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Birnbaum, Kornell, Bjork, and Bjork (2013) proposed the discriminative-contrast hypothesis to explain that interleaving enhances learning by allowing the comparison between exemplars of different categories.
We used 8 faces from the ORL database of faces (http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html) each with 5 exemplars of different views, as illustrated in Fig. 11.
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There were 9 images in Experiment 1, comprising 3 different exemplars of three different categories of visual object (wine glasses, mobile phones, and apples; see Fig. 1 A and Supplementary Fig. 1 A).
To investigate neural correlates of object-category formation, pre- and post-training fMRI time-series were obtained while the participants viewed exemplars of the different bird types (Figure 2b).
Secondary structural predictions for exemplars of the different N-termini consisted mostly of 4-6 alpha-helices (41-70%) that are connected by short intervening random coils and some extended strands (Additional file 3).
Thus, relevant questions include: were different exemplars of syllables spoken by different speakers?
If overlapping regions of the same gene are exemplars for different families, then FastBLAST merges those regions.
The increasing degree of promiscuity among the protein network exemplars is evident in the bipartite network by the number of connections of an exemplar to different immune cell type ranges from lineage specific associations to increasingly common lineage associations.
In contrast, HMAX is typically trained with large databases of pictures of different exemplars of, for example, hats and beer mugs as in the Caltech databases, which do not provide the basis for invariant representations of objects to be learned, but are aimed at object classification.
Many of the photos included the same objects photographed from different viewpoints, or different exemplars of the same type of objects.
The observed decreases in activity in these regions replicate results on priming of different exemplars of single objects while further extending these results to similar complex visual scenes.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com