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Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
Frontiers in Psychology 8 (2017)
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Citations of this work
Manipulating and measuring variation in deep neural network (DNN) representations of objects.Jason K. Chow & Thomas J. Palmeri - 2024 - Cognition 252 (C):105920.
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses.Tal Golan, JohnMark Taylor, Heiko Schütt, Benjamin Peters, Rowan P. Sommers, Katja Seeliger, Adrien Doerig, Paul Linton, Talia Konkle, Marcel van Gerven, Konrad Kording, Blake Richards, Tim C. Kietzmann, Grace W. Lindsay & Nikolaus Kriegeskorte - 2023 - Behavioral and Brain Sciences 46:e392.
Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes?Andrea De Cesarei, Shari Cavicchi, Giampaolo Cristadoro & Marco Lippi - 2021 - Cognitive Science 45 (6):e13009.
References found in this work
Early recurrent feedback facilitates visual object recognition under challenging conditions.Dean Wyatte, David J. Jilk & Randall C. O'Reilly - 2014 - Frontiers in Psychology 5.
Recurrent Processing during Object Recognition.Randall C. O’Reilly, Dean Wyatte, Seth Herd, Brian Mingus & David J. Jilk - 2013 - Frontiers in Psychology 4.
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