe znachenie kolebaniya R300 // Psihologicheskij zhurnal. 1985. T. 6. № 2. S. 86–95.
  5. Alexandrov I.O. Formirovanie struktury individual'nogo znaniya. M.: Izd-vo «Institut Psihologii RAN», 2006. 560 s.
  6. Alexandrov Yu.I., Grechenko T.N., Gavrilov V.V., Gorkin A.G., Shevchenko D.G., Grinchenko Yu.V., Alexandrov I.O., Maksimova N.E., Bezdenezhnyh B.N., Bodunov M.V. Zakonomernosti formirovaniya i realizatsii individual'nogo opyta // Zhurnal vysshei nervnoi deyatel'nosti. 1997. T. 47. №2. S. 243–260. 
  7. Alexandrov Yu.I. Systemnaya psihofiziologiya // Psihofiziologiya: Uchebnik dlya vuzov /Pod. red. Yu. I. Alexandrova. SPb.: Piter, 2006. S. 252–309.
  8. Bezdenezhnyh B.N. Dinamika vzaimodeistviya funktsional'nyh system v strukture deyatel'nosti. M.: Izd-vo «Institut psihologii RAN», 2004. 271s.
  9. Bezdenezhnyh B.N., Bodunov M.V. Mezhsystemnie otnosheniya pri vypolnenii zadachi vybora: issledovaniya effekta posledovatel'nosti // Psihologicheskij zhurnal. 2001. T. 22. № 2. S. 36–49.
  10. Bruner Dzh. Psihologiya poznaniya. Za predelami neposredstvennoi informatsii / Per. s angl. M.: Progress, 1977. 413 s.
  11. Gavrilov V.V. Sootnoshenie EEG i impul'snoi aktivnosti neironov v povedenii u krolika // EEG i neironal'naya aktivnost' v psihofiziologicheskih issledovaniyah. M.: Nauka, 1987. S. 5–17.
  12. Gregori R.L. Glaz i mozg. M.: Izd-vo «Progress», 1970. 269s.
  13. Kovtunovich M.G. Associativnyi eksperiment kak metod viyavleniya stroeniya struktur dolgovremennoi semanticheskoi pamyati (na primere analiza stroeniya logiko-semanticheskoi oblasti vokrug fundamental'nogo estestvennonauchnogo ponyatiya «veschestvo» u uchaschihsya 7-h klassov//Psihologiya vysshih kognitivnyh protsessov/ Pod T.N. Ushakovoi, N.I. Chuprikovoi. M.: Izd-vo «Institut psihologii RAN», 2004. 304 s.
  14. Lakoff Dzh. Zhenschiny, ogon' i opasnie veschi: chto kategorii yazyka govoryat nam o myshlenii/ Per. s angl. I. B. Shatunovskogo. M.: Yazyki slavyanskoi kul'tury, 2004. 792 s.
  15. Lakoff Dzh. Kognitivnaya semantika // Yazyk i intellekt: Sb./Per. s angl. i nem. M.: «Progress», 1996. S. 143–184.
  16. Luriya Ya.R. Yazyk i soznanie. Izd-vo Mosk. Un-ta, 1979. 320 s.
  17. Maksimova N.E., Alexandrov I.O. Tipologiya medlennyh potentsialov mozga, neironal'naya aktivnost' i dinamika systemnoi organizatsii povedeniiya // EEG i neironal'naya aktivnost' v psihofiziologicheskih issledovaniyah. M.: Nauka, 1987. S. 44–72.
  18. Marchenko O. P., Bezdenezhnyh B. N. Kategorizatsia slov kak sposob izucheniya mezhsystemnyh otnoshenij // Psihologicheskij zhurnal. 2008. T. 29. № 3. S. 97–105.
  19. Marchenko O. P. Psihofiziologicheskie zakonomernosti organizatsii domenov individual'nogo opyta. Dissertatsia. 2009.
  20. Shvyrkov V. B. Vvedenie v ob'ektivnuyu psihologiyu. Neironal'nie osnovy psihiki: Izbrannie trudy. M.: Izdvo «Institut psihologii RAN», 2006. 592 s.
