Brady, T. F., & Störmer, V. S. (2024). Comparing memory capacity across stimuli requires maximally dissimilar foils: Using deep convolutional neural networks to understand visual working memory capacity for real-world objects. Memory & Cognition, 52(3), 595-610.
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Cita Chicago Style (17a ed.)
Brady, Timothy F., y Viola S. Störmer. "Comparing Memory Capacity Across Stimuli Requires Maximally Dissimilar Foils: Using Deep Convolutional Neural Networks to Understand Visual Working Memory Capacity for Real-world Objects."
Memory & Cognition 52, no. 3 (2024): 595-610.
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Cita MLA (9a ed.)
Brady, Timothy F., y Viola S. Störmer. "Comparing Memory Capacity Across Stimuli Requires Maximally Dissimilar Foils: Using Deep Convolutional Neural Networks to Understand Visual Working Memory Capacity for Real-world Objects."
Memory & Cognition, vol. 52, no. 3, 2024, pp. 595-610.
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Error al copiar al portapapeles
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