John H. Hummel

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream 2015 Umut Güçlü
Marcel van Gerven
1
+ Initiating and Fading Self-Management Interventions to Increase Math Fluency in General Education Classes 1998 Dennis McDougall
Michael P. Brady
1
+ Self-recording in kindergarten: A study in naturalistic evaluation 1984 Patti Studwell
Roy A. Moxley
1
+ A Case Study of the Effects of Self-Graphing Reading Performance Data for a Girl Identified with Emotional/Behavioral Disorders 2003 Philip L. Gunter
Kerrie A. Miller
Martha L. Venn
1
+ PDF Chat Metric invariance in object recognition: A review and further evidence. 1992 Eric E. Cooper
Irving Biederman
John E. Hummel
1
+ Algebra I: An Incremental Development 1981 John H. Saxon
1
+ Cognitive Arithmetic and Problem Solving 1997 Nancy C. Jordan
Teresa Oettinger Montani
1
+ False-Positive Psychology 2011 Joseph P. Simmons
Leif D. Nelson
Uri Simonsohn
1
+ PDF Chat Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition 2014 Charles F. Cadieu
Ha Hong
Daniel Yamins
Nicolas Pinto
Diego Ardila
Ethan A. Solomon
Najib J. Majaj
James J. DiCarlo
1
+ Developing Fluency with Basic Number Facts: Intervention for Students with Learning Disabilities. 1992 Katherine Garnett
1
+ Improving the Conduct of Students with Behavioral Disorders by Incorporating Student Interests into Curricular Activities 1995 Shelley Clarke
Glen Dunlap
Lynn Foster‐Johnson
Karen E. Childs
Diane Wilson
Ronnie White
Arcadia Vera
1
+ Visual shape perception as Bayesian inference of 3D object-centered shape representations. 2017 Goker Erdogan
Robert A. Jacobs
1
+ Dynamic Routing Between Capsules 2017 Sara Sabour
Nicholas Frosst
Geoffrey E. Hinton
1
+ None 2002 George H. Noell
Frank M. Gresham
Kristin A. Gansle
1
+ Can machine learning account for human visual object shape similarity judgments? 2020 Joseph German
Robert A. Jacobs
1
+ The Origins and Prevalence of Texture Bias in Convolutional Neural Networks 2019 Katherine L. Hermann
Ting Chen
Simon Kornblith
1
+ PDF Chat Controversial stimuli: Pitting neural networks against each other as models of human cognition 2020 Tal Golan
Prashant C. Raju
Nikolaus Kriegeskorte
1
+ PDF Chat Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity 2021 Mathias Sablé-Meyer
Joël Fagot
Serge Caparos
Timo van Kerkoerle
Marie Amalric
Stanislas Dehaene
1
+ A topological solution to object segmentation and tracking 2022 Thomas R. Tsao
Doris Y. Tsao
1
+ PDF Chat Deep problems with neural network models of human vision 2022 Jeffrey S. Bowers
Gaurav Malhotra
Marin Dujmović
Milton L. Montero
Christian Tsvetkov
Valerio Biscione
Guillermo Puebla
Federico Adolfi
John E. Hummel
Rachel F. Heaton
1
+ PDF Chat On Logical Inference over Brains, Behaviour, and Artificial Neural Networks 2023 Olivia Guest
Andrea E. Martin
1
+ You can’t play 20 questions with nature and win redux 2023 Bradley C. Love
Robert M. Mok
1
+ Introducing the MindSet benchmark for comparing DNNs to human vision 2023 Valerio Biscione
Dong Yin
Gaurav Malhotra
Marin Dujmović
Milton L. Montero
Guillermo Puebla
Federico Adolfi
Christian Tsvetkov
Rachel Flood Heaton
John D. Hummel
1
+ PDF Chat The neuroconnectionist research programme 2023 Adrien Doerig
Rowan P. Sommers
Katja Seeliger
Blake A. Richards
Jenann Ismael
Grace W. Lindsay
Konrad P. Körding
Talia Konkle
Marcel van Gerven
Nikolaus Kriegeskorte
1
+ Human shape representations are not an emergent property of learning to classify objects. 2023 Gaurav Malhotra
Marin Dujmović
John E. Hummel
Jeffrey S. Bowers
1