Interval timing predicts impulsivity in intertemporal choice: combined behavioral and drift-diffusion model evidence

References

• Assink, N., van der Lubbe, R. H., & Fox, J. P. (2015). Does time pressure induce tunnel vision? An examination with the Eriksen Flanker Task by applying the hierarchical drift diffusion model. In Y. Wang, P. Borne, & I. Rudas (Eds.), New developments in computational intelligence and computer science (pp. 30–40). Vienna: Proceedings of the International Conference on Applied Physics, Simulation and Computers.
   Google Scholar
• Audrain-McGovern, J., Rodriguez, D., Epstein, L., Cuevas, J., Rodgers, K., & Wileyto, E. (2009). Does delay discounting play an etiological role in smoking or is it a consequence of smoking? Drug and Alcohol Dependence, 103, 99–106. doi: 10.1016/j.drugalcdep.2008.12.019
   PubMed Web of Science ®Google Scholar
• Baudouin, A., Vanneste, S., Isingrini, M., & Pouthas, V. (2006). Differential involvement of internal clock and working memory in the production and reproduction of duration: A study on older adults. Acta Psychologica, 121(3), 285–296. doi: 10.1016/j.actpsy.2005.07.004
   PubMed Web of Science ®Google Scholar
• Baumann, A. A., & Odum, A. L. (2012). Impulsivity, risk taking, and timing. Behavioural Processes, 90(3), 408–414. doi: 10.1016/j.beproc.2012.04.005
   PubMed Web of Science ®Google Scholar
• Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300. http://www.jstor.org/stable/2346101
   Web of Science ®Google Scholar
• Benoit, R. G., Gilbert, S. J., & Burgess, P. W. (2011). A neural mechanism mediating the impact of episodic prospection on farsighted decisions. Journal of Neuroscience, 31(18), 6771–6779. doi: 10.1523/JNEUROSCI.6559-10.2011
   PubMed Web of Science ®Google Scholar
• Block, R. A., Zakay, D., & Hancock, P. A. (1998). Human aging and duration judgments: A meta-analytic review. Psychology and Aging, 13(4), 584–596. doi: 10.1037/0882-7974.13.4.584
   PubMed Web of Science ®Google Scholar
• Calluso, C., Committeri, G., Pezzulo, G., Lepora, N., & Tosoni, A. (2015). Analysis of hand kinematics reveals inter-individual differences in intertemporal decision dynamics. Experimental Brain Research, 233(12), 3597–3611. doi: 10.1007/s00221-015-4427-1
   PubMed Web of Science ®Google Scholar
• Caswell, A. J., Celio, M. A., Morgan, M. J., & Duka, T. (2016). Impulsivity as a multifaceted construct related to excessive drinking among UK students. Alcohol and Alcoholism, 51(1), 77–83. doi: 10.1093/alcalc/agv070
   PubMed Web of Science ®Google Scholar
• Corvi, A. P., Juergensen, J., Weaver, J. S., & Demaree, H. A. (2012). Subjective time perception and behavioral activation system strength predict delay of gratification ability. Motivation and Emotion, 36(4), 483–490. doi: 10.1007/s11031-011-9275-0
   Web of Science ®Google Scholar
• Dai, J., & Busemeyer, J. R. (2014). A probabilistic, dynamic, and attribute-wise model of intertemporal choice. Journal of Experimental Psychology: General, 143(4), 1489–1514. doi: 10.1037/a0035976
   PubMed Web of Science ®Google Scholar
• Dick, D. M., Smith, G., Olausson, P., Mitchell, S. H., Leeman, R. F., O’malley, S. S., & Sher, K. (2010). Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addiction Biology, 15(2), 217–226. doi: 10.1111/j.1369-1600.2009.00190.x
   PubMed Web of Science ®Google Scholar
