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Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning

Understanding how goals control behavior is a question ripe for interrogation by new methods from machine learning. These methods require large and labeled datasets to train models. To annotate a large-scale image dataset with observed search fixations, we collected 16,184 fixations from people sear...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Neuron Behav Data Anal Theory
Päätekijät: Zelinsky, Gregory J., Chen, Yupei, Ahn, Seoyoung, Adeli, Hossein, Yang, Zhibo, Huang, Lihan, Samaras, Dimitrios, Hoai, Minh
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2021
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC8218820/
https://ncbi.nlm.nih.gov/pubmed/34164631
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.51628/001c.22322
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