  21. Shvyrkov V.B. Na puti k psihofiziologicheskoi teorii povedeniya // Psihologicheskij zhurnal. 1982(a). T. 3. № 2. S. 70–88.
  22. Shvyrkov V.B. O systemnyh osnovah psihofiziologii // Systemnyi podhod k psihofiziologicheskoi probleme. M.: Nauka. 1982(b). C. 10–23.
  23. Shvyrkov V.B. Psihofiziologicheskoe izuchenie struktury sub'ektivnogo otrazheniya // Psihologicheskij zhurnal. 1985. T. 6. №3. S. 22–37.
  24. Shvyrkov V.B. Vvedenie v ob'ektivnuyu psihologiyu. Neironal'nie osnovy psihiki. M.: Izd-vo IP RAN, 1995.
  25. Shvyrkova N.A., Shvyrkov V.B. Korkovie neirony v poiskovom povedenii i obuchenii // Poiskovaya aktivnost', motivatsia i son. Baku: ELM, 1986. S. 65–73.
  26. Aleksandrov I.O., Maksimova N.E. Р300 and psychological analysis of the structure of behavior // Electroencephalography and clinical Neurophysiology. 1985. Vol. 61. P. 548–558.
  27. Anderson J.E., Holcomb P.J. Auditory and visual semantic priming using different stimulus onset asynchronies: an event-related brain potential study // Psychophysiology. 1995. Vol. 32. № 2. P. 177–190.
  28. Baars B. J., Ramsoy Th. Z., Laureys S. Brain, conscious experience and the observing self // Trends in Neurosciences. 2003. Vol. 26. № 12. P. 671–675.
  29. Barry Ch., Johnston R. A., Wood R. F. Effects of age of acquisition, age, and repetition priming on object naming // Visual Cognition. 2006. Vol.13. № 7/8. P. 911–927.
  30. Bentin S., McCarthy G., Wood C.C. Event-related potentials, lexical decision and semantic priming // Electroencephalography and Clinical Neurophysiology. 1985. Vol. 60.№ 4. P. 343–355.
  31. Bertenthal B.I. Origins and early development of perception, action, and representation // Annual Review of Psycholology. 1996. Vol. 47. P. 431–459.
  32. Boddy J. Event-related potentials in chronometric analysis of primed word recognition with different stimulus onset asynchronies // Psychophysiology. 1986. Vol. 23 (2). P. 232–245.
  33. Boser K., Higgins S., Fetherston A., Preissler M.A., Gordon B. Semantic fields in low-functioning autism // Autism and Developmental Disorders. 2002. Vol. 32(6). P. 563–582.
  34. Caramazza A., Shelton J.R. Domain specific knowledge systems in the brain: the animate-inanimate distinction // Journal of Cognitive Neuroscience. 1998. Vol. 10. № 1. P. 1–34.
  35. Catling J. C., Johnston R. A. The effects of age of acquisition on an object classification task // Visual Cognition. 2006. Vol.13. № 7/8. P. 968–980.
  36. Chao L. L., Weisberg J., Martin A. Expirience-dependent modulation of category-related cortical activity // Cerebral Cortex. 2002. Vol. 12. P. 545–551.
  37. Cooper L. A., Schacter D. L., Ballesteros S., Moore C. Priming and recognition of transformed three-dimensional objects: effects of size and reflection // Journal of Experimental Psychology. Learning Memory Cognition. 1992. Vol. 18. P. 43–57.
  38. Damasio H., Tranel D., Grabowski T., Adolphs R., Damasio A. Neural systems behind word and concept retrieval // Cognition. 2004. Vol. 92. P. 179–229.
  39. Deacon D., Uhm T.J., Ritter W., Hewitt S., Dynowska A. The lifetime of automatic semantic priming effects may exceed two seconds // Cognitive Brain Research. 1999. Vol. 7. № 4. P. 465–472.
