About this Journal Submit a Manuscript Table of Contents
Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 454587, 13 pages
http://dx.doi.org/10.1155/2011/454587
Research Article

Language and Cognition Interaction Neural Mechanisms

Harvard University and Air Force Research Laboratory, Harvard University, SEAS, Cambridge, MA 02446, USA

Received 7 May 2011; Accepted 27 June 2011

Academic Editor: Daoqiang Zhang

Copyright © 2011 Leonid Perlovsky. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. Gödel, in Collected Works, S. Feferman, J. W. Dawson Jr., and S. C. Kleene, Eds., Oxford University Press, New York, NY, USA, 1931–1994.
  2. N. Chomsky, Aspects of the Theory of Syntax, MIT Press, Cambridge, UK, 1965.
  3. N. Chomsky, “Principles and parameters in syntactic theory,” in Explanation in Linguistics. The Logical Problem of Language Acquisition, N. Hornstein and D. Lightfoot, Eds., Longman, London, UK, 1981.
  4. N. Chomsky, The Minimalist Program, MIT Press, Cambridge, UK, 1995.
  5. W. Croft and C. Alan, Cognitive Linguistics, Cambridge University Press, Cambridge, UK, 2004.
  6. V. Evans and M. Green, Cognitive Linguistics: An Introduction, Edinburgh University Press, Edinburgh, UK, 2006.
  7. F. Ungerer and H.-J. Schmid, An Introduction to Cognitive Linguistics, Pearson, New York, NY, USA, 2006.
  8. J. Feldman, “Embodied language, best-fit analysis, and formal compositionality,” Physics of Life Reviews, vol. 7, no. 4, pp. 385–410, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  9. J Hurford, “The evolution of human communication and language,” in Sociobiology of Communication: An Interdisciplinary Perspective, P. D'Ettorre and D. Hughes, Eds., pp. 249–264, Oxford University Press, New York, NY, USA, 2008.
  10. M. H. Christiansen and S. Kirby, Language Evolution, Oxford University Press, New York, NY, USA, 2003.
  11. A. Cangelosi and D. Parisi, Eds., Simulating the Evolution of Language, Springer, London, UK, 2002.
  12. “Modeling language, cognition and action,” in Proceedings of the 9th Neural Computation and Psychology Workshop, A. Cangelosi, G. Bugmann, and R. Borisyuk, Eds., World Scientific, Singapore, May 2005.
  13. A. Cangelosi, V. Tikhanoff, J. F. Fontanari, and E. Hourdakis, “Integrating language and cognition: a cognitive robotics approach,” IEEE Computational Intelligence Magazine, vol. 2, no. 3, pp. 65–70, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. H. Brighton, K. Smith, and S. Kirby, “Language as an evolutionary system,” Physics of Life Reviews, vol. 2, no. 3, pp. 177–226, 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. L. I. Perlovsky, “‘Vague-to-crisp’ neural mechanism of perception,” IEEE Transactions on Neural Networks, vol. 20, no. 8, pp. 1363–1367, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  16. S. Grossberg, Neural Networks and Natural Intelligence, MIT Press, Cambridge, UK, 1988.
  17. S. Grossberg and D. S. Levine, “Neural dynamics of attentionally modulated Pavlovian conditioning: blocking, interstimulus interval, and secondary reinforcement,” Psychobiology, vol. 15, no. 3, pp. 195–240, 1987.
  18. W. Gnadt and S. Grossberg, “SOVEREIGN: an autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal,” Neural Networks, vol. 21, no. 5, pp. 699–758, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  19. P. N. Juslin and D. Västfjäll, “Emotional responses to music: the need to consider underlying mechanisms,” Behavioral and Brain Sciences, vol. 31, no. 5, pp. 559–575, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  20. L. I. Perlovsky, “The mind is not a kludge,” Skeptic, vol. 15, no. 3, pp. 51–55, 2010.
