Ongoing behavior predicts perceptual report of interval duration

Frontiers in Neurorobotics

Volumn 8, Issue MAR, 2014, Pages

  Gouvêa, Thiago S ^a   Monteiro, Tiago ^a   Soares, Sofia ^a   Atallah, Bassam V ^a   Paton, Joseph J ^a  

^a CHAMPALIMAUD CENTRE FOR THE UNKNOWN   (Portugal)

Author keywords

Choice probability; Decision making; Embodied cognition; Interval timing; Perceptual decision making; Time perception

Indexed keywords

ADAPTIVE BEHAVIOR; ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ARTICLE; CAMERA; CLASSIFICATION; CONDITIONING; CONTROLLED STUDY; DECISION MAKING; MOUSE; NONHUMAN; RAT; REINFORCEMENT; TIME PERCEPTION;

EID: 84904858499     PISSN: None     EISSN: 16625218     Source Type: Journal    
DOI: 10.3389/fnbot.2014.00010     Document Type: Article

References (43)

1. Adler, A., Katabi, S., Finkes, I., Israel, Z., Prut, Y., and Bergman, H. (2012). Temporal convergence of dynamic cell assemblies in the striato-pallidal network. J. Neurosci. 32, 2473-2484. doi: 10.1523/JNEUROSCI.4830-11.2012
2. Anderson, M. C., and Shettleworth, S. J. (1977). Behavioral adaptation to fixed-interval and fixed-time food delivery in golden hamsters. J. Exp. Anal. Behav. 27, 33-49. doi: 10.1901/jeab.1977.27-33
3. Balci, F., Papachristos, E., Gallistel, C., Brunner, D., Gibson, J., and Shumyatsky, G. (2008). Interval timing in genetically modified mice: a simple paradigm. Genes Brain Behav. 7, 373-384. doi: 10.1111/j.1601-183X.2007.00348.x
4. Balsam, P. D., and Gallistel, C. R. (2009). Temporal maps and informativeness in associative learning. Trends Neurosci. 32, 73-78. doi: 10.1016/j.tins.2008.10.004
5. Bateson, M. (2003). "Interval timing and optimal foraging," in Functional and Neural Mechanisms of Interval Timing, ed M. H. Warren (Boca Raton, FL: CRC Press), 113-141.
6. Britten, K. H., Newsome, W. T., Shadlen, M. N., Celebrini, S., and Movshon, J. A. (1996). A relationship between behavioral choice and the visual responses of neurons in macaque MT. Vis. Neurosci. 13, 87-100. doi: 10.1017/S095252380000715X
7. Buonomano, D. V., and Merzenich, M. M. (1995). Temporal information transformed into a spatial code by a neural network with realistic properties. Science 267, 1028-1028. doi: 10.1126/science.7863330
8. Fiorillo, C. D., Tobler, P. N., and Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science 299, 1898-1902. doi: 10.1126/science.1077349
9. Fuster, J. M. (2001). The prefrontal cortex-an update: time is of the essence. Neuron 30, 319-333. doi: 10.1016/S0896-6273(01)00285-9
10. Gibbon, J. (1977). Scalar expectancy theory and Weber's law in animal timing. Psychol. Rev. 84, 279-325. doi: 10.1037/0033-295X.84.3.279
11. Green, D. M., and Swets, J. A. (1966). Signal Detection Theory and Psychophysics, Vol. 1. New York, NY: Wiley.
12. Grossberg, S., and Schmajuk, N. A. (1989). Neural dynamics of adaptive timing and temporal discrimination during associative learning. Neural Netw. 2, 79-102. doi: 10.1016/0893-6080(89)90026-9
13. Haight, P. A., and Killeen, P. R. (1991). Adjunctive behavior in multiple schedules of reinforcement. Anim. Learn. Behav. 19, 257-263. doi: 10.3758/BF03197884
14. Hodos, W., Ross, G. S., and Brady, J. V. (1962). Complex response patterns during temporally spaced responding. J. Exp. Anal. Behav. 5, 473-479. doi: 10.1901/jeab.1962.5-473
15. Ivry, R. B., and Keele, S. W. (1989). Timing functions of the cerebellum. J. Cogn. Neurosci. 1, 136-152. doi: 10.1162/jocn.1989.1.2.136
16. Ivry, R. B., and Spencer, R. (2004). The neural representation of time. Curr. Opin. Neurobiol. 14, 225-232. doi: 10.1016/j.conb.2004.03.013
17. Janssen, P., and Shadlen, M. N. (2005). A representation of the hazard rate of elapsed time in macaque area lip. Nat. Neurosci. 8, 234-241. doi: 10.1038/nn1386
18. Jin, D. Z., Fujii, N., and Graybiel, A. M. (2009). Neural representation of time in cortico-basal ganglia circuits. Proc. Natl. Acad. Sci. U.S.A. 106, 19156-19161. doi: 10.1073/pnas.0909881106
19. Kacelnik, A., and Brunner, D. (2002). Timing and foraging: Gibbon's scalar expectancy theory and optimal patch exploitation. Learn. Motiv. 33, 177-195. doi: 10.1006/lmot.2001.1110
