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An episodic model of task switching effects : erasing the homunculus from memory

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Abstract
The Parallel Episodic Processing (PEP) model is a neural network for simulating human performance in speeded response time tasks. It learns with an exemplar-based memory store and it is capable of modelling findings from various subdomains of cognition. In this paper, we show how the PEP model can be designed to follow instructions (e.g., task rules and goals). The extended PEP model is then used to simulate a number of key findings from the task switching domain. These include the switch cost, task-rule congruency effects, response repetition asymmetries, cue repetition benefits, and the full pattern of means from a recent feature integration decomposition of cued task switching (Schmidt & Liefooghe, 2016). We demonstrate that the PEP model fits the participant data well, that the model does not possess the flexibility to match any pattern of results, and that a number of competing task switching models fail to account for key observations that the PEP model produces naturally. Given the parsimony and unique explanatory power of the episodic account presented here, our results suggest that feature-integration biases have a far greater power in explaining task-switching performance than previously assumed.
Keywords
computational modelling, neural networks, episodic memory, binding, switch costs, feature integration, task-rule congruency, instruction implementation, goals

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MLA
Schmidt, James J. R., et al. “An Episodic Model of Task Switching Effects : Erasing the Homunculus from Memory.” JOURNAL OF COGNITION, vol. 3, no. 1, 2020, doi:10.5334/joc.97.
APA
Schmidt, J. J. R., Liefooghe, B., & De Houwer, J. (2020). An episodic model of task switching effects : erasing the homunculus from memory. JOURNAL OF COGNITION, 3(1). https://doi.org/10.5334/joc.97
Chicago author-date
Schmidt, James J. R., Baptist Liefooghe, and Jan De Houwer. 2020. “An Episodic Model of Task Switching Effects : Erasing the Homunculus from Memory.” JOURNAL OF COGNITION 3 (1). https://doi.org/10.5334/joc.97.
Chicago author-date (all authors)
Schmidt, James J. R., Baptist Liefooghe, and Jan De Houwer. 2020. “An Episodic Model of Task Switching Effects : Erasing the Homunculus from Memory.” JOURNAL OF COGNITION 3 (1). doi:10.5334/joc.97.
Vancouver
1.
Schmidt JJR, Liefooghe B, De Houwer J. An episodic model of task switching effects : erasing the homunculus from memory. JOURNAL OF COGNITION. 2020;3(1).
IEEE
[1]
J. J. R. Schmidt, B. Liefooghe, and J. De Houwer, “An episodic model of task switching effects : erasing the homunculus from memory,” JOURNAL OF COGNITION, vol. 3, no. 1, 2020.
@article{8666958,
  abstract     = {The Parallel Episodic Processing (PEP) model is a neural network for simulating human performance
in speeded response time tasks. It learns with an exemplar-based memory store and it is capable of modelling findings from various subdomains of cognition. In this paper, we show how the PEP model can be designed to follow instructions (e.g., task rules and goals). The extended PEP model is then used to simulate a number of key findings from the task switching domain. These include the switch cost, task-rule congruency effects, response repetition asymmetries, cue repetition benefits, and the full pattern of means from a recent feature integration decomposition of cued task switching (Schmidt & Liefooghe, 2016). We demonstrate that the PEP model fits the participant data well, that the model does not possess the flexibility to match any pattern of results, and that a number of competing task switching models fail to account for key observations that the PEP model produces naturally. Given the parsimony and unique explanatory power of the episodic account presented here, our results suggest that feature-integration biases have a far greater power in explaining task-switching performance than previously assumed.},
  articleno    = {22},
  author       = {Schmidt, James J. R. and Liefooghe, Baptist and De Houwer, Jan},
  issn         = {2514-4820},
  journal      = {JOURNAL OF COGNITION},
  keywords     = {computational modelling,neural networks,episodic memory,binding,switch costs,feature integration,task-rule congruency,instruction implementation,goals},
  language     = {eng},
  number       = {1},
  pages        = {38},
  title        = {An episodic model of task switching effects : erasing the homunculus from memory},
  url          = {http://dx.doi.org/10.5334/joc.97},
  volume       = {3},
  year         = {2020},
}

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