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  1. Deep learning of shared perceptual representations for familiar and unfamiliar faces: Reply to commentaries.Nicholas M. Blauch, Marlene Behrmann & David C. Plaut - 2021 - Cognition 208 (C):104484.
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  • From concepts to percepts in human and machine face recognition: A reply to Blauch, Behrmann & Plaut.Galit Yovel & Naphtali Abudarham - 2021 - Cognition 208 (C):104424.
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  • Insights from computational models of face recognition: A reply to Blauch, Behrmann and Plaut.Andrew W. Young & A. Mike Burton - 2021 - Cognition 208 (C):104422.
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  • Personal familiarity of faces, animals, objects, and scenes: Distinct perceptual and overlapping conceptual representations.Holger Wiese, Maya Schipper, Tsvetomila Popova, A. Mike Burton & Andrew W. Young - 2023 - Cognition 241 (C):105625.
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  • Partitioning natural face image variability emphasises within-identity over between-identity representation for understanding accurate recognition.David White, Tanya Wayne & Victor P. L. Varela - 2022 - Cognition 219 (C):104966.
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  • Multiple-image arrays in face matching tasks with and without memory.Kay L. Ritchie, Robin S. S. Kramer, Mila Mileva, Adam Sandford & A. Mike Burton - 2021 - Cognition 211 (C):104632.
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  • Seeing through disguise: Getting to know you with a deep convolutional neural network.Eilidh Noyes, Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill, Carlos D. Castillo, Rob Jenkins & Alice J. O'Toole - 2021 - Cognition 211 (C):104611.
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  • Understanding facial impressions between and within identities.Mila Mileva, Andrew W. Young, Robin S. S. Kramer & A. Mike Burton - 2019 - Cognition 190 (C):184-198.
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  • The impact of stability in appearance on the development of facial representations.Christel Devue & Sofie de Sena - 2023 - Cognition 239 (C):105569.
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