Computational Cognition Lab in JAIST

TO BE UPDATED: My reference notes relevant to my research topics

Development †

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Language development †

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Novel word generalization †

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Verb and body parts †

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Vocabulary growth †

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Development of semantic networks †

  1. Word associations from preschool children collected by the continued sentence associations metho
  2. P Macizo Soria, CJ Gómez-Ariza, MT Bajo Molina - Psicológica (2000). Associative norms of 58 Spanish words for children from 8 to 13 years old (abstract)
  3. Eugene A. Lovelace and Susan Cooley(1982). Free Associations of Older Adults to Single Words and Conceptually Related Word Triads., Journal of Gerontol, 37 (4): 432-437. (abstract)
  4. Walter W. Surwillo (1973) Word-Association Latency in Normal Children During Development and the Relation of Brain Electrical Activity., Psychophysiology, Volume 10, Issue 2, pages 154–165, March 1973. (abstract)
  5. Arlene A. Tan and Dennis L. Molfese. (2009). ERP correlates of noun and verb processing in preschool-age children., Biological Psychology Volume 80, Issue 1, January 2009, Pages 46-51. (abstract)
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Development of "number" concepts †

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Learning in social context †

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Learning in social interaction †

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Theory of social learning (imitation) †

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Developmental studies †

  1. Tanya L. Chartrand and Rick van Baaren (2009). Human Mimicry., Advances in Experimental Social Psychology Volume 41, 2009, Pages 219-274. (abstract)
  2. Barbara A. Morrongiello, , Kimberley D. Fenwick and Graham Chance (1998). Crossmodal learning in newborn infants: Inferences about properties of auditory-visual events., Infant Behavior and Development Volume 21, Issue 4, 1998, Pages 543-553. (abstract)
  3. Mark Nielsen & Cheryl Dissanayake (2003). A longitudinal study of immediate, deferred, and synchronic imitation through the second year., The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour, 1 (4). (pdf)
  4. Moshe Anisfeld. (1991). Neonatal imitation, Developmental Review, Volume 11, Issue 1, March 1991, Pages 60-97, ISSN 0273-2297, DOI: 10.1016/0273-2297(91)90003-7. pdf
  5. Ferrari PF, Visalberghi E, Paukner A, Fogassi L, Ruggiero A, et al. 2006 Neonatal Imitation in Rhesus Macaques. PLoS Biol 4(9): e302. doi:10.1371/journal.pbio.0040302. (pdf)
  6. Mikael Heimann (1989). Neonatal imitation, gaze aversion, and mother-infant interaction. Infant Behavior and Development, 12,4, 495-505. (abstract)
  7. ブランバーク, M.S.(2006).　本能はどこまで本能か．早川書房
  8. Jones, S. S. (2009). The development of imitation in infancy., Philos Trans R Soc Lond B Biol Sci. 2009 August 27; 364(1528): 2325–2335.(abstract)
  9. Jones, S. S. (2007). Imitation in Infancy The Development of Mimicry., vol. 18 no. 7 593-599. (abstract)
  10. Jones, S.S. (1996). Imitation or exploration? Young infants' matching of adults' oral gestures. Child Development, 67, 1952- 1969.(the other blog on this paper)
  11. Horner, V., & Whiten, A. (2005). Causal knowledge and imitation/emulation switching in chimpanzees (Pan troglodytes) and children (Homo sapiens). Animal. Cognition, 8, 164–181.
  12. Lhermitte, F. (1983). Utilization behavior and its relation to lesions of the frontal lobes. Brain, 106, 237–255.
  13. Lyons,D.E., Young,A.G. & Keil, F.C. (2007). The hidden structure of overimitation. PNAS, 104, 19751-19756
  14. Nielsen M & Tomaselli (2010) Overimitation in Kalahari Bushman children and the origins of human cultural cognition. Psychological Science, 21,729-736. (the other blog on this paper)
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Neuroscience †

  1. R. Bernier, G. Dawson, S. Webb, and M. Murias. (2007). EEG Mu Rhythm and Imitation Impairments in Individuals with Autism Spectrum Disorder.,Brain Cogn., 64(3), pp. 228-237.(abstract) (external link)
  2. Jennifer H. Pfeifera, Marco Iacobonia, John C. Mazziottaa, and Mirella Dapretto (2008) Mirroring others' emotions relates to empathy and interpersonal competence in children., NeuroImage?. Volume 39, Issue 4, 15 February 2008, Pages 2076-2085.(abstract)
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Imitation in robots & models †

  1. Y. Yoshikawa; M. Asada; K. Hosodaab; J. Koga (2003). A constructivist approach to infants' vowel acquisition through mother-infant interaction., Connection Science, Volume 15, Issue 4 December 2003 , pages 245 - 258 (abstract)
  2. Max Lungarella; Giorgio Metta; Rolf Pfeifer; Giulio Sandini (2003). Developmental robotics: a survey Connection Science, Volume 15, Issue 4 December 2003 , pages 151 - 190 (abstract)
  3. Asada, M., Hosoda, K., Kuniyoshi, Y., Ishiguro, H., Inui, T., Yoshikawa, Y., Ogino, M., Yoshida, C., (2009). Cognitive Developmental Robotics: A Survey., Autonomous Mental Development, IEEE Transactions on 1 (1), 12 - 34. (abstract)
  4. 岡田昌史， 中村仁彦 (2000).力学的情報処理による連続的記号空間の設計と全身運動の生成., 日本ロボット学会誌. (pdf)
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Development understood through looking †

