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Revisiting mixture models of memory

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  • Blaire Dube

    (The Ohio State University)

  • Julie D. Golomb

    (The Ohio State University)

Abstract

Probabilistic mixture models have contributed significantly to advancements in visual working memory research in recent decades. In a new paper, Schurgin and colleagues revisit the basic assumptions of mixture models and suggest that we cannot understand memory without first considering perception.

Suggested Citation

  • Blaire Dube & Julie D. Golomb, 2020. "Revisiting mixture models of memory," Nature Human Behaviour, Nature, vol. 4(11), pages 1098-1099, November.
    • Handle: RePEc:nat:nathum:v:4:y:2020:i:11:d:10.1038_s41562-020-00947-z
    DOI: 10.1038/s41562-020-00947-z
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