  21. L. I. Perlovsky, “Conundrum of combinatorial complexity,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 6, pp. 666–670, 1998. View at Scopus
  22. L. I. Perlovsky, “Toward physics of the mind: concepts, emotions, consciousness, and symbols,” Physics of Life Reviews, vol. 3, no. 1, pp. 23–55, 2006. View at Publisher · View at Google Scholar · View at Scopus
  23. L. I. Perlovsky, V. H. Webb, S. A. Bradley, and C. A. Hansen, “Improved ROTHR detection and tracking using MLANS,” in Probabilistic Multi-Hypothesis Tracking, R. L. Streit, Ed., pp. 245–254, NUWC Press, Newport, RI, USA, 1988.
  24. R. Mayorga and L. I. Perlovsky, Eds., Sapient Systems, Springer, London, UK, 2008.
  25. L. I. Perlovsky, Neural Networks and Intellect: Using Model Based Concepts, Oxford University Press, New York, NY, USA, 2000.
  26. L. I. Perlovsky, “Gödel theorem and semiotics,” in Proceedings of the Conference on Intelligent Systems and Semiotics, (ISAS '96), vol. 2, pp. 14–18, Gaithersburg, Md, USA, 1996.
  27. L. I. Perlovsky and R. Mayorga, “Preface,” in Sapient Systems, R. Mayorga and L. I. Perlovsky, Eds., Springer, London, UK, 2008.
  28. L. I. Perlovsky and M. M. McManus, “Maximum likelihood neural networks for sensor fusion and adaptive classification,” Neural Networks, vol. 4, no. 1, pp. 89–102, 1991. View at Scopus
  29. L. I. Perlovsky, “Multiple sensor fusion and neural networks,” in DARPA Neural Network Study, MIT/Lincoln Laboratory, Lexington, Mass, USA, 1987.
  30. L. I. Perlovsky and R. Kozma, “Editorial—neurodynamics of cognition and consciousness,” in Neurodynamics of Cognition and Consciousness, L. Perlovsky and R. Kozma, Eds., Springer, Heidelberg, Germany, 2007.
  31. L. I. Perlovsky, “The mind vs. logic: Aristotle and Zadeh,” Critical Review, vol. 1, no. 1, pp. 30–33, 2007, Society for Mathematics of Uncertainty.
  32. L. I. Perlovsky, “Fuzzy dynamic Logic,” New Mathematics and Natural Computation, vol. 2, no. 1, pp. 43–55, 2006.
  33. M. K. Bar, S. Kassam, A. S. Ghuman, et al., “Top-down facilitation of visual recognition,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 2, pp. 449–454, 2006.
  34. L. I. Perlovsky, “Beauty and mathematical intellect,” Zvezda, vol. 9, pp. 190–201, 2000.
  35. D. S. Levine and L. I. Perlovsky, “Simplifying heuristics versus careful thinking: scientific analysis of millennial spiritual issues,” Zygon—Journal of Science and Religion, vol. 43, no. 4, pp. 797–821, 2008. View at Publisher · View at Google Scholar
  36. L. I. Perlovsky, “Sapience, consciousness, and the knowledge instinct. (prolegomena to a physical theory),” in Sapient Systems, R. Mayorga and L. I. Perlovsky, Eds., Springer, London, UK, 2008.
  37. L. I. Perlovsky, “Modeling field theory of higher cognitive functions,” in Artificial Cognition Systems, A. Loula, R. Gudwin, and J. Queiroz, Eds., pp. 64–105, Idea Group, Hershey, Pa, USA, 2007.
  38. L. I. Perlovsky, “Aesthetics and mathematical theories of intellect,” Iskusstvoznanie, vol. 2, no. 2, pp. 558–594, 2002.
  39. L. I. Perlovsky, “Intersections of mathematical, cognitive, and aesthetic theories of mind,” Psychology of Aesthetics, Creativity, and the Arts, vol. 4, no. 1, pp. 11–17, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. L. I. Perlovsky, M.-C. Bonniot-Cabanac, and M. Cabanac, “Curiosity and pleasure,” in Proceedings of the IEEE World Congress on Computational Intelligence, (WCCI '10), Barcelona, Spain, 2010.
  41. L. I. Perlovsky, “Physical theory of information processing in the mind: concepts and emotions,” SEED On Line Journal, vol. 2, no. 2, pp. 36–54, 2002.
