Interaction-driven modeling of diseases over real-world contact data has been shown to promote the understanding of the spread of diseases in communities. This temporal modeling follows the ...
Linear and nonlinear effects of Spatial and Temporal attention: human data and drift diffusion model
Attention can be affected by expectations about where and when stimuli will appear. These two influences may interact with each other in complex ways. To explore these possibilities, we used an ...
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