  40. Diesendruck G., Gelman S.A. Domain differences in absolute judgments of category membership: Evidence for an essentialist account of categorization // Psychonomic Bulletin and Review. 1999. Vol.6. № 2. P. 338–346.
  41. Donchin E., Coles M. G. H. Is the P300 component a manifestation of context updating? // The Behavioral and Brain Sciences. 1988. Vol. 11. P. 355–425.
  42. Donchin E. Event-related brain potentials: A tool in the study of human information processsing // H. Begleiter (Ed.). Evoked potentials and behavior. New York: Plenum Press, 1979. P. 13–75.
  43. Engel A. K., Moll Ch. K. E., Fried I., Ojemann G. A. Invasive recordings from the human brain: clinical insights and beyond // Nature Neuroscience. 2005. Vol. 6. P. 35–47.
  44. Fabiani M., Gratton G., Federmeier K. D. Event-related brain potentials: Methods, theory, and applications // J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson (Eds.). Handbook of Psychophysiology. Third Edition. Cambridge University Press, 2007. P. 85–119.
  45. Forster K. I. Category size effects revisited: Frequency and masked priming effects in semantic categorization // Brain and Language. 2004. Vol. 90. P. 276–286.
  46. Freedman D. J., Riesenhuber M., Poggio T., Miller E. K. Categorical representation of visual stimuli in the primate prefrontal cortex // Science. 2001. Vol. 291. P. 312–316.
  47. Ganis G., Kutas M. An electrophysiological study of scene effects on object identification // Cognitive Brain Research. 2003. Vol. 16. № 2. Р. 123–144.
  48. Garrard P., Lambon Ralph M.A., Watson P.C., Powis J., Patterson K., Hodges J.R. Longitudinal profiles of semantic impairment for living and nonliving concepts in dementia of alzheimer’s type // Journal of Cognitive Neuroscience. 2001. Vol. 13. P. 892–909.
  49. Gehring W. J., Gratton G., Coles M. G. H., Donchin E. Probability effects on stimulus evaluation and response processes // Journal of Experimental Psychology: Human Perception and Performance. 1992. Vol. 18. P. 198–216.
  50. Gerhand S., Barry C.O. Age of acquisition, word frequency, and the role of phonology in the lexical decision task // Memory and Cognition. 1999. Vol. 27. №4. P. 592–602.
  51. Grezes J., Fonlupt P., Bertenthal B., Delon-Martin Ch., Segebarth Ch., Decety J. Does perception of biological motion rely on specific brain regions? // NeuroImage. 2001. Vol. 13. P. 775–785.
  52. Grezes J. Tucker M., Armony J., Ellis R., Passingham R. Objects automatically potentiate action: an fMRI study of implicit processing // European Journal of Neuroscience. 2003. Vol. 17. P. 2735–2740.
  53. Gross Ch. G. Coding for visual categories in the human brain // Nature Neuroscience. 2000. Vol. 3. № 9. P. 855–856.
  54. Harnad S. To cognize is to categorize: cognition is categorization // Handbook of categorization in cognitive science. Еdited by Cohen H., Lefebvre C. Elsevier science & technology books. 2005. P. 1–15.
  55. Hauser M. D., Santos L.R. The evolutionary ancestry of our knowledge of tools: from percepts to concepts // Creations of the Mind, E. Margolis & S. Lawrence (Eds.). Oxford University Press, 2007.
  56. Hauser M.D. A nonhuman primate`s expectations about object motion and destination: the importance of self propelled movement and animacy // Developmental Science. 1998. Vol. 1. №1. P. 31–37.
  57. Hernandez A. E., Fiebach Ch. J. The brain bases of reading late learned words: Evidence from functional MRI // Visual Cognition. 2006. Vol. 13. № 7/8. P. 1027–1043.
  58. Johnston R.A., Barry Ch. Age of acquisition and lexical processing // Visual Сognition. 2006. Vol. 13. №7/8. P. 789–845.
