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Computational characterization of the role of an attention schema in controlling visuospatial attention
We found that the more uncertain the agent was about the location of its attentional window, the more it benefited from these additional resources, which developed an attention schema.
Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Representational similarity analysis (RSA) has been shown to be an effective framework to characterize brain-activity profiles and deep neural network activations as representational geometry by computing the pairwise distances of the response patterns as a representational dissimilarity matrix (RDM).
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