  42. G. A. Carpenter and S. Grossberg, “A massively parallel architecture for a self-organizing neural pattern recognition machine,” Computer Vision, Graphics and Image Processing, vol. 37, no. 1, pp. 54–115, 1987. View at Scopus
  43. L. I. Perlovsky, “Neural dynamic logic of consciousness: the knowledge instinct,” in Neurodynamics of Higher-Level Cognition and Consciousness, L. I. Perlovsky and R. Kozma, Eds., Springer, Heidelberg, Germany, 2007.
  44. L. Perlovsky, “Language and cognition,” Neural Networks, vol. 22, no. 3, pp. 247–257, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  45. R. Kozma, M. Puljic, and L. Perlovsky, “Modeling goal-oriented decision making through cognitive phase transitions,” New Mathematics and Natural Computation, vol. 5, no. 1, pp. 143–157, 2009.
  46. L. I. Perlovsky, “Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI,” IEEE Transactions on Neural Networks, vol. 21, no. 5, pp. 718–733, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  47. L. I. Perlovsky, “Cramer-Rao bounds for the estimation of means in a clustering problem,” Pattern Recognition Letters, vol. 8, no. 1, pp. 1–3, 1988. View at Scopus
  48. L. I. Perlovsky, “Cramer-Rao bounds for the estimation of normal mixtures,” Pattern Recognition Letters, vol. 10, no. 3, pp. 141–148, 1989. View at Scopus
  49. L. I. Perlovsky, “Cramer-Rao bound for tracking in clutter and tracking multiple objects,” Pattern Recognition Letters, vol. 18, no. 3, pp. 283–288, 1997. View at Scopus
  50. L. I. Perlovsky, “Cramer-Rao bound for tracking in clutter,” in Probabilistic Multi-Hypothesis Tracking, R. L. Streit, Ed., pp. 77–84, NUWC Press, Newport, RI, USA, 1998.
  51. R. W. Deming and L. I. Perlovsky, “Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors,” Information Fusion, vol. 8, no. 3, pp. 316–330, 2007. View at Publisher · View at Google Scholar · View at Scopus
  52. R. A. Singer, R. G. Sea, and K. B. Housewright, “Derivation and evaluation of improved tracking filters for use in dense multitarget environments,” IEEE Transactions on Information Theory, vol. 20, no. 4, pp. 423–432, 1974. View at Scopus
  53. R. Kozma and W. J. Freeman, “Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions,” Neurocomputing, vol. 44-46, pp. 1107–1112, 2002. View at Publisher · View at Google Scholar · View at Scopus
  54. R. Kozma and W. J. Freeman, “Intermittent spatio-temporal desynchronization and sequenced synchrony in ECoG signals,” Chaos, vol. 18, no. 3, Article ID 037131, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  55. R. Ilin and L. I. Perlovsky, “Cognitively inspired neural network for recognition of situations,” International Journal of Natural Computing Research, vol. 1, no. 1, pp. 36–55, 2010.
  56. L. I. Perlovsky and R. Ilin, “Computational foundations for perceptual symbol system,” in Proceedings of the IEEE World Congress on Computational Intelligence, (WCCI '10), Barcelona, Spain, July 2010.
  57. P. Lieberman, Human Language and Our Reptilian Brain, Harvard University Press, Cambridge, Mass, USA, 2000.
  58. L. I. Perlovsky and R. Kozma, Eds., Neurodynamics of Higher-Level Cognition and Consciousness, Springer, Heidelberg, Germany, 2007.
  59. L. I. Perlovsky, “Computational concepts in classification: neural networks, statistical pattern recognition, and model-based vision,” Journal of Mathematical Imaging and Vision, vol. 4, no. 1, pp. 81–110, 1994. View at Publisher · View at Google Scholar · View at Scopus
  60. L. I. Perlovsky, “Physical concepts of intellect,” Proceedings of Russian Academy of Sciences, vol. 354, no. 3, pp. 320–323, 1997.
