Article

A Feedforward Convolutional Neural Network Learns from Images to Covertly Attend to Contextual Cues like Human and Bayesian Ideal Observers

2021-07-01

Abstract excerpt

<p>Human behavioral experiments with predictive cues and contexts have led to influential conceptualizations of visual attention, such as limited resource mechanisms, a temporally serial processor, or weighting of visual information by Bayesian priors. The three most prominent tasks to study covert attention, Posner cueing, set-size effects in search, and contextual cueing are typically explained with different at...

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Literature Corpus work: b7706ef6-db70-5ae8-8f98-83be28a71143
DOI: 10.31234/osf.io/tymfn

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