• Dunovan, K. E., Tremel, J. J., & Wheeler, M. E. (2014). Prior probability and feature predictability interactively bias perceptual decisions. Neuropsychologia, 61, 210–221. doi: 10.1016/j.neuropsychologia.2014.06.024
   PubMed Web of Science ®Google Scholar
• Forstmann, B. U., Ratcliff, R., & Wagenmakers, E. J. (2016). Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions. Annual Review of Psychology, 67, 641–666. doi: 10.1146/annurev-psych-122414-033645
   PubMed Web of Science ®Google Scholar
• Gerbing, D. W., Ahadi, S. A., & Patton, J. H. (1987). Toward a conceptualization of impulsivity: Components across the behavioral and self-report domains. Multivariate Behavioral Research, 22(3), 357–379. doi: 10.1207/s15327906mbr2203_6
   PubMed Web of Science ®Google Scholar
• Gibbon, J. (1977). Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, 84(3), 279–325. doi: 10.1037/0033-295X.84.3.279
   Web of Science ®Google Scholar
• Glicksohn, J., & Hadad, Y. (2012). Sex differences in time production revisited. Journal of Individual Differences, 33, 35–42. doi: 10.1027/1614-0001/a000059
   Web of Science ®Google Scholar
• Hardisty, D. J., & Weber, E. U. (2009). Discounting future green: Money versus the environment. Journal of Experimental Psychology: General, 138(3), 329–340. doi: 10.1037/a0016433
   PubMed Web of Science ®Google Scholar
• Hare, T. A., Hakimi, S., & Rangel, A. (2014). Activity in dlPFC and its effective connectivity to vmPFC are associated with temporal discounting. Frontiers in Neuroscience, 8. doi: 10.3389/fnins.2014.00050
   PubMed Web of Science ®Google Scholar
• Hinton, S. C., Harrington, D. L., Binder, J. R., Durgerian, S., & Rao, S. M. (2004). Neural systems supporting timing and chronometric counting: An FMRI study. Cognitive Brain Research, 21(2), 183–192. doi: 10.1016/j.cogbrainres.2004.04.009
   PubMedGoogle Scholar
• Hinton, S. C., & Rao, S. M. (2004). “One-thousandone … one-thousandtwo … ”: chronometric counting violates the scalar property in interval timing. Psychonomic Bulletin & Review, 11(1), 24–30. doi: 10.3758/BF03206456
   PubMedGoogle Scholar
• Johnson, M. W., & Bickel, W. K. (2002). Within-subject comparison of real and hypothetical money rewards in delay discounting.. Journal of the Experimental Analysis of Behavior, 77(2), 129–146. doi: 10.1901/jeab.2002.77-129
   PubMed Web of Science ®Google Scholar
• Jones, L. A., Allely, C. S., & Wearden, J. H. (2011). Click trains and the rate of information processing: Does “speeding up” subjective time make other psychological processes run faster? Quarterly Journal of Experimental Psychology, 64(2), 363–380. doi: 10.1080/17470218.2010.502580
   Web of Science ®Google Scholar
• Kim, B. K., & Zauberman, G. (2009). Perception of anticipatory time in temporal discounting. Journal of Neuroscience, Psychology, and Economics, 2(2), 91–101. doi: 10.1037/a0017686
   Google Scholar
• Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128(1), 78–87. doi: 10.1037/0096-3445.128.1.78
   PubMed Web of Science ®Google Scholar
• Kirby, K. N., Winston, G. C., & Santiesteban, M. (2005). Impatience and grades: Delay-discount rates correlate negatively with college GPA. Learning and Individual Differences, 15(3), 213–222. doi: 10.1016/j.lindif.2005.01.003
   Web of Science ®Google Scholar