  61. L. I. Perlovsky, W. H. Schoendorf, B. J. Burdick, and D. M. Tye, “Model-based neural network for target detection in SAR images,” IEEE Transactions on Image Processing, vol. 6, no. 1, pp. 203–216, 1997. View at Scopus
  62. L. I. Perlovsky, C. P. Plum, P. R. Franchi, E. J. Tichovolsky, D. Choi, and B. Weijers, “Einsteinian neural network for spectrum estimation,” Neural Networks, vol. 10, no. 9, pp. 1541–1546, 1997. View at Publisher · View at Google Scholar · View at Scopus
  63. L. I. Perlovsky, “A model-based neural network for transient signal processing,” Neural Networks, vol. 7, no. 3, pp. 565–572, 1994. View at Scopus
  64. L. I. Perlovsky, V. H. Webb, S. R. Bradley, and C. A. Hansen, “Improved ROTHR detection and tracking using MLANS,” Radio Science, vol. 33, no. 4, pp. 1034–1044, 1998.
  65. L. I. Perlovsky, R. P. Coons, R. L. Streit, T. E. Luginbuhl, and S. Greineder, “Application of MLANS to signal classification,” Journal of Underwater Acoustics, vol. 44, no. 2, pp. 783–809, 1994.
  66. L. I. Perlovsky and J. V. Jaskolski, “Maximum likelihood adaptive neural controller,” Neural Networks, vol. 7, no. 4, pp. 671–680, 1994. View at Scopus
  67. L. I. Perlovsky, J. A. Chernick, and W. H. Schoendorf, “Multi-sensor ATR and identification of friend and foe using MLANS,” Neural Networks, vol. 8, no. 7-8, pp. 1185–1200, 1995. View at Publisher · View at Google Scholar · View at Scopus
  68. L. I. Perlovsky and R. W. Deming, “Neural networks for improved tracking,” IEEE Transactions on Neural Networks, vol. 18, no. 6, pp. 1854–1857, 2007. View at Publisher · View at Google Scholar · View at Scopus
  69. R. Deming, J. Schindler, and L. Perlovsky, “Multi-target/Multi-sensor tracking using only range and doppler measurements,” IEEE Transactions on Aerospace and Electronic Systems, vol. 45, no. 2, pp. 593–611, 2009. View at Publisher · View at Google Scholar · View at Scopus
  70. L. I. Perlovsky, “Integrating language and cognition,” IEEE Connections, vol. 2, no. 2, pp. 8–12, 2004.
  71. L. I. Perlovsky, “Cognitive high level information fusion,” Information Sciences, vol. 177, no. 10, pp. 2099–2118, 2007. View at Publisher · View at Google Scholar · View at Scopus
  72. L. I. Perlovsky, “Symbols: integrated cognition and language,” in Semiotics and Intelligent Systems Development, R. Gudwin and J. Queiroz., Eds., pp. 21–151, Idea Group, Hershey, Pa, USA, 2007.
  73. J. F. Fontanari, V. Tikhanoff, A. Cangelosi, R. Ilin, and L. I. Perlovsky, “Cross-situational learning of object—word mapping using Neural Modeling Fields,” Neural Networks, vol. 22, no. 5-6, pp. 579–585, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  74. L. I. Perlovsky, “Neural networks, fuzzy models and dynamic logic,” in Aspects of Automatic Text Analysis (Festschrift in Honor of Burghard Rieger), R. Köhler and A. Mehler, Eds., pp. 363–386, Springer, Heidelberg, Germany, 2007.
  75. V. Tikhanoff, J. F. Fontanari, A. Cangelosi, and L. I. Perlovsky, “Language and cognition integration through modeling field theory: category formation for symbol grounding,” in Book Series in Computer Science, vol. 4131, Springer, Heidelberg, Germany, 2006.
  76. J. F. Fontanari and L. I. Perlovsky, “Evolving compositionality in evolutionary language games,” IEEE Transactions on Evolutionary Computation, vol. 11, no. 6, pp. 758–769, 2007. View at Publisher · View at Google Scholar · View at Scopus
  77. J. F. Fontanari and L. I. Perlovsky, “How language can help discrimination in the Neural Modelling Fields framework,” Neural Networks, vol. 21, no. 2-3, pp. 250–256, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  78. J. F. Fontanari and L. I. Perlovsky, “A game theoretical approach to the evolution of structured communication codes,” Theory in Biosciences, vol. 127, no. 3, pp. 205–214, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  79. L. I. Perlovsky and R. Ilin, “Neurally and mathematically motivated architecture for language and thought. Special issue brain and language rrchitectures: where we are now?” The Open Neuroimaging Journal, vol. 4, pp. 70–80, 2010.
