Animal Cognition

, Volume 16, Issue 4, pp 611–625 | Cite as

Implicit chaining in cotton-top tamarins (Saguinus oedipus) with elements equated for probability of reinforcement

  • Charles Locurto
  • Laura Dillon
  • Meaghan Collins
  • Maura Conway
  • Kate Cunningham
Original Paper

Abstract

Three experiments examined the implicit learning of sequences under conditions in which the elements comprising a sequence were equated in terms of reinforcement probability. In Experiment 1 cotton-top tamarins (Saguinus oedipus) experienced a five-element sequence displayed serially on a touch screen in which reinforcement probability was equated across elements at .16 per element. Tamarins demonstrated learning of this sequence with higher latencies during a random test as compared to baseline sequence training. In Experiments 2 and 3, manipulations of the procedure used in the first experiment were undertaken to rule out a confound owing to the fact that the elements in Experiment 1 bore different temporal relations to the intertrial interval (ITI), an inhibitory period. The results of Experiments 2 and 3 indicated that the implicit learning observed in Experiment 1 was not due to temporal proximity between some elements and the inhibitory ITI. The results taken together support two conclusion: First that tamarins engaged in sequence learning whether or not there was contingent reinforcement for learning the sequence, and second that this learning was not due to subtle differences in associative strength between the elements of the sequence.

Keywords

Implicit learning Chaining Cotton-top tamarins Finite state grammar 

Notes

Acknowledgments

This work was supported by NIH grant R15RR031220.