• Lane, S. D., Cherek, D. R., Rhoades, H. M., Pietras, C. J., & Tcheremissine, O. V. (2003). Relationships among laboratory and psychometric measures of impulsivity: Implications in substance abuse and dependence. Addictive Disorders & Their Treatment, 2(2), 33–40. doi:10.1097/00132576-200302020-00001
   Google Scholar
• Lempert, K. M., & Phelps, E. A. (2016). The malleability of intertemporal choice. Trends in Cognitive Sciences, 20(1), 64–74. doi: 10.1016/j.tics.2015.09.005
   PubMed Web of Science ®Google Scholar
• Lennings, C. J., & Burns, A. M. (1998). Time perspective: Temporal extension, time estimation, and impulsivity. The Journal of Psychology, 132(4), 367–380. doi: 10.1080/00223989809599271
   PubMed Web of Science ®Google Scholar
• Lindner, F., & Rose, J. (2017). No need for more time: Intertemporal allocation decisions under time pressure. Journal of Economic Psychology, 60, 53–70. doi: 10.1016/j.joep.2016.12.004
   Web of Science ®Google Scholar
• Madden, G. J., Begotka, A. M., Raiff, B. R., & Kastern, L. L. (2003). Delay discounting of real and hypothetical rewards. Experimental and Clinical Psychopharmacology, 11(2), 139–145. doi: 10.1037/1064-1297.11.2.139
   PubMed Web of Science ®Google Scholar
• Matell, M. S., & Meck, W. H. (2000). Neuropsychological mechanisms of interval timing behavior. Bioessays, 22(1), 94–103. doi:10.1002/(SICI)1521-1878(200001)22:1<94::AID-BIES14>3.0.CO;2-E
   PubMed Web of Science ®Google Scholar
• Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In M. L. Commons, J. E. Mazur, J. A. Nevin, & H. Rachlin (Eds.), Quantitative analyses of behavior, Vol. 5. The effect of delay and of intervening events on reinforcement value (pp. 55–73). Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Michmizos, K. P., & Krebs, H. I. (2014). Reaction time in ankle movements: A diffusion model analysis. Experimental Brain Research, 232(11), 3475–3488. doi: 10.1007/s00221-014-4032-8
   PubMed Web of Science ®Google Scholar
• Milosavljevic, M., Malmaud, J., Huth, A., Koch, C., & Rangel, A. (2010). The drift diffusion model can account for the accuracy and reaction time of value-based choices under high and low time pressure. SSRN Electronic Journal, 5(6), 437–449. doi: 10.2139/ssrn.1901533
   Google Scholar
• Mitchell, S. H. (1999). Measures of impulsivity in cigarette smokers and non-smokers. Psychopharmacology, 146(4), 455–464. doi: 10.1007/PL00005491
   PubMed Web of Science ®Google Scholar
• Odum, A. L. (2011). Delay discounting: I’m a k, you’re a k. Journal of the Experimental Analysis of Behavior, 96(3), 427–439. doi: 10.1901/jeab.2011.96-423
   PubMed Web of Science ®Google Scholar
• Patton, J. H., & Stanford, M. S. (1995). Factor structure of the Barratt impulsiveness scale. Journal of Clinical Psychology, 51(6), 768–774. doi:10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1
   PubMed Web of Science ®Google Scholar
• Penton-Voak, I. S., Edwards, H., Percival, A., & Wearden, J. H. (1996). Speeding up an internal clock in humans? Effects of click trains on subjective duration. Journal of Experimental Psychology: Animal Behavior Processes, 22(3), 307–320. doi: 10.1037/0097-7403.22.3.307
   PubMed Web of Science ®Google Scholar
• Petry, N. M., & Madden, G. J. (2010). Discounting and pathological gambling. In G. J. Madden, & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 273–294). Washington, DC: American Psychological Association. doi: 10.1037/12069-010
   Google Scholar
• Postle, B. R. (2015). Essentials of cognitive neuroscience. Chichester: Wiley.
