Global model analysis of cognitive variability

Cognitive Science

Volumn 33, Issue 8, 2009, Pages 1441-1467

  Gilden, David L ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

1 f hook noise; Bayesian model selection; Cognitive variability; Memory

Indexed keywords

EID: 77953164913     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1551-6709.2009.01060.x     Document Type: Article

References (57)

1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B.N. Petrox & F. Caski (Eds.), Second international symposium on information theory (p. 267). Budapest: Akademiai Kiado.
2. Allan, L.G. (1979). The perception of time. Perception & Psychophysics, 26, 340-354.
3. Bak, P. (1996). How nature works. New York: Springer-Verlag.
4. Bassingthwaighte, J.B., Liebovitch, L., & West, B.J. (1994). Fractal physiology. Oxford, England: Oxford University Press.
5. Beltz, B.B., & Kello, C.T. (2006). On the intrinsic fluctuations of human behavior. In M. Vanchevsky (Ed.), Focus on cognitive psychology research (pp. 25-41). Hauppauge, NY: Nova Science Publishers.
6. Box, G.E.P., Jenkins, G.M., & Reinsel, G.C. (1994). Time Series analysis: Forecasting and control. Hoboken, NJ: John Wiley & sons.
7. Browne, M.W. (2000). Cross-validation methods. Journal of Mathematical Psychology, 44, 108-132.
8. Busemeyer, J.R., & Wang, Y.-M. (2000). Model comparisons and model selection based on generalization criterion methodology. Journal of Mathematical Psychology, 44, 171-189.
9. De Los Rios, P., & Zhang, Y.-C. (1999). Universal 1/f noise from dissipative self-organized criticality models. Physical Review Letters, 82, 472-475.
10. Farrell, S., Wagenmakers, E.-J., & Ratcliff, R. (2006). 1/f{hook} noise in human cognition: Is it ubiquitous, and what does it mean? Psychonomic Bulletin & Review, 13, 737-741.
11. Fetterman, J.G., & Killeen, P.R. (1990). A componential analysis of pacemaker-counter timing systems. Journal of Experimental Psychology: Human Perception and Performance, 16, 766-780.
12. Fraedrich, K., Luksch, U., & Blender, R. (2004). 1/f{hook} model for long-time memory of the ocean surface temperature. Physical Review E, 70, 037301.
13. Gardner, M. (1978). White and brown music, fractal curves and one-over-f fluctuations. Scientific American, 238(April), 16-31.
14. Gelman, A., Carlin, J.B., Stern, H.S., & Rubin, D.B. (2004). Bayesian data analysis, 2nd ed. (pp. 61-66). Boca Raton, FL: Chapman and Hall.
15. Gibbon, J., Church, R.M., & Meck, W. (1984). Scalar timing in memory. In J. Gibbon & L. Allan (Eds.), Annals of the New York Academy of Sciences, 423: Timing and time perception (pp. 52-77). New York: New York Academy of Sciences.
16. Gilden, D.L. (1997). Fluctuations in the time required for elementary decisions. Psychological Science, 8, 296-301.
17. Gilden, D.L. (2001). Cognitive emissions of 1/f{hook} noise. Psychological Review, 108, 33-56.
18. Gilden, D.L., & Gray, S.A. (1995). On the nature of streaks in signal detection. Cognitive Psychology, 28, 1-16.
19. Gilden, D.L., & Hancock, H. (2007). Response variability in attention deficit disorders. Psychological Science, 18, 796-802.
20. Gilden, D. L, & Marusich, L.R. (2009). Contraction of time in attention-deficit hyperactivity disorder. Neuropsychology, 23, 265-269.
21. Gilden, D.L., Thornton, T., & Mallon, M. (1995). 1/f{hook} noise in human cognition. Science, 267, 1837-1839.
22. Grondin, S. (1993). Duration discrimination of empty and filled intervals marked by auditory and visual signals. Perception & Psychophysics, 54, 383-394.
23. Halley, J.M., & Inchausti, P. (2004). The increasing importance of 1/f-noises in models of ecological variability. Fluctuation and Noise Letters, 4, R1-R26.
24. Hochreiter, S., & Schmidhuber, J. (1997). Flat minima. Neural Computation, 9, 1-42.
25. Kass, R.E., & Raftery, A.E. (1995). Bayes factors. Journal of the American Statistical Association, 90, 773-795.
26. Kello, C.T., Beltz, B.C., Holden, J.G., & Van Orden, G.C. (2007). The emergent coordination of cognitive function. Journal of Experimental Psychology: General, 136, 551-568.