  59. Kalenine S., Bonthoux F. Adults differently process taxonomic and thematic semantic relations according to object kinds // Proceedings of the European Cognitive Science Conference, Delphi, Greece, Lawrence Erlbraum Associates. 2007. P. 95–100.
  60. Kiefer M. Perceptual and semantic sources of category-specific effects: Event-related potentials during picture and word categorization // Memory and Cognition. 2001. Vol. 29. № 1. P.100–116.
  61. Kiefer M. Repetition-priming modulates category-related effects on event-related potentials: further evidence for multiple cortical semantic systems // Journal of Cognitive Neuroscience. 2005. Vol. 17. P. 199–210.
  62. King J. W., Kutas M. Neural plasticity in the dynamics of visual word recognition // Neuroscience Letters. 1998. Vol. 244. № 2. Р. 61–64.
  63. Kraut M.A., Moo L.R., Segal J. B., Hart J. Neural activation during an explicit categorization task: categoryor feature-specific effects? // Cognitive Brain Research. 2002. Vol. 13. P. 213–220.
  64. Kreiman G., Fried I., Koch Ch. Single-neuron correlates of subjective vision in the human medial temporal lobe // PNAS, 2002. Vol. 99. №. 12. P. 8378–8383.
  65. Kreiman G., Koch Ch., Fried I. Category-specific visual responses of single neurons in the human medial temporal lobe // Nature Neuroscience. 2000. Vol. 3. № 9. P. 946–953.
  66. Kutas M. and Donchin E. Variations in the latency of P300 as a function of variations in semantic categorization // D. Otto (Ed.). Multidisciplinary Perspectives in Event-related Brain Potentials Research. Government Printing Office, 1978. Р. 198–201.
  67. Kutas M., Hillyard S. A. Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity // Science. 1980. Vol. 207. P. 203–205.
  68. Kutas M., Hillyard S. A. Brain potentials reflect word expectancy and semantic association during reading // Nature. 1984. Vol. 307. P. 161–163.
  69. Kutas M., Federmeier K. D. Electrophysiology reveals semantic memory use in language comprehension // Trends in Cognitive Science. 2000. Vol. 4. №12. Р. 463–470.
  70. Kutas M., Federmeier K. D., Coulson S., King J. W., Münte T. F. Language //J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson (Eds.). Handbook of Psychophysiology, Cambridge University Press, 2000. P. 576–601.
  71. Kutas M., Federmeier K. D., Staab J., Kluender R. Language // J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson (Eds.). Handbook of Psychophysiology. Third Edition. Cambridge University Press, 2007. Р. 555–580.
  72. Kutas M., Iragui V. The N400 in a semantic categorization task across six decades // Electroencephalography and Clinical Neurophysiology. 1998. Vol. 108. P. 456–471.
  73. Kutas M., McCarthy G., Donchin E. Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time // Science. 1977. Vol. 197. P. 792–795.
  74. Lambon Ralph M. A., Patterson K., Garrard P., Hodges J. R. Semantic dementia with category specificity: a comparative case-series study // Cognitive Neuropsychology. 2003. Vol. 20. P. 307–326.
  75. Laws K.R., Leeson V.C., McKenna P.J. Domain-specific deficits in schizophrenia // Cognitive Neuropsychiatry. 2006. Vol. 11. № 6. P. 537–556.
  76. Laws K.R., Neve C. A ‘‘normal’’ advantage for naming living things // Neuropsychologia. 1999. Vol. 37. P. 1263–1269.
  77. Mandler J. M. Thought before language // Trends in Cognitive Science. 2004. Vol. 8. № 11. P. 508–513.
  78. Mandryk R. L., Inkpen K. M., Calvert Th. W. Using psychophysiological techniques to measure user experience with entertainment technologies // Behaviour and Infromation Technology. 2006. Vol. 25. № 2. P. 141–158.
  79. Martin A., Wiggs C. L., Ungerleider L. G., Haxby, J.V. Neural correlates of category-specific knowledge// Nature. 1996. Vol. 379. P. 649–652.