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Eyetracking? †

  1. Benjamin W. Tatler, Roland J. Baddeley, Benjamin T. Vincent (2006). The long and the short of it: Spatial statistics at Wxation vary with saccade amplitude and task., Vision Research, 46, 1857–1862. (pdf)
  2. U. P. Mosimann, J. Felblinger, P. Ballinari, C. W. Hess and R. M. MuÈri (2004). Visual exploration behaviour during clock reading in Alzheimer's disease., Brain, 127, 431-438. (URL)
  3. A Carbone (2010). Learning Saliency: An ICA based model using Bernoulli mixtures. (pdf)
  4. Andrea Carbone and Fiora Pirri. Analysis of the local statistics at the centre of fixation during visual scene exploration. IARP International Workshop on Robotics for risky interventions and Environmental Surveillance, RISE 2010, Sheffield (UK) (pdf).
  5. Dorr, Martinetz, Gegenfurtner, & Barth (2010). Variability of eye movements when viewing dynamic natural scenes., Journal of Vision (2010) 10(10):28, 1–17. (pdf)
  6. Santella and DeCarlo?. Robust clustering of eye movement recordings for quantification of visual interest. Proceedings of the 2004 symposium on Eye tracking research & applications (2004) vol. 22 pp. 27–34.
  7. Chevalier, Blaye, Dufau, & Lucenet (2010) What Visual Information Do Children and Adults Consider While Switching Between Tasks? Eye-Tracking Investigation of Cognitive Flexibility Development. Developmental Psychology, 46, 955-972. (other blog on this paper)
  8. Rehder, B. & Hoffman, A.B. (2005). Eyetracking and selective attention in category learning. Cognitive Psychology, 51, 1-41. (pdf)
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Machine Learning/ Data Mining †

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Statistics †

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Bayesian statistics †

  1. PETER J. GREEN (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination., Biometrika,Biometrika, 82, 4, 711-732. (URL) (pdf)
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Statistical learning (machine learning) †

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Fast mapping as learning of meta-knowledge †

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Nonlinear time series analysis †

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Symbolic dynamic analysis †

  1. Matthew B. Kennel and Michael Buhl (2003). Estimating Good Discrete Partitions from Observed Data: Symbolic False Nearest Neighbors, Phys. Rev. Lett. 91, 084102 (URL)
  2. Michael Buhl and Matthew B. Kennel(2005). Statistically relaxing to generating partitions for observed time-series data., Phys. Rev. E 71, 046213. (URL)
  3. Ruslan L. Davidchack, Ying-Cheng Lai, Erik M. Bollt, and Mukeshwar Dhamala (2000). Estimating generating partitions of chaotic systems by unstable periodic orbits., Phys. Rev. E 61, 1353–1356 (URL)
  4. Yoshito Hirata, Kevin Judd, and Devin Kilminster (2004). Estimating a generating partition from observed time series: Symbolic shadowing. Phys. Rev. E 70, 016215 (URL)
  5. Bollt, E. M. (2003). Review of chaos communication by feedback control of symbolic dynamics., EM International Journal of Bifurcation and Chaos., Vol. 13, No. 2 269-285. (pdf)
  6. Jérôme Plumecoq and Marc Lefranc (2000). From template analysis to generating partitions: I: Periodic orbits, knots and symbolic encodings., Physica D: Nonlinear Phenomena, Volume 144, Issues 3-4, Pages 231-258. (URL)
  7. Jérôme Plumecoq and Marc Lefranc (2000). From template analysis to generating partitions: II: Periodic orbits, knots and symbolic encodings., Physica D: Nonlinear Phenomena, Volume 144, Issues 3-4, Pages 259-278. (URL)
  8. Freddy Christiansen, Antonio Politi (1995). A generating partition for the standard map., Physical Review E, 51, 5, R3811-R3814. (pdf)
  9. Freddy Christiansen and Antonio Politi (1997). Guidelines for the construction of a generating partition in the standard map., Physica D: Nonlinear Phenomena, Volume 109, Issues 1-2, Pages 32-41. (URL)
  10. P Grassberger et al. (1989). On the symbolic dynamics of the Henon map., J. Phys. A: Math. Gen., 22, 5217. (URL)(pdf)
  11. 水谷正大, (1991). 記号力学系入門, 経営情報科学 (pdf)
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Information theory †

  1. Erik Bollt and Ying-Cheng Lai (1998). Dynamics of coding in communicating with chaos., Phys. Rev. E 58, 1724–1736. (URL)(pdf)
  2. Christoph Bandt and Bernd Pompe (2002). Permutation Entropy: A Natural Complexity Measure for Time Series., Phys. Rev. Lett. 88, 174102. (URL)
  3. Ralf Steuer , Lutz Molgedey , Werner Ebeling , Miguel A. Jimenez-Montaño , Miguel A. Jimenez-monta~no (2001). Entropy and optimal Partition for Data Analysis., Physical Journal B. URL
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Human behaviors as dynamical systems †

  1. Tijana Ivancevic, Lakhmi Jain, John Pattison and Alex Hariz (2009). Nonlinear dynamics and chaos methods in neurodynamics and complex data analysis., NONLINEAR DYNAMICS, Volume 56, Numbers 1-2, 23-44. (URL)
  2. 谷淳 (2005). 認知力学系とロボティクス, 岩波講座 ロボット学.(pdf)
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Network analysis (complex networks) †

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Neuroscience †

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Brain imaging †

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Brain Imaging Users in JAIST (JAIST-domain users only) †

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Brain Imaging Reading Group (Members Only) †

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