Abstract
Abstract
Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.
Publisher
Cambridge University Press (CUP)
Subject
Behavioral Neuroscience,Physiology,Neuropsychology and Physiological Psychology