   Google Scholar
• Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: Theory and data for two-choice decision tasks. Neural Computation, 20(4), 873–922. doi: 10.1162/neco.2008.12-06-420
   PubMed Web of Science ®Google Scholar
• Read, D., Frederick, S., Orsel, B., & Rahman, J. (2005). Four score and seven years from now: The date/delay effect in temporal discounting. Management Science, 51(9), 1326–1335. doi: 10.1287/mnsc.1050.0412
   Web of Science ®Google Scholar
• Reynolds, B., Ortengren, A., Richards, J. B., & de Wit, H. (2006). Dimensions of impulsive behavior: Personality and behavioral measures. Personality and Individual Differences, 40(2), 305–315. doi: 10.1016/j.paid.2005.03.024
   Web of Science ®Google Scholar
• Reynolds, B., Richards, J. B., Horn, K., & Karraker, K. (2004). Delay discounting and probability discounting as related to cigarette smoking status in adults. Behavioural Processes, 65(1), 35–42. doi: 10.1016/S0376-6357(03)00109-8
   PubMed Web of Science ®Google Scholar
• Rodriguez, C. A., Turner, B. M., & McClure, S. M. (2014). Intertemporal choice as discounted value accumulation. PloS one, 9(2), e90138. doi: 10.1371/journal.pone.0090138
   PubMed Web of Science ®Google Scholar
• Rodriguez, C. A., Turner, B. M., Van Zandt, T., & McClure, S. M. (2015). The neural basis of value accumulation in intertemporal choice. European Journal of Neuroscience, 42(5), 2179–2189. doi: 10.1111/ejn.12997
   PubMed Web of Science ®Google Scholar
• Scherbaum, S., Dshemuchadse, M., & Goschke, T. (2012). Building a bridge into the future: Dynamic connectionist modeling as an integrative tool for research on intertemporal choice. Frontiers in Psychology, 3, 514. doi: 10.3389/fpsyg.2012.00514
   PubMed Web of Science ®Google Scholar
• Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89(6), 845–851. doi: 10.1037/0022-3514.89.6.845
   PubMed Web of Science ®Google Scholar
• Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(4), 583–639. doi:10.1111/1467-9868.00353
   Web of Science ®Google Scholar
• Stanford, M. S., & Barratt, E. S. (1996). Verbal skills, finger tapping, and cognitive tempo define a second-order factor of temporal information processing. Brain and Cognition, 31(1), 35–45. doi: 10.1006/brcg.1996.0023
   PubMed Web of Science ®Google Scholar
• Treisman, M. (1963). Temporal discrimination and the indifference interval: Implications for a model of the “internal clock”.. Psychological Monographs: General and Applied, 77(13), 1–31. doi: 10.1037/h0093864
   PubMedGoogle Scholar
• Tsai, Y. Y., & Yeh, S. L. (2014). Low temporal precision for high impulsive individuals. Personality and Individual Differences, 70, 92–96. doi: 10.1016/j.paid.2014.06.044
   Web of Science ®Google Scholar
• Van den Broek, M. D., Bradshaw, C. M., & Szabadi, E. (1992). Performance of impulsive and non-impulsive subjects on two temporal differentiation tasks. Personality and Individual Differences, 13(2), 169–174. doi: 10.1016/0191-8869(92)90039-R
   Web of Science ®Google Scholar
• Vincent, B. T. (2016). Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks. Behavior Research Methods, 48(4), 1608–1620. doi: 10.3758/s13428-015-0672-2
   PubMed Web of Science ®Google Scholar
• Voss, A., Nagler, M., & Lerche, V. (2013). Diffusion models in experimental psychology. Experimental Psychology, 60, 385–402. doi: 10.1027/1618-3169/a000218
   PubMed Web of Science ®Google Scholar
• Wearden, J. (2005). Origins and development of internal clock theories of psychological time. Psychologie Française, 50(1), 7–25. doi:10.1016/j.psfr.2004.10.002
   Google Scholar
• Wearden, J. H., & Jones, L. A. (2007). Is the growth of subjective time in humans a linear or nonlinear function of real time? Quarterly Journal of Experimental Psychology, 60(9), 1289–1302. doi: 10.1080/17470210600971576
   Web of Science ®Google Scholar
• Wearden, J. H., Philpott, K., & Win, T. (1999). Speeding up and (… relatively …) slowing down an internal clock in humans. Behavioural Processes, 46(1), 63–73. doi: 10.1016/S0376-6357(99)00004-2
   PubMed Web of Science ®Google Scholar
• Wiecki, T. V., Sofer, I., & Frank, M. J. (2013). HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python. Frontiers in Neuroinformatics, 7, 14. doi: 10.3389/fninf.2013.00014
   PubMed Web of Science ®Google Scholar
• Wittmann, M., & Paulus, M. P. (2008). Decision making, impulsivity and time perception. Trends in Cognitive Sciences, 12(1), 7–12. doi: 10.1016/j.tics.2007.10.004
   PubMed Web of Science ®Google Scholar
• Zauberman, G., & Kim, B. K. (2014). Another dimension of psychological time: Judgments of anticipated future duration. Euresis Journal, 7, 61–68. Retrieved from https://web.archive.org/web/20160422005145/http://www.euresisjournal.org/public/issue/pdf/777EuresisJournal-issue7.pdf
   Google Scholar