Automatic prospective and retrospective activation of object representations during statistical learning
Automatic prospective and retrospective activation of object representations during statistical learning is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include political representation, face perception, object, biological sequence, artificial intelligence, psychology, computer science, computer vision, task, communication, machine learning, gaze, and visual perception. The study not only provides a novel paradigm to measure representation activation during statistical learning, but also elucidates the mechanism of how statistical learning occurs.