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Associative learning in baboons (Papio papio) and humans (Homo sapiens): species differences in learned attention to visual features

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Abstract

We examined attention shifting in baboons and humans during the learning of visual categories. Within a conditional matching-to-sample task, participants of the two species sequentially learned two two-feature categories which shared a common feature. Results showed that humans encoded both features of the initially learned category, but predominantly only the distinctive feature of the subsequently learned category. Although baboons initially encoded both features of the first category, they ultimately retained only the distinctive features of each category. Empirical data from the two species were analyzed with the 1996 ADIT connectionist model of Kruschke. ADIT fits the baboon data when the attentional shift rate is zero, and the human data when the attentional shift rate is not zero. These empirical and modeling results suggest species differences in learned attention to visual features.

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References

  • Anderson JR (1991) The adaptive nature of human categorization. Psychol Rev 98: 409–429

    Article  Google Scholar 

  • Cerella J (1979) Visual classes and natural categories in the pigeon. J Exp Psychol Hum Percept Perform 5: 68–77

    Article  CAS  PubMed  Google Scholar 

  • D’Amato MR Sant P van 1988 The person concept in monkeys Cebus apella. J Exp Psychol Anim Behav Proc 1443-5

  • Dépy D, Fagot J, Vauclair J (1997) Categorisation of three-dimensional stimuli by humans and baboons: search for a prototype effect. Behav Proc 39: 299–306

    Article  Google Scholar 

  • Deruelle C, Fagot J (in press) Visual search for global/local stimulus features in humans and baboons. Psychonom Bull Rev

  • Fagot J, Deruelle C (1997) Processing of global and local visual information and hemispheric specialization in humans (Homo sapiens) and baboons (Papio papio). J Exp Psychol Hum Percept Perform 23: 429–442

    Article  CAS  PubMed  Google Scholar 

  • Gluck MA, Bower GH (1988) From conditioning to category learning: an adaptive network model. J Exp Psychol Gen 117: 227–247

    Article  CAS  PubMed  Google Scholar 

  • Goffe WL Ferrier GD Rogers J 1994 global optimizati of statistical functions with simulated annealing. J Ecometrics 6065-9

  • Kruschke JK (1992) ALCOVE: an exemplar-based connectionist model of category learning. Psychol Rev 99: 22–44

    Article  CAS  PubMed  Google Scholar 

  • Kruschke JK (1996a) Base rates in category learning. J Exp Psychol Learning Mem Cogn 22: 3–26

    Article  CAS  Google Scholar 

  • Kruschke JK (1996b) Dimensional relevance shifts in category learning. Connection Sci 8: 201–223

    Article  Google Scholar 

  • Kruschke JK (1997) Attention in learning: relating Mackintosh’s (1975) theory to connectionist models and human categorization. Talk presented at the Eighth Australasian Mathematical Psychology Conference, Perth, Australia, 29 November 1997

    Google Scholar 

  • Mackintosh NJ (1969) Comparative studies of reversal and probability learning: rats, birds and fish. In: Gilbert RM, Sutherland NS (eds) Animal discrimination learning. Academic Press, New York, pp 137–162

    Google Scholar 

  • Mackintosh NJ (1975) A theory of attention: variations in the associability of stimuli with reinforcement. Psychol Rev 82: 276–298

    Article  Google Scholar 

  • Medin DL, Schaffer MM (1978) Context theory of classification learning. Psychol Rev 85: 207–238

    Article  Google Scholar 

  • Miller RR, Barnet RC, Grahame NJ (1995) Assessment of the Rescorla-Wagner model. Psychonom Bull 117: 363–389

    CAS  Google Scholar 

  • Nosofsky RM (1986) Attention, similarity and the identification-categorization relationship. J Exp Psychol General 115: 39–57

    Article  CAS  Google Scholar 

  • Pearce JM (1994) Similarity and discrimination: a selective review and a connectionist model. Psychol Rev 101: 587–607

    Article  CAS  PubMed  Google Scholar 

  • Rescorla RA, Wagner AR (1972) A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and non-reinforcement. In: Black AH, Prokosy WF (eds) Classical conditioning II. Current research and theory. Appleton-Century-Crofts, New York, pp 64–99

    Google Scholar 

  • Shanks DR (1992) Connectionist accounts of the inverse base-rate effect in categorization. Connection Sci 4: 3-8

    Article  Google Scholar 

  • Siegel S, Allan LG (1996) The widespread influence of the Rescorla-Wagner model. Psychonom Bull Rev 3: 314–321

    Article  CAS  Google Scholar 

  • Sutherland NS, Mackintosh NJ (1971) Mechanisms of animal discrimination learning. Academic Press, New York

    Google Scholar 

  • Vauclair J, Fagot J, Hopkins WD (1993) Rotation of mental images in baboons when the visual input is directed to the left cerebral hemisphere. Psychol Sci 4: 99–103

    Article  Google Scholar 

  • Wickens TD (1989) Multiway contingency tables analysis for the social sciences. Erlbaum, Hillsdale

    Google Scholar 

  • Witte EA, Villareal M, Marroco RT (1996) Visual orienting and alerting in rhesus monkeys: comparison with humans. Behav Brain Res 82: 103–112

    Article  CAS  PubMed  Google Scholar 

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Fagot, J., Kruschke, J., Dépy, D. et al. Associative learning in baboons (Papio papio) and humans (Homo sapiens): species differences in learned attention to visual features. Anim Cogn 1, 123–133 (1998). https://doi.org/10.1007/s100710050017

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  • DOI: https://doi.org/10.1007/s100710050017

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