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Two processes are not necessary to understand memory deficits

Published online by Cambridge University Press:  03 January 2020

Adam F. Osth Open the ORCID record for Adam F. Osth [Opens in a new window] ,
John C. Dunn ,
Andrew Heathcote  and
Roger Ratcliff
Adam F. Osth
Affiliation:
Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC3010, [email protected]://findanexpert.unimelb.edu.au/display/person768357
John C. Dunn
Affiliation:
School of Psychological Science, University of Western Australia, Crawley, WA6009, [email protected]://research-repository.uwa.edu.au/en/persons/john-dunn
Andrew Heathcote
Affiliation:
Discipline of Psychology, The University of Tasmania, Sandy Bay, TAS7005, [email protected]://www.tascl.org
Roger Ratcliff
Affiliation:
Department of Psychology, The Ohio State University, Columbus, OH43210. [email protected]://star.psy.ohio-state.edu
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Abstract

Bastin et al. propose a dual-process model to understand memory deficits. However, results from state-trace analysis have suggested a single underlying variable in behavioral and neural data. We advocate the usage of unidimensional models that are supported by data and have been successful in understanding memory deficits and in linking to neural data.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 42 , 2019 , e294
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Copyright
Copyright © Cambridge University Press 2020

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References

Aschenbrenner, A. J., Balota, D. A., Gordon, B. A., Ratcliff, R. & Morris, J. C. (2016) A diffusion model analysis of episodic recognition in preclinical individuals with a family history for Alzheimer's Disease: The adult children study. Neuropsychology 30:225–38.CrossRefGoogle ScholarPubMed
Bamber, D. (1979) State-trace analysis: A method of testing simple theories of causation. Journal of Mathematical Psychology 19:137–81.CrossRefGoogle Scholar
Brezis, N., Bronfman, Z. Z., Yovel, G. & Goshen-Gottstein, Y. (2017) The electrophysiological signature of remember-know is confounded with memory strength and cannot be interpreted as evidence for dual-process theory of recognition. Journal of Cognitive Neuroscience 29:322–36.CrossRefGoogle ScholarPubMed
Dunn, J. C. (2008) The dimensionality of the remember–know task: A state-trace analysis. Psychological Review 115:426–46. doi: 10.1037/0033-295X.115.2.426.CrossRefGoogle ScholarPubMed
Dunn, J. C. & Kalish, M. L. (2018) State-trace analysis. Springer.CrossRefGoogle Scholar
Dunn, J. C. & Kirsner, K. (1988) Discovering functionally independent mental processes: The principle of reversed association. Psychological Review 95:91–101.CrossRefGoogle ScholarPubMed
Eichenbaum, H., Yonelinas, A. P. & Ranganath, C. (2007) The medial temporal lobe and recognition memory. Annual Review of Neuroscience 30:123–52. doi: 10.1146/annurev.neuro.30.051606.094328.CrossRefGoogle ScholarPubMed
Freeman, E., Dennis, S. & Dunn, J. C. (2010) An examination of the ERP correlates of recognition memory using state-trace analysis. In: Proceedings of the 32nd Annual Conference of the Cognitive Science Society, ed. Ohlsson, S. & Catrambone, R., pp. 97–102. Cognitive Science Society.Google Scholar
Gold, J. I. & Shadlen, M. N. (2007) The neural basis of decision making. Annual Review of Neuroscience 30:535–74.CrossRefGoogle ScholarPubMed
Hayes, B. K., Dunn, J. C., Joubert, A. & Taylor, R. (2017) Comparing single- and dual-process models of memory development. Developmental Science 20:1–14.CrossRefGoogle ScholarPubMed
Heathcote, A. (2003) Item recognition memory and the receiver operating characteristic. Journal of Experimental Psychology: Learning, Memory, and Cognition 29:1210–30.Google ScholarPubMed
Heathcote, A., Raymond, F. & Dunn, J. C. (2006) Recollection and familiarity in recognition memory: Evidence from ROC curves. Journal of Memory and Language 55:495–514.CrossRefGoogle Scholar
Newell, B. R. & Dunn, J. C. (2008) Dimensions in data: Testing psychological models using state-trace analysis. Trends in Cognitive Sciences 12(8):285–90.CrossRefGoogle ScholarPubMed
Osth, A. F., Bora, B., Dennis, S. & Heathcote, A. (2017) Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory. Journal of Memory and Language 96:36–61.CrossRefGoogle Scholar
Osth, A. F., Jansson, A., Dennis, S. & Heathcote, A. (2018) Modeling the dynamics of recognition memory testing with an integrated model of retrieval and decision making. Cognitive Psychology 104:106–42.CrossRefGoogle ScholarPubMed
Pazzaglia, A. M., Dube, C. & Rotello, C. M. (2013) A critical comparison of discrete-state and continuous models of recognition memory: Implications for recognition and beyond. Psychological Bulletin 139(6):1173–203.CrossRefGoogle ScholarPubMed
Pooley, J. P., Lee, M. D. & Shankle, W. R. (2011) Understanding memory impairment with memory models and hierarchical Bayesian analysis. Journal of Mathematical Psychology 55:47–56.CrossRefGoogle Scholar
Ratcliff, R. (1978) A theory of memory retrieval. Psychological Review 85(2):59–108. Available at: https://doi.org/10.1037/0033-295X.85.2.59.CrossRefGoogle Scholar
Ratcliff, R., Sederberg, P. B., Smith, T. A. & Childers, R. (2016a) A single trial analysis of EEG in recognition memory: Tracking the neural correlates of memory strength. Neuropsychologia 93:128–41.CrossRefGoogle Scholar
Ratcliff, R., Thapar, A. & McKoon, G. (2004) A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language 50:408–24.CrossRefGoogle Scholar
Rugg, M. D. & Curran, T. (2007) Event-related potentials and recognition memory. Trends in Cognitive Sciences 11:251–57.CrossRefGoogle ScholarPubMed
Song, Z., Wixted, J. T., Smith, C. N. & Squire, L. R. (2011) Different nonlinear functions in hippocampus and perirhinal cortex relating functional MRI activity to memory strength. Proceedings of the National Academy of Sciences USA 108:5783–88.CrossRefGoogle ScholarPubMed
Squire, L. R., Wixted, J. T. & Clark, R. E. (2007) Recognition memory and the medial temporal lobe: A new perspective. Nature Reviews: Neuroscience 8(11):872–83. doi: 10.1038/nrn2154.CrossRefGoogle ScholarPubMed
White, C. N., Ratcliff, R., Vasey, M. W. & McKoon, G. (2010) Using diffusion models to understand clinical disorders. Journal of Mathematical Psychology 54:39–52.CrossRefGoogle ScholarPubMed
Yonelinas, A. P. (2002) The nature of recollection and familiarity: A review of 30 years of research. Journal of Memory and Language 46(3):441–517.CrossRefGoogle Scholar