  80. McNamara T. P. Theories of priming: I. Associative distance and lag // Journal of Experimental Psychology: Learning, Memory, and Cognition. 1992. Vol. 18. P. 1173–1190.
  81. Medin D. L., Atran S. The native mind: biological categorization, reasoning and decision making in development across cultures // Psychological Review. 2004. Vol. 111. № 4. P. 960–983.
  82. Meteyard L., Zokaei N., Bahrami B., Vigliocco G. Visual motion interferes with lexical decision on motion words // Current Biology. 2008. Vol. 18. P. 732–733.
  83. Morrison C. M., Ellis A. W., Quinlan P. T. Age of acquisition, not word frequency, affects object naming, not object recognition // Memory and Cognition. 1992. Vol. 20. № 6. P. 705–714.
  84. Morrison C. M., & Ellis A. W. The role of word frequency and age of acquisition in word naming and lexical decision // Journal of Experimental Psychology: Learning, Memory and Cognition. 1995. Vol. 21. P. 116–133.
  85. Morrison C. M., Gibbons Z. C. Lexical determinants of semantic processing speed // Visual Cognition. 2006. Vol. 13. № 7/8. P. 949–967.
  86. Neely J. H. Semantic priming and retrieval from lexical memory: roles of inhibitionless spreading activation and limited-capacity attention // Journal of Experimental Psychology: General. 1977. Vol. 106. № 3. P. 226–254.
  87. Olichney J.M., Van Petten C., Paller K.A., Salmon D.P., Iragui V.J., Kutas M. Word repetition in amnesia. Electrophysiological measures of impaired and spared memory // Brain. 2000. Vol. 123. № 9. P. 1948–1963.
  88. Perani D., Schnur T., Tettamanti M., Marilu’Gorno-Tempini, Cappa S. F., Fazio F. Word and picture matching: a PET study of semantic category effects // Neuropsychologia. 1999. Vol. 37. P. 293–306.
  89. Pizzagalli D. A. Electroencephalography and high-density electrophysiological source localization // J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson (Eds.). Handbook of Psychophysiology. Third Edition. Cambridge University Press, 2007. P. 56–84.
  90. Polich J., Donchin E. P300 and the word frequency effect // Electroencephalography and Clinical Neurophysiology. 1988. Vol. 70. P. 33–45.
  91. Proverbio A. M., Vecchi L., Zani, A. From orthography to phonetics: ERP measures of grapheme-to-phoneme conversion mechanisms in reading // Journal of Cognitive Neuroscience. 2004. Vol. 16. № 2. P. 301–317.
  92. Proverbio A. M., Del Zotto M., Zani A. The emergence of semantic categorization in early visual processing: ERP indices of animal vs. artifact recognition // BMC Neuroscience. 2007. Vol. 8 (1). Р. 1–16.
  93. Quinn W.M., Kinoshita S. Congruence effect in semantic categorization with masked primes with narrow and broad categories // Journal of Memory and Language. 2008. Vol. 58. P. 286–306.
  94. Rakison D.H., Poulin-Dubois D. The developmental origin of the animate-inanimate distinction // Psychological Bulletin. 2001. Vol. 127. № 2. P. 209–228.
  95. Ritter W., Simson R., Vaughan H. G., Jr., Macht M. Manipulation of event-related potential manifestations of information processing stages // Science. 1982. Vol. 218. P. 909–911.
  96. Rohrer D., Wixted J.T. An analysis of latency and interresponse time in free recall // Memоry Cognition. 1994. Vol. 22. № 5. Р. 511–524.
  97. Santos L.R., Hauser M.D., Spelke E.S. Domain-specific knowledge in human children and non-human primates: Artifact and food kinds // The Cognitive Animal / M. Bekoff, C. Allen & G. Burghardt (Eds). Cambridge: MIT Press, 2002. P. 205–216.
