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. Timothy T. Rogers & James L. McClelland? (2005). Semantic Cognition: A Parallel Distributed Processing Approach. [URL] [PDF]
  2. Sandy Petrey (1977) Word associations and the development of lexical memory., Cognition, Volume 5, Issue 1, Pages 57-71. (URL)
  3. Anglin, Jeremy M. (1970). The Growth of Word Meaning., The MIT Press. (abstract)
  4. Roger Brown and Jean Berko (1960). Word Association and the Acquisition of Grammar., Child Development Vol. 31, No. 1 (Mar., 1960), pp. 1-14(pdf)
  5. Tulving () Epsodic and Semantic Memory. (pdf)
  6. Annick F. Mansfield (1977) Semantic organization in the young child: Evidence for the development of semantic feature systems, Journal of Experimental Child Psychology Volume 23, Issue 1, Pages 57-77. (URL)
  7. GAIL MCKOON and ROGER RATCLIFF (1995). Conceptual combinations and relational contexts in free association and in priming in lexical decision and naming., Psychonomic Bulletin & Review, 2 (4), 527-533.(pdf)
  8. Fred Busch (1994). IMPLICATIONS FOR TECHNIQUE SOME AMBIGUITIES IN THE METHOD OF FREE ASSOCIATION AND THEIR IMPLICATIONS FOR TECHNIQUE., Journal of American Psychoanalysis Association., 42, 363. (URL)
  9. Nelson DL, McEvoy? CL, Dennis S. (2000). What is free association and what does it measure?, Memory & Cognit. 28(6),887-99. (URL)
  10. Martyn D. Barrett (1978). Lexical development and overextension in child language, Journal of Child Language, 5, 205-219. (URL)
  11. Word associations from preschool children collected by the continued sentence associations method
  12. 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)
  13. 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)
  14. 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)
  15. 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 †

  1. Tomacello (1986). Joint Attention and Early Language Michael Tomasello and Michael Jeffrey Farrar Child Development Vol. 57, No. 6 (Dec., 1986), pp. 1454-1463.(pdf)
  2. Tony Charman (2003) Why is joint attention a pivotal skill in autism? Phil. Trans. R. Soc. Lond. B 2003 358, 315-324. (abstract)
  3. Katarzyna Chawarska, Ami Klin, Fred Volkmar (2003). Automatic Attention Cueing Through Eye Movement in 2-Year-Old Children With Autism., Child Development, Volume 74, Issue 4, pages 1108–1122, July 2003 (abstract)
  4. Simon Baron-Cohen, Sally Wheelwright, Jacqueline Hill, Yogini Raste and Ian Plumb. (1997). The “Reading the Mind in the Eyes” Test Revised Version: A Study with Normal Adults, and Adults with Asperger Syndrome or High-functioning Autism., Journal of Child Psychology and Psychiatry, 42: 241-251. (abstract)
  5. Simon Baron-Cohen (2008). Social intelligence in the normal and autistic brain: an fMRI study. (abstract)
  1. Simon Baron-Cohen (1995). Mind Blindness: An Essay on Autism and Theory of Mind Cambridge: MIT Press. (abstract)
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Theory of social learning (imitation) †

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Reviews †

  1. Hayes, C. (2001). Causes and consequences of imitation, Trends in Cognitive Sciences, Volume 5, Issue 6, 1 June 2001, Pages 253-261. [[(URL): http://www.sciencedirect.com/science/article/pii/S1364661300016612]]
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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)
  15. Synchrony and swing in conversation:coordination, temporal dynamics,and communication Daniel C. Richardson, Rick Dale, and Kevin Shockley (2008). Synchrony and swing in conversation: coordination, temporal dynamics, and communication.(pdf)
  16. Shockley, K., Santana, M. V., & Fowler, C. A. (2003). Mutual interpersonal postural constraints are involved in cooperative conversation, Journal of Experimental Psychology: Human Perception and Performance, 29 (2), 326-333. (pdf)
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Embodied cognition †

