General Slowing or Decreased Inhibition? Mathematical Models of Age Differences in Cognitive Functioning

Journals of Gerontology - Series B Psychological Sciences and Social Sciences

Volumn 59, Issue 3, 2004, Pages

  Chow, Sy Miin ^a   Nesselroade, John R ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; AGING; ARTICLE; ARTIFICIAL NEURAL NETWORK; COGNITION; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; INFORMATION PROCESSING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; POPULATION DYNAMICS; PREDATION; PRIORITY JOURNAL; TASK PERFORMANCE; TIME;

EID: 2342620745     PISSN: 10795014     EISSN: None     Source Type: Journal    
DOI: 10.1093/geronb/59.3.P101     Document Type: Article

References (40)

1. Allen, P. A., Kaufman, M., Smith, A. F., & Propper, R. E. (1998a). Age differences in entropy: Primary versus secondary memory. Experimental Aging Research, 24, 307-336.
2. Allen, P. A., Kaufman, M., Smith, A. F., & Propper, R. E. (1998b). A molar entropy model of age differences in spatial memory. Psychology and Aging, 13, 501-518.
3. Baker, C. T. H., Bocharov, G. A., & Rihan, F. A. (1999). A report on the use of delay differential equations in numerical modelling in the biosciences (Numerical analysis report). Manchester, England: University of Manchester, Department of Mathematics.
4. Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. B. Baltes & M. M. Baltes (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 1-34). Cambridge, England: Cambridge University Press.
5. Cerella, J. (1990). Aging and information-processing rate. In J. E. Birren & K. W. Schaie (Eds.), Handbook of the psychology of aging (3rd ed., pp. 201-221). New York: Academic Press.
6. Chen, L., Lu, Z., & Wang, W. (1995). The effect of delays on the permanence for Lotka-Volterra systems. Applied Mathematical Letters, 8, 71-73.
7. Chow, S., Nesselroade, J. R., & Hamagami, F. (2003). Age differences in dynamical coupling between emotion and cognition. Unpublished manuscript, Department of Psychology, University of Virginia, Charlottesville.
8. Coleman, J. S. (1968). The mathematical study of change. In J. H. M. Blaylock & A. Blaylock (Eds.), Methodology in social research (pp. 428-478). New York: McGraw-Hill.
9. Elsmore, T. F. (1994). SYNWORK1: A PC-based tool for the assessment of performance in a simulated work environment. Behavioral Research Methods, Instruments & Computers, 26, 421-426.
10. Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension and aging: A Review and new view. The Psychology of Learning and Motivation, 30, 193-225.
11. Heath, R. A. (2000). Nonlinear dynamics: Techniques and applications in psychology. Mahwah, NJ: Erlbaum.
12. Heathcote, A., Brown, S., & Mewhort, D. J. K. (2000). The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin & Review, 7, 185-207.
13. Hedden, T., & Park, D. (2001). Aging and interference in verbal working memory.
14. Kane, M. J., Hasher, L., Stoltzfus, E. R., Zacks, R. T., & Connelly, S. L. (1994). Inhibitory attentional mechanisms and aging. Psychology and Aging, 9, 103-112.
15. Kaplan, D., & Glass, L. (1995). Understanding nonlinear dynamics. New York: Springer-Verlag.
16. Kenny, D. A., & Judd, M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin, 96, 201-210.
17. Langley, L., Overmier, J., Knopman, D., & Prod'Homme, M. (1998). Inhibition and habituation: Preserved mechanisms of attentional selection in aging and Alzheimer's disease. Neuropsychology, 12, 353-366.
18. Li, K. Z. H., Lindenberger, U., Freund, A. M., & Baltes, P. B. (2001). Walking while memorizing: Age-related differences in compensatory behavior. Psychological Science, 12, 230-237.
19. Little, D. M., & Hartley, A. A. (2000). Further evidence that negative priming in the Stroop color-word task is equivalent in older and younger adults. Psychology and Aging, 15, 9-17.
20. Lotka, A. J. (1925). Elements of physical biology. Baltimore: Williams and Wilkins.
21. Mackey, M. C., & Glass, L. (1977, July). Oscillation and chaos in physiological control systems. Science, 197, 287-289.
22. May, R. (1974). Stability and complexity in model ecosystems. Princeton, NJ: Princeton University Press.
23. McArdle, J. J., & Ghisletta, P. (2000). The future of latent variable modeling with interactions and nonlinearity. Contemporary Psychology, APA Review of Books, 45, 91-95.
24. McDowd, J. M., & Oseas-Kreger, D. M. (1991). Aging, inhibitory processes, and Negative priming. Journal of Gerontology: Psychological Sciences, 46, P340-P345.
25. McDowd, J. M., & Shaw, R. J. (2000). Attention and aging: A functional perspective. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (2nd ed., pp. 221-292). Mahwah, NJ: Erlbaum.
26. Molenaar, P. C. M., & Raymakers, M. E. J. (1998). Fitting nonlinear dynamical models directly to observed time series. In K. M. Newell & P. C. M. Molenaar (Eds.), Applications of nonlinear dynamics to developmental process modeling (pp. 269-297). Mahwah, NJ: Erlbaum.
27. Myerson, J., Hale, S., Rhee, S. H., & Jenkins, L. (1999). Selective interference with verbal and spatial working memory in young and older adults. Journal of Gerontology: Psychological Sciences, 54B, P161-P164.
28. Myerson, J., Hale, S., Wagstaff, D., Poon, L. W., & Smith, G. A. (1990). The information-loss model: A mathematical theory of age-related cognitive slowing. Psychological Review, 97, 475-487.
29. Nisbet, R., & Gurnet, W. (1982). Modelling fluctuating populations. Chichester, England: Wiley.
30. Pearce, C. (1970). A new deterministic model for the interaction between predator and prey. Biometrics, 26, 387-392.
31. Rumelhart, D. E., & McClelland, J. L., & the PDP Research Group. (1986). Parallel distributed processing: Explorations in the microstructure of cognition (Vols. 1-2). Cambridge, MA: MIT Press.
32. Salthouse, T. A. (1996a). Constraints on theories of cognitive aging. Psychonomic Bulletin & Review, 3, 287-299.
33. Salthouse, T. A. (1996b). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403-428.
34. Salthouse, T. A., Hambrick, D. Z., Lukas, K. E., & Dell, T. C. (1996). Determinants of adult age differences on synthetic work performance. Journal of Experimental Psychology: Applied, 2 (4), 305-329.
35. Salthouse, T. A., & Meinz, E. J. (1993). Aging, inhibition, working memory and speed. Journal of Gerontology: Psychological Sciences, 50, P297-P306.
36. Schumacker, R. E., & Marcoulides, G. A. (Eds.). (1998). Interaction and nonlinear effects in structural equation modeling. Mahway, NJ: Erlbaum.
37. Shampine, L. F., & Thompson, S. (2000). Solving DDEs in MATLAB. Unpublished manuscript, Mathematics Department, Southern Methodist University, Dallas, TX.
38. Singer, H. (1990). Problems with the estimation of stochastic differential equation using structural equations models. Journal of Mathematical Sociology, 16, 201-220.
39. Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, England: MIT Press.
40. Van Geert, P. (1991). A dynamic systems model of cognitive and language growth. Psychological Review, 98, 3-53.