27. Kobayashi, M., & Musha, T. (1982). 1/f fluctuation of heartbeat period. IEEE Transactions of Biomedical Engineering, 29, 456-457.
28. Lemoine, L., Torre, K., & Delignieres, D. (2006). Testing for the presence of 1/f noise in continuation tapping data. Canadian Journal of Experimental Psychology, 60, 247-257.
29. Luce, D. (1986). Response times: Their role in inferring elementary mental organization (Oxford psychology series). New York: Oxford University Press.
30. Madison, G. (2001). Variability in isochronous tapping: Higher order dependencies as a function of intertap interval. Journal of Experimental Psychology: Human Perception and Performance, 27, 411-422.
31. Maljkovic, V., & Nakayama, K. (1994). Priming of pop-out: I. Role of features. Memory and Cognition, 22, 657-672.
32. Mandelbrot, B.B. (1997). Fractals and scaling in finance. New York: Springer.
33. Mosier, C.I. (1951). Problems and designs of cross-validation. Educational and Psychological Measurement, 11, 5-11.
34. Myung, I.J. (2000). The importance of complexity in model selection. Journal of Mathematical Psychology, 44, 190-204.
35. Myung, I.J., & Pitt, M.A. (1997). Applying Occam's razor in modeling cognition: A Bayesian approach. Psychonomic Bulletin & Review, 4, 79-95.
36. Navarro, D.J., Pitt, M.A., & Myung, I.J. (2004). Assessing the distinguishability of models and the informativeness of data. Cognitive Psychology, 49, 47-84.
37. Norris, P.R., Stein, P.K., Cao, H., & Morris, J.J. Jr (2006). Heart rate multiscale entropy reflects reduced complexity and mortality in 285 patients with trauma. Journal of Critical Care, 21, 343.
38. Pagano, M. (1974). Estimation of models of autoregressive signal plus white noise. Annals of Statistics, 2, 99-108.
39. Press, W.H. (1978). Flicker noises in astronomy and elsewhere. Comments in Astrophysics, 7, 103-119.
40. Press, W.H., Teukolsky, S.A., Vetterling, W.T., & Flannery, B.P. (1992). Numerical recipes. New York: Cambridge University Press.
41. Richman, J.S., & Moorman, J.R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology Heart and Circulatory Physiology, 278, 2039-2049.
42. Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107, 358-367.
43. Schroeder, M. (1992). Fractals, chaos, power laws: Minutes from an infinite paradise. New York: W.H. Freeman.
44. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society Series B, 36, 111-147.
45. Sugihara, G., & May, M.M. (1990). Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature, 344, 734-741.
46. Thornton, T.L., & Gilden, D.L. (2005). Provenance of correlations in psychological data. Psychonomic Bulletin and Review, 12, 409-441.
47. Thornton, T.L., & Gilden, D.L. (2007). Parallel and serial processes in visual search. Psychological Review, 114, 71-103.
48. Van Orden, G.C., Holden, J.G., & Turvey, M.T. (2003). Self-organization of cognitive performance. Journal of Experimental Psychology: General, 132(3), 331-350.
49. Van Orden, G.C., Holden, J.G., & Turvey, M.T. (2005). Human cognition and 1/f{hook} scaling. Journal of Experimental Psychology: General, 134(1), 117-123.
50. Vickers, D., & Lee, M.D. (1998). Dynamic models of simple judgments: I. Properties of a self-regulating accumulator model. Nonlinear Dynamics, Psychology, and Life Sciences, 2, 169-194.
51. Voss, R.F., & Clarke, J. (1975). "1/f noise" in music and speech. Nature, 258, 317-318.
52. a noise in human cognition. Psychonomic Bulletin & Review, 11(4), 579-615.
53. Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & Iverson, G.J. (2004). Assessing model mimicry using the parametric bootstrap. Journal of Mathematical Psychology, 48, 28-50.
54. Wearden, J.H. (1991). Do humans possess an internal clock with scalar-timing? Learning and Motivation, 22, 59-83.
55. West, B.J., & Shlesinger, M.F. (1989). On the ubiquity of 1/f noise. International Journal of Modern Physics B, 3(6), 795-819.
56. Wing, A.M. (1980). The long and short of timing in response sequences. In G.E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior (pp. 469-486). Amsterdam: North Holland.
57. Wing, A.M., & Kristofferson, A.B. (1973). Response delays and the timing of discrete motor responses. Perception & Psychophysics, 14, 5-12.