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Description:: Discrepancies between human and deep neural network (DNN) strategies for object recognition pose critical challenges in domains demanding interpretable and trustworthy models. To address this …
Year:: 2025
Contributor:: Gopal, Jay (creator); Serre, Thomas (thesis advisor); Linsley, Drew (reader); Sridhar, Srinath (reader); Brown University. Cognitive and Psychological Sciences (sponsor)
Genre:: theses
Subject:: computational neuroscience; deep neural networks; artificial intelligence; computer vision; psychophysics; explainability; machine learning; deep learning; neuroscience
Language:: English
Collection:: Cognitive, Linguistic, and Psychological Sciences; Theses and Dissertations

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