  1. Margaret Wilson, Six Views of Embodied Cognition (web): http://philosophy.wisc.edu/shapiro/PHIL951/951articles/wilson.htm
  2. Thelen & Smith (1998) Dynamic Systems Theories URL
  3. G. Taga, Y. Yamaguchi, and H. Shimizu, "Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment" Biological Cybernetics, vol. 65, pp.147-159 (1991). (pdf)
  4. CPG(web)
  1. Robotics Toolbox (Matlab) (pdf)
  2. Robotics terminology (Japanese/English) (web)
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Biological Motion †

  1. Randolph Blake and Maggie Shiffrar (2007) Perception of Human Motion, Annual Review of Psychology, Vol. 58: 47-73. (URL)
  2. Emily D. Grossman, Randolph Blake, Chai-Youn Kim (2004), Learning to See Biological Motion: Brain Activity Parallels Behavior, Journal of Cognitive Neuroscience, Vol. 16, No. 9, Pages 1669-1679. (pdf): http://www.mitpressjournals.org/doi/abs/10.1162/0898929042568569
  3. Jan P. H. van Santen and George Sperling, "Temporal covariance model of human motion perception," J. Opt. Soc. Am. A 1, 451-473 (1984) (URL)
  4. Joachim Lange and Markus Lappe (2006), A Model of Biological Motion Perception from Configural Form Cues, The Journal of Neuroscience, March 15, 2006, 26(11):2894-2906; (URL)
  5. Johansson (1973)http://robotics.usc.edu/~maja/teaching/cs584/papers/Johansson_Visual_Perception.pdf
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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. Stefan Schaal, Auke Ijspeert and Aude Billard (2003) Computational approaches to motor learning by imitation (URL)
  2. 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)
  3. 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)
  4. 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)
  5. 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. A. T. Duchowski (2002). A breadth-first survey of eye-tracking applications., Behavior Research Methods, Volume 34, Number 4, 455-470. (pdf)
  2. 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)
  3. 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)
  4. A Carbone (2010). Learning Saliency: An ICA based model using Bernoulli mixtures. (pdf)
  5. 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).
  6. Dorr, Martinetz, Gegenfurtner, & Barth (2010). Variability of eye movements when viewing dynamic natural scenes., Journal of Vision (2010) 10(10):28, 1–17. (pdf)
  7. 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.
  8. 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)
  9. Rehder, B. & Hoffman, A.B. (2005). Eyetracking and selective attention in category learning. Cognitive Psychology, 51, 1-41. (pdf)
  10. Rayner (1998)(pdf)http://wexler.free.fr/library/files/rayner%20(1998)%20eye%20movements%20in%20reading%20and%20information%20processing.%2020%20years%20of%20research.pdf
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Machine Learning/ Data Mining †

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Statistics †

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Bayesian statistics †

  1. M Sato (2001) Online Model Selection Based on the Variational Bayes (pdf)
  2. O Yamashita (2008)Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. (pdf)
  3. Ting, J.-A., et al. Variational Bayesian least squares: An application to brain–machine interface data. Neural Networks (2008) (pdf)
  4. Jim Pitman and Marc Yor (1997). The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator., Ann. Probab. Volume 25, Number 2 (1997), 855-900. (abstract and open-access paper)
  5. YW Teh (2006). A hierarchical Bayesian language model based on Pitman-Yor processes., Proceedings of the 21st International Conference on, 2006 abstract)
  6. related topics on google scholar
  1. PETER J. GREEN (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination., Biometrika,Biometrika, 82, 4, 711-732. (URL) (pdf)
  2. 下平英寿, ベイズ的方法における の利用 (Tutorial)
  1. nonparametric Bayes tutorial
  2. nonparametric Bayes tutorial2(URL) (blog)
  3. 上田 修功 (2009)ノンパラメトリックベイズモデル-パターン認識応用の視点で解説, CVIM/PRMU研究会 (pdf)
  4. Yee Whye TEH (2006) A Bayesian Interpretation of Interpolated Kneser-Ney. (pdf)
  5. Jim Pitman. Combinatorial Stochastic Processes . Berlin: Springer-Verlag, 2006. (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. Lingyue Cao. (1995). Practical method for determining the minimum embedding dimension of a scalar time series. Physica D, Vol. 110, pp. 225-238.
  4. 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)
  5. Yoshito Hirata, Kevin Judd, and Devin Kilminster (2004). Estimating a generating partition from observed time series: Symbolic shadowing. Phys. Rev. E 70, 016215 (URL)
  6. 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)
  7. 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)
  8. 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)
  9. Freddy Christiansen, Antonio Politi (1995). A generating partition for the standard map., Physical Review E, 51, 5, R3811-R3814. (pdf)
  10. 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)
  11. P Grassberger et al. (1989). On the symbolic dynamics of the Henon map., J. Phys. A: Math. Gen., 22, 5217. (URL)(pdf)
  12. 水谷正大, (1991). 記号力学系入門, 経営情報科学 (pdf)
  13. 石井 豊, 力学系入門(pdf)
  14. Michael T. Rosenstein, a, James J. Collinsa and Carlo J. De Luca (1993), A practical method for calculating largest Lyapunov exponents from small data sets., Physica D: Nonlinear Phenomena, Volume 65, Issues 1-2, 15 May 1993, Pages 117-134 (abstract)
  15. Prichard, D. & Theiler, J. (1994) Generating surrogate data for time series with several simultaneously measured variables. Physical Review Letters, 1994. (pdf)
  16. J. P. Crutchfield and N. H. Packard (1982)., Symbolic dynamics of one-dimensional maps: Entropies, finite precision, and noise., INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, Volume 21, Numbers 6-7, 433-466 (URL)
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Time series mining †