  80. L. I. Perlovsky, “Language and emotions: emotional Sapir-Whorf hypothesis,” Neural Networks, vol. 22, no. 5-6, pp. 518–526, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  81. L. Perlovsky, “Musical emotions: functions, origins, evolution,” Physics of Life Reviews, vol. 7, no. 1, pp. 2–27, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  82. L. I. Perlovsky, “LI. Music—The First Priciple,” Musical Theatre, 2006, http://www.ceo.spb.ru/libretto/kon_lan/ogl.shtml.
  83. L. I. Perlovsky, “Music and consciousness,” Leonardo, Journal of Arts, Sciences and Technology, vol. 41, no. 4, pp. 420–421, 2008.
  84. A. Tversky and D. Kahneman, “Judgment under uncertainty: heuristics and biases,” Science, vol. 185, no. 4157, pp. 1124–1131, 1974.
  85. M. A. Arbib, “From monkey-like action recognition to human language: An evolutionary framework for neurolinguistics,” Behavioral and Brain Sciences, vol. 28, no. 2, pp. 105–124, 2005. View at Publisher · View at Google Scholar
  86. A. Franklin, G. V. Drivonikou, L. Bevis, I. R. L. Davies, P. Kay, and T. Regier, “Categorical perception of color is lateralized to the right hemisphere in infants, but to the left hemisphere in adults,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 9, pp. 3221–3225, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  87. G. Rizzolatti, “The mirror neuron system and its function in humans,” Anatomy and Embryology, vol. 210, no. 5-6, pp. 419–421, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  88. G. Rizzolatti and M. A. Arbib, “Language within our grasp,” Trends in Neurosciences, vol. 21, no. 5, pp. 188–194, 1998. View at Publisher · View at Google Scholar · View at Scopus
  89. M. A. Arbib, “From monkey-like action recognition to human language: an evolutionary framework for neurolinguistics,” Behavioral and Brain Sciences, vol. 28, no. 2, pp. 105–124, 2005. View at Publisher · View at Google Scholar · View at Scopus
  90. W. von Humboldt, Über die Verschiedenheit des menschlichen Sprachbaues und ihren Einfluss auf die geistige Entwickelung des Menschengeschlechts, F. Dummler, Berlin, Germany, 1836–1967.
  91. W. P. Lehmann, Ed., A Reader in Nineteenth Century Historical Indo-European Linguistics, Indiana University Press, Bloomington, Ind, USA.
  92. S. Lerer, Inventing English, Columbia University Press, Chichester, NY, USA, 2007.
  93. D. G. Guttfreund, “Effects of language usage on the emotional experience of Spanish-English and English-Spanish bilinguals,” Journal of Consulting and Clinical Psychology, vol. 58, no. 5, pp. 604–607, 1990. View at Publisher · View at Google Scholar · View at Scopus
  94. C. L. Harris, A. Ayçiçegi, and J. B. Gleason, “Taboo words and reprimands elicit greater autonomic reactivity in a first language than in a second language,” Applied Psycholinguistics, vol. 24, no. 4, pp. 561–579, 2003. View at Publisher · View at Google Scholar · View at Scopus
  95. T. W. Deacon, The Symbolic Species: The Co-Evolution of Language and the Brain, Norton, New York, NY, USA, 1997.
  96. S. Mithen, “A creative explosion? Theory of mind, language, and the disembodied mind of the Upper Paleolithic,” in Creativity in Human Evolution and Prehistory, S. Mithen, Ed., pp. 165–191, Routledge, New York, NY, USA, 1998.
  97. L. I. Perlovsky, “Evolving agents: communication and cognition,” in Intelligent Systems: Agents and Data Mining, V. Gorodetsky, J. Liu, and V. A. Skormin, Eds., pp. 37–49, Springer, Heidelberg, Germany, 2005.