References

  1. Bailey TM, Pothos EM (2008) AGL StimSelect: software for automated selection of stimuli for artificial grammar learning. Behav Res Methods 40:164–176PubMedCrossRefGoogle Scholar
  2. Blaisdell AP, Leising KJ, Stahlman W, Waldmann MR (2009) Rats distinguish between absence of events and lack of information in sensory preconditioning. Int J Comp Psychol 22:1–18Google Scholar
  3. Blough D (1993) Effects on search speed of the probability of target-distracter combinations. J Exp Psychol Anim B 19:231–243CrossRefGoogle Scholar
  4. Bond AB, Kamil AC, Balda RP (2003) Social complexity and transitive inference in corvids. Anim Behav 65:479–487CrossRefGoogle Scholar
  5. Chomsky N (1957) Syntactic structures. Mouton, The Hague/ParisGoogle Scholar
  6. Christie MA, Dalrymple-Alford JC (2004) A new rat model of the human serial reaction time task: contrasting effects of Caudate and Hippocampal lesions. J Neurosci 24:1034–1039PubMedCrossRefGoogle Scholar
  7. Christie MA, Hersch SM (2004) Demonstration of nondeclarative sequence learning in mice: development of an animal analog of the human serial reaction time task. Learn Memory 11:720–723CrossRefGoogle Scholar
  8. Clegg BA, DiGirolamo GJ, Keele SW (1998) Sequence learning. Trends Cogn Sci 2:275–281PubMedCrossRefGoogle Scholar
  9. Conway CM, Christiansen MH (2001) Sequential learning in non-human primates. Trends Cogn Sci 5:539–546PubMedCrossRefGoogle Scholar
  10. D’Amato MR (1991) Comparative cognition: processing of serial order and serial pattern. In: Dachowski L, Flarherty CF (eds) Current topics in animal learning: brain, emotion and cognition. Erlbaum, Hillsdale, pp 165–185Google Scholar
  11. Davis H (1992) Transitive inference in rats (Rattus norvegicus). J Comp Psychol 106:342–349PubMedCrossRefGoogle Scholar
  12. Deroost N, Soetens E (2006) Perceptual or motor learning in SRT tasks with complex sequence structures. Psychol Res 70:88–102PubMedCrossRefGoogle Scholar
  13. Domenger D, Schwarting RKW (2004) Sequential behavior in the rat: a new model using food-reinforced instrumental behavior. Behav Brain Res 160:197–207CrossRefGoogle Scholar
  14. Emlen ST (1975) The stellar-orientation system of a migratory bird. Sci Am 233:102–111PubMedCrossRefGoogle Scholar
  15. Espinet A, González F, Balleine BW (2004) Inhibitory sensory preconditioning. Q J Exp Psychol B 57:261–272PubMedCrossRefGoogle Scholar
  16. Fantino E, Abarca N (1985) Choice, optimal foraging, and the delay-reduction hypothesis. Behav Brain Sci 8:315–330CrossRefGoogle Scholar
  17. Fantino E, Preston RA, Dunn R (1993) Delay reduction: current status. J Exp Anal Behav 60:159–169PubMedCrossRefGoogle Scholar
  18. Fitch WT, Hauser MD (2004) Computational constraints on syntactic processing in a nonhuman primate. Science 303:377–380PubMedCrossRefGoogle Scholar
  19. Froehlich AL, Herbranson WT, Loper JD, Wood DM, Shimp CP (2004) Anticipating by pigeons depends on local statistical information in a serial response time task. J Exp Psychol Gen 133:31–45PubMedCrossRefGoogle Scholar
  20. Gallistel CR, Gibbon J (2000) Time, rate, and conditioning. Psychol Rev 107:289–344PubMedCrossRefGoogle Scholar
  21. Gentner TQ, Fenn KM, Margoliash D, Nusbaum HC (2006) Recursive syntactic pattern learning by songbirds. Nature 440:1204–1207PubMedCrossRefGoogle Scholar
  22. Gibbon J (1977) Scalar expectancy theory and Weber’s law in animal timing. Psychol Rev 84:279–325CrossRefGoogle Scholar
  23. Goschke T (1998) Implicit learning of perceptual and motor sequences: evidence for independent learning systems. In: Stadler MA, Frensch PA (eds) Handbook of implicit learning. Sage, Thousand Oaks, pp 401–444Google Scholar
  24. Hauser M, Newport E, Aslin R (2001) Segmentation of the speech stream in a non-human primate: statistical learning in cotton-top tamarins. Cognition 78:B53–B64PubMedCrossRefGoogle Scholar
  25. Herbranson WT, Shimp CP (2003) Artificial grammar learning in pigeons: a preliminary analysis. Learn Behav 31:98–106PubMedCrossRefGoogle Scholar
  26. Herbranson WT, Shimp CP (2008) Artificial grammar learning in pigeons. Learn Behav 36:116–137PubMedCrossRefGoogle Scholar
  27. Herbranson WT, Stanton GL (2011) Flexible serial response learning by pigeons (Columba livia) and humans (Homo sapiens). J Comp Psychol 125:328–340PubMedCrossRefGoogle Scholar
  28. Kenny DT (1953) Testing of differences between variances based on correlated variates. Can J Psychol 7:25–28PubMedCrossRefGoogle Scholar