  1. Jessica Lin, Eamonn Keogh, Li Wei and Stefano Lonardi. (2007). Experiencing SAX: a novel symbolic representation of time series. DATA MINING AND KNOWLEDGE DISCOVERY Volume 15, Number 2, 107-144 (pdf): http://www.springerlink.com/content/g69808822l82t325/.
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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
  4. H. Marko, “The Bidirectional Communication Theory-A Generalization of Information Theory,” IEEE Trans. On Communications, Vol. COM-21, No. 12, pp. 1345-1351, December 1973.
  5. J. L. Massey, “Causality, Feedback and Directed Information,” in Proc. of the Intl. Symp. On Information Theory and Its Applications, Waikiki, Hawaii, November 27-30, 1990.
  6. T. Schreiber, “Measuring Information Transfer,” Physical Review Letters, Vol. 85, No. 2, pp. 461-464, July 10, 2000.
  7. B. Gourevitch and J. J. Eggermont, “Evaluating Information Transfer Between Auditory Cortical Neurons,” Journal of Neurophysiology, Vol. 97, pp.2533-2543, 2007.
  8. I. Nemenman, W. Bialek and R. de Ruyter van Stevenick, “Entropy and information in neural spike trains: Progress on the Sampling problem”, Physical Review E. 69, 056111, 2004.
  9. Lizier, J., Prokopenko, M., & Zomaya, A. (2008). Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77(026110). (pdf)
  10. Williams, P.W., & Beer, R. D. (2010). Information dynamics of evolved agents. In Proc. 11th int’l. conf. on simulation of adaptive behavior (pp. 38–49). Paris, France.
  11. Williams, P.W., & Beer, R. D. (2011) Generalized Measures of Information Transfer (pdf)
  12. Williams, P.W., & Beer, R. D. (2010) (pdf)
  13. Complexity (URL)
  14. Yun Gao Ioannis Kontoyiannis and Elie Bienenstock (2008) Estimating the Entropy of Binary Time Series: Methodology, Some Theory and a Simulation Study, Entropy, 10, 71-99.(pdf)
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Lecture notes on information theory †

  1. Chia-Ping Chen, Notes on information theory.(pdf)
  2. Natasha Devroye (2009), Lecture notes.(pdf)
  3. Tetsuo Asano and Tad matsumoto (2009).(pdf)
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Smoothing on N-gram counts †

  1. S.F. Chen & J. Goodman (1999). An empirical study of smoothing techniques for language modeling, Computer Speech and Language, 1999 (pdf)
  2. Yee Whye Teh (2006). A hierarchical Bayesian language model based on Pitman-Yor processes., In Proceeding ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics(pdf)
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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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Neuro imaging †

  1. Kutas, M., & Federmeier, K.D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Science.
  2. Antoine Bechara, Hanna Damasio, and Antonio R. Damasio Emotion, Decision Making and the Orbitofrontal Cortex Cereb. Cortex (2000) 10(3): 295-307 (pdf)
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Neural Synchrony †