  98. Santos L.R., Hauser M.D., Spelke E.S. Recognition and categorization of biologically significant objects in rhesus monkeys (Macaca mulatta): The domain of food // Cognition. 2001. Vol. 82. P. 127–155.
  99. Saygin A.P., Cicekli I., Akman V. Turing Test: 50 Years Later // Minds and Machines. 2000. Vol. 10. № 4. P. 463–518.
  100. Schacter D. L., Dobbins I. G., Schnyer D. M. Specificity of priming: a cognitive neuroscience perspective // Nature Neuroscience. 2004. Vol. 5. № 11. P. 853–862.
  101. Schacter D.L., Buckner R.L. Priming and the brain. Review // Neuron. 1998. Vol. 20. P. 185–195.
  102. Schaeffer B., Wallace R. The comparison of word meanings // Journal of Experimental Psychology.1970. Vol. 86. P. 144–152.
  103. Schendan H. E. Kutas M. Neurophysiological evidence for the time course of activation of global shape, part, and local contour representations during visual object categorization and memory // Journal of Cognitive Neuroscience. 2007. Vol.19. № 5. Р. 734–749.
  104. Schendan H.E., Kutas M. Neurophysiological evidence for two processing times for visual object identification // Neuropsychologia. 2002. Vol. 40. № 7. Р. 931–945.
  105. Schendan H.E., Kutas M. Time course of processes and representations supporting visual object identification and memory // Journal of Cognitive Neuroscience. 2003. Vol. 15. № 1. Р. 111–135.
  106. Schendan H., Ganis G., Kutas M. Neurophysiological evidence for visual perceptual organization of words and faces by 150 ms // Psychophysiology. 1998. Vol. 35. № 3. Р. 240–251.
  107. Schendan H.E., Maher S.M. Object knowledge during entry-level categorization is activated and modified by implicit memory after 200 ms // Neuroimage. 2009. Vol. 44. P. 1423–1438.
  108. Sirevaag E. J., Kramer A. F., Coles M. G., Donchin E. Resource reciprocity: an event-related brain potentials analysis // Acta Psychologica. 1989. Vol. 70. №1. P. 77–97.
  109. Spitzer M., Kischka U., Gückel F., Bellemann M.E., Kammer T., Seyyedi S., Weisbrod M., Schwartz A., Brix G. Functional magnetic resonance imaging of category-specific cortical activation: evidence for semantic maps // Cognitive Brain Research. 1998. Vol. 6. P. 309–319.
  110. Tainturier M.-J., Tamminen J., Thierry G. Age of acquisition modulates the amplitude of the P300 component in spoken word recognition // Neuroscience Letters. 2005. Vol. 379. P. 17–22.
  111. Tanaka J., Luu Ph., Wesbrod M., Kiefer M. Tracking the time course of object categorization using evenrelated potentials // NeuroReport. 1999. Vol.10. P. 829–835.
  112. Tucker M., Ellis R. Action priming by briefly presented objects // Acta Psychologica. 2004. Vol. 116. P. 185–203.
  113. Turing A. Computing Machinery and Intelligence // Mind. 1950. Vol. 59. № 236. P. 433–460.
  114. Van Petten C., Kutas M. Interactions between sentence context and word frequency in event-related brain potentials // Memory and Cognition. 1990. Vol. 18. № 4. P. 380–393.
  115. Van Petten C., Kutas M., Kluender R., Mitchiner M., McIsaac H. K. Fractionating the word repetition effect with event-related potentials // Journal of Cognitive Neuroscience. 1991. 3(2). P. 131–150.
  116. Vitali P., Abutalebi J., Tettamanti M., Rowe J., Scifo P., Fazio F., Cappa S.F., Perani D. Generating animal and tool names: An fMRI study of effective connectivity // Brain and Language. 2005. Vol. 93. P. 32–45.
  117. Wolff P., Medin D.L., Pankratz C. Evolution and devolution of folkbiological knowledge // Cognition. 1999. Vol. 73. № 2. P. 177–204.
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