20. Killeen, P. R., and Fetterman, J. G. (1988). A behavioral theory of timing. Psychol. Rev. 95, 274-295. doi: 10.1037/0033-295X.95.2.274
21. Kim, J., Ghim, J.-W., Lee, J. H., and Jung, M. W. (2013). Neural correlates of interval timing in rodent prefrontal cortex. J. Neurosci. 33, 13834-13847. doi: 10.1523/JNEUROSCI.1443-13.2013
22. Lau, B., and Glimcher, P. W. (2005). Dynamic response-by-response models of matching behavior in rhesus monkeys. J. Exp. Anal. Behav. 84, 555-579. doi: 10.1901/jeab.2005.110-04
23. Ludvig, E. A., Sutton, R. S., and Kehoe, E. J. (2008). Stimulus representation and the timing of reward-prediction errors in models of the dopamine system. Neural Comput. 20, 3034-3054. doi: 10.1162/neco.2008.11-07-654
24. Machado, A. (1997). Learning the temporal dynamics of behavior. Psychol. Rev. 104, 241-265. doi: 10.1037/0033-295X.104.2.241
25. Machado, A., and Keen, R. (2003). Temporal discrimination in a long operant chamber. Behav. Process. 62, 157-182. doi: 10.1016/S0376-6357(03)00023-8
26. Maricq, A. V., and Church, R. M. (1983). The differential effects of haloperidol and methamphetamine on time estimation in the rat. Psychopharmacology 79, 10-15. doi: 10.1007/BF00433008
27. Matell, M. S., and Meck, W. H. (2000). Neuropsychological mechanisms of interval timing behavior. Bioessays 22, 94-103. doi: 10.1002/(SICI)1521-1878(200001)22:1<94::AID-BIES14>3.0.CO;2-E
28. Matell, M. S., and Meck, W. H. (2004). Cortico-striatal circuits and interval timing: coincidence detection of oscillatory processes. Cogn. Brain Res. 21, 139-170. doi: 10.1016/j.cogbrainres.2004.06.012
29. Meck, W. H., Penney, T. B., and Pouthas, V. (2008). Cortico-striatal representation of time in animals and humans. Curr. Opin. Neurobiol. 18, 145-152. doi: 10.1016/j.conb.2008.08.002
30. Miall, C. (1989). The storage of time intervals using oscillating neurons. Neural Comput. 1, 359-371. doi: 10.1162/neco.1989.1.3.359
31. Nienborg, H.,R. Cohen, M., and Cumming, B. G. (2012). Decision-related activity in sensory neurons: correlations among neurons and with behavior. Annu. Rev. Neurosci. 35, 463-483. doi: 10.1146/annurev-neuro-062111-150403
32. Ölveczky, B. P. (2011). Motoring ahead with rodents. Curr. Opin. Neurobiol. 21, 571-578. doi: 10.1016/j.conb.2011.05.002
33. Selen, L. P., Shadlen, M. N., and Wolpert, D. M. (2012). Deliberation in the motor system: reflex gains track evolving evidence leading to a decision. J. Neurosci. 32, 2276-2286. doi: 10.1523/JNEUROSCI.5273-11.2012
34. Shinomoto, S., Omi, T., Mita, A., Mushiake, H., Shima, K., Matsuzaka, Y., et al. (2011). Deciphering elapsed time and predicting action timing from neuronal population signals. Front. Comput. Neurosci. 5:29. doi: 10.3389/fncom.2011.00029
35. Simen, P., Balci, F., de Souza, L., Cohen, J. D., and Holmes, P. (2011). A model of interval timing by neural integration. J. Neurosci. 31, 9238-9253. doi: 10.1523/JNEUROSCI.3121-10.2011
36. Skinner, B. F. (1948). "Superstition" in the pigeon. J. Exp. Psychol. 38, 168-172. doi: 10.1037/h0055873
37. Staddon, J. E. R. (1977). "Schedule induced behavior," in Handbook of Operant Behaviour, eds W. K. Honig and J. E. R. Staddon (Englewood Cliffs, NJ: Prentice Hall), 125-152.
38. Staddon, J. E. R., and Simmelhag, V. L. (1971). The "supersitition" experiment: a reexamination of its implications for the principles of adaptive behavior. Psychol. Rev. 78, 3-43.
39. Sugrue, L. P., Corrado, G. S., and Newsome, W. T. (2004). Matching behavior and the representation of value in the parietal cortex. Science 304, 1782-1787. doi: 10.1126/science.1094765
40. Suri, R. E., and Schultz, W. (1999). A neural network model with dopamine-like reinforcement signal that learns a spatial delayed response task. Neuroscience 91, 871-890. doi: 10.1016/S0306-4522(98)00697-6
41. Vogels, T. P., Rajan, K., and Abbott, L. (2005). Neural network dynamics. Annu. Rev. Neurosci. 28, 357-376. doi: 10.1146/annurev.neuro.28.061604.135637
42. Wilkinson, G., and Rogers, C. (1973). Symbolic description of factorial models for analysis of variance. Appl. Stat. 22, 392-399. doi: 10.2307/2346786
43. Wittmann, M. (2013). The inner sense of time: how the brain creates a representation of duration. Nat. Rev. Neurosci. 14, 217-223. doi: 10.1038/nrn3452