  1. Greg J. Stephensa, Lauren J. Silbertc, and Uri Hassonc (2010). Speaker–listener neural coupling underlies successful communication, PNAS, URL
  2. Lungarella M, Sporns O (2006) Mapping Information Flow in Sensorimotor Networks. PLoS Comput Biol 2(10): e144. doi:10.1371/journal.pcbi.0020144. (URL)
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ERP (N400) †

  1. Marta Kutas and Kara D. Federmeier(2000). Language comprehension and the N400, Trends in Cognitive Sciences – Vol.4, No.12, 463-470.[PDF]
  2. Sarfarazi M, Cave B, Richardson A, Behan J, Sedgwick EM (1999). Visual event related potentials modulated by contextually relevant and irrelevant olfactory primes. CHEMICAL SENSES, vol. 24, No. 2, 145-154. [URL] [PDF]
  3. 沖田庸嵩, 治部哲也(1995). 注意理論への事象関連脳電位（ERP）アプローチ: N400を用いた分析. 北海道大學教育學部紀要 = THE ANNUAL REPORTS ON EDUCATIONAL SCIENCE. No. 67, 13-38.[PDF]
  4. 入戸野 宏(2009)事象関連電位入門(pdf)
  5. 関東神経生理検査技術研究会, ビギナーのためのERP(事象関連電位)入門(web material)
  6. 前川敏彦, 飛松省三 (2006). 事象関連電位とミスマッチ陰性電位(pdf)
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NIRS †

  1. Isao Nambu, Rieko Osu, Masa-aki Sato, Soichi Ando, Mitsuo Kawatoa, and Eiichi Naito, (2009)., Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS), NeuroImage?, 47, 2, 628-637. URL
  2. Miho Suzuki, Jiro Gyoba and Yuiko Sakuta (2005). Multichannel NIRS analysis of brain activity during semantic differential rating of drawing stimuli containing different affective polarities, Neuroscience Letters, 375, 53-58. URL
  3. 福田 正人 (2009). 精神疾患とNIRS―光トポグラフィー検査による脳機能イメージング. (amazon)
  4. Roberto Cabeza and Alan Kingstone (2001). Handbook of Functional Neuroimaging of Cognition. (URL)
  5. Tsuzuki, D., Jurcak, V., Singh, A. K., Okamoto, M., Watanabe, E. and Dan, I. Virtual spatial registration of stand-alone functional NIRS data to MNI space. NeuroImage? 34, 1506-1518 (2007)(URL)
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Others †

  1. [PDF] Cortical specialization for music in preverbal infants tamu.edu EE Fava - 2008 - txspace.tamu.edu
  2. Devarajan Sridharan Daniel J. Levitin, Chris H. Chafe, Jonathan Berger & Vinod Menon (2007). Neural Dynamics of Event Segmentation in Music: Converging Evidence for Dissociable Ventral and Dorsal Networks, Neuron, 55, 3, 521-532. (URL) [PDF]
  3. Jamshed Bharucha, Carol L. Krumhansl (1983) The representation of harmonic structure in music: Hierarchies of stability as a function of context (URL)
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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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Utilities †

  1. Wolfram Online Integrator
  2. Exchange Rate Service
  3. Public datasets for biological motions
  4. Sparse Estimation Library (web)
  5. OpenCV(jp)
  6. The global program
  7. Whether Underground
  8. MacArthur-Bates Communicative Development Inventories
  9. Non-English adaptation of CDI
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Conferences †

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Generic †

  1. CallForPapers
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2011 †

  1. CogSci2011
  2. ICDL2011
  3. MathPsych (deadline of submission Monday, April 18th, 2011)
  4. ICCN (Apr. 20, 2011: Final Abstract and Manuscript Submission)
  5. [[NIPS 2011: http://nips.cc/Conferences/2011/CallForPapers]] (deadline of submission: June 2, 2011 16:59 PDT)
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In Japan †

  1. JCSS2011
  2. 第22回発達心理学会 (2011年3月25日(金)、26日(土)、27日(日), 会　場: 東京学芸大学　小金井キャンパス)
  3. 日本心理学会　第75回大会
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