Abstract
Models of associative learning differ in their predictions concerning the symmetry of generalization decrements. Whereas Pearce’s (1994) configural model predicts the same response decrement after adding elements to and after removing elements from a previously trained stimulus, elemental models, such as the replaced elements model and Harris’s (2006) model, anticipate more of a decrement for removing than for adding elements. In three contingency learning experiments, we manipulated the motion and the spatial arrangement of colored dots in order to induce configural or elemental processing by perceptual grouping. The results reliably showed symmetrical decrements for the added and removed groups. The manipulations of the stimuli had no effect on stimulus processing. This is in line with Pearce’s configural model, but it is at variance with the elemental models and previous studies.
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Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433–436.
Brandon, S. E., Vogel, E. H., & Wagner, A. R. (2000). A componential view of configural cues in generalization and discrimination in Pavlovian conditioning. Behavioural Brain Research, 110, 67–72.
De Houwer, J., Beckers, T., & Glautier, S. (2002). Outcome and cue properties modulate blocking. Quarterly Journal of Experimental Psychology, 55A, 965–985.
Glautier, S. (2002). Spatial separation of target and competitor cues enhances blocking of human causality judgements. Quarterly Journal of Experimental Psychology, 55B, 121–135.
Glautier, S. (2004). Asymmetry of generalization decrement in causal learning. Quarterly Journal of Experimental Psychology, 57B, 315–329.
Glautier, S. (2008). The elemental-configural distinction: A problem of two dimensions: Commentary on Melchers, Shanks, and Lachnit (2007). Behavioural Processes, 77, 431–433.
González, F., Quinn, J. J., & Fanselow, M. S. (2003). Differential effects of adding and removing components of a context on the generalization of conditional freezing. Journal of Experimental Psychology: Animal Behavior Processes, 29, 78–83.
Harris, J. A. (2006). Elemental representations of stimuli in associative learning. Psychological Review, 113, 584–605.
Lachnit, H., Schultheis, H., König, S., Üngör, M., & Melchers, K. G. (2008). Comparing elemental and configural associative theories in human causal learning: A case for attention. Journal of Experimental Psychology: Animal Behavior Processes, 34, 303–313.
Lachnit, H., Thorwart, A., & Schultheis, H. (2008). Comparing elemental and configural associative theories in human Pavlovian conditioning with indicators of early and late CS processing. Unpublished manuscript.
Liljeholm, M., & Balleine, B. (2008). It’s elemental my dear Watson. Behavioural Processes, 77, 434–436.
Livesey, E. J., & Boakes, R. A. (2004). Outcome additivity, elemental processing and blocking in human causality judgements. Quarterly Journal of Experimental Psychology, 57B, 361–379.
Livesey, E. J., & Harris, J. A. (2008). What are flexible representations? Commentary on Melchers, Shanks and Lachnit. Behavioural Processes, 77, 437–439.
Melchers, K. G., Shanks, D. R., & Lachnit, H. (2008). Stimulus coding in human associative learning: Flexible representations of parts and wholes. Behavioural Processes, 77, 413–427.
Palmer, S. E. (1999). Vision science: Photons to phenomenology. Cambridge, MA: MIT Press.
Pavlov, I. P. (1927). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex (G. V. Anrep, Trans. & Ed.). London: Oxford University Press.
Pearce, J. M. (1987). A model for stimulus generalization in Pavlovian conditioning. Psychological Review, 94, 61–73.
Pearce, J. M. (1994). Similarity and discrimination: A selective review and a connectionist model. Psychological Review, 101, 587–607.
Pineño, O., Denniston, J. C., Beckers, T., Matute, H., & Miller, R. R. (2005). Contrasting predictive and causal values of predictors and of causes. Learning & Behavior, 33, 184–196.
Schultheis, H., Thorwart, A., & Lachnit, H. (2008a). HMS: A MATLAB simulator of the Harris model of associative learning. Behavior Research Methods, 40, 442–449.
Schultheis, H., Thorwart, A., & Lachnit, H. (2008b). Rapid-REM: A MATLAB simulator of the replaced-elements model. Behavior Research Methods, 40, 435–441.
Shanks, D. R., Lachnit, H., & Melchers, K. G. (2008). Representational flexibility and the challenge to elemental theories of learning: Response to commentaries. Behavioural Processes, 77, 451–453.
Thorwart, A., Schultheis, H., König, S., & Lachnit, H. (in press). ALTSim: A MATLAB simulator for current associative learning theories. Behavior Research Methods.
Wagner, A. R. (2003). Context-sensitive elemental theory. Quarterly Journal of Experimental Psychology, 56B, 7–29.
Wheeler, D. S., Amundson, J. C., & Miller, R. R. (2006). Generalization decrement in human contingency learning. Quarterly Journal of Experimental Psychology, 59, 1212–1223.
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This research is part of the doctoral thesis of A.T. and was supported by the Deutsche Forschungsgemeinschaft graduate program NeuroAct (DFG 885). H.L. was supported by Grant La 564/19-1. We thank Steven Glautier for supporting A.T. in the course of her research visit to his lab in Southampton.
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Thorwart, A., Lachnit, H. Symmetrical generalization decrements: Configural stimulus processing in human contingency learning. Learning & Behavior 37, 107–115 (2009). https://doi.org/10.3758/LB.37.1.107
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DOI: https://doi.org/10.3758/LB.37.1.107