  29. Locurto C (2005) Further evidence that mice learn a win-shift but not a win-stay contingency under water-escape motivation. J Comp Psychol 119:387–393PubMedCrossRefGoogle Scholar
  30. Locurto C, Gagne M, Levesque K (2009) Implicit chaining in cotton top tamarins (Saguinus oedipus). J Exp Psychol Anim B 35:116–122CrossRefGoogle Scholar
  31. Locurto C, Gagne M, Nutile L (2010) Characteristics of implicit chaining in cotton-top tamarins (Saguinus oedipus). Anim Cogn 13:617–629PubMedCrossRefGoogle Scholar
  32. Merritt DJ, Terrace HS (2011) Mechanisms of inferential order judgments in humans (Homo sapiens) and rhesus monkeys (Macaca mulatta). J Comp Psychol 125:227–238PubMedCrossRefGoogle Scholar
  33. Merritt D, Maclean EL, Jaffe S, Brannon EM (2007) A comparative analysis of serial ordering in Ring-Tailed Lemurs (Lemur catta). J Comp Psychol 121:363–371PubMedCrossRefGoogle Scholar
  34. Nissen MJ, Bullemer P (1987) Attentional requirements of learning: evidence from performance measures. Cogn Psychol 19:1–32CrossRefGoogle Scholar
  35. Pearce JM, Hall G (1980) A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychol Rev 87:532–552PubMedCrossRefGoogle Scholar
  36. Petkov CI, Erich DJ (2012) Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates. Front Evol Neurosci 4:12PubMedCrossRefGoogle Scholar
  37. Procyk E, Dominey PF, Amiez C, Joseph JP (2000) The effects of sequence structure and reward schedule on serial reaction time learning in the monkey. Cogn Brain Res 9:239–248CrossRefGoogle Scholar
  38. Rapp PR, Kansky MT, Eichenbaum H (1996) Learning and memory for hierarchical relationships in the monkey: effects of aging. Behav Neurosci 110:887–897PubMedCrossRefGoogle Scholar
  39. Reber AS (1967) Implicit learning of artificial grammars. J Verb Learn Verb Behav 6:855–863CrossRefGoogle Scholar
  40. Reber AS (1996) Implicit learning and tacit knowledge: an essay on the cognitive unconscious. Oxford University Press, New YorkCrossRefGoogle Scholar
  41. Remillard G (2003) Pure perceptual-based sequence learning. J Exp Psychol Learn Memory Cogn 29:581–597CrossRefGoogle Scholar
  42. Rescorla RA, Wagner AR (1972) A theory of pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement. In: Black AH, Prokasy WF (eds) Classical conditioning II: current research and theory. Appleton Century Crofts, New York, pp 64–99Google Scholar
  43. Sawa K, Leising KJ, Blaisdell AP (2005) Sensory preconditioning in spatial learning using a touch screen task in pigeons. J Exper Psychol Anim B 31:368–375CrossRefGoogle Scholar
  44. Scarf D, Colombo M (2008) Representation of serial order: a comparative analysis of humans, monkeys, and pigeons. Brain Res Bull 76:307–312PubMedCrossRefGoogle Scholar
  45. Seger CA (1994) Implicit learning. Psychol Bull 115:163–196PubMedCrossRefGoogle Scholar
  46. Soetens E, Melis A, Notebaert W (2004) Sequential effects and sequence learning. Psychol Res 10:124–137CrossRefGoogle Scholar
  47. Spence KW (1960) Behavior theory and learning. Prentice-Hall, Englewood CliffsGoogle Scholar
  48. Staddon J, Higa J, Chelaru I (1999) Time, trace, memory. J Exp Anal Behav 71:293–330PubMedCrossRefGoogle Scholar
  49. Terrace HS (1993) The phylogeny and ontogeny of serial memory: list learning by pigeons and monkeys. Psychol Sci 4:162–169CrossRefGoogle Scholar
  50. Terrace H (2005) The simultaneous chain: a new approach to serial learning. Trends Cogn Sci 9:202–210PubMedCrossRefGoogle Scholar
  51. Terrace HS, McGonigle B (1994) Memory and representation of serial order by children, monkeys, and pigeons. Curr DirI Psychol Sci 3:180–189CrossRefGoogle Scholar
  52. Tolman EC (1948) Cognitive maps in rats and men. Psychol Rev 55:189–208PubMedCrossRefGoogle Scholar
  53. van Tilborg IA, Hulstijn W (2010) Implicit motor learning in patients with Parkinson’s and Alzheimer’s disease: differences in learning abilities? Mot Control 14:344–361Google Scholar
  54. von Fersen L, Wynne CD, Delius JD, Staddon JE (1991) Transitive inference formation in pigeons. J Exper Psychol Anim B 17:334–341CrossRefGoogle Scholar
  55. Yamazaki Y, Suzuki K, Inada M, Iriki A, Okanoya K (2012) Sequential learning and rule abstraction in Bengalese finches. Anim Cogn 15:369–377PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Charles Locurto
    • 1
  • Laura Dillon
    • 1
  • Meaghan Collins
    • 1
  • Maura Conway
    • 1
  • Kate Cunningham
    • 1
  1. 1.Department of PsychologyCollege of the Holy CrossWorcesterUSA

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