J. Hummel

John E. Hummel Eric R. Melz, Jeff Thompson Keith J. Holyoak, K. Holyoak, 2019, Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society.

Pattern goodness and pattern recognition.

Irving Biederman, John E. Hummel, H. John Hilton, 1991 .

Working memory for relations among objects

Pamela E. Clevenger, J. Hummel, 2013, Attention, Perception, & Psychophysics.

The Proper Treatment of Symbols in a Connectionist Architecture

John E. Hummel, Keith J. Holyoak, K. Holyoak, 2000 .

Distributed representations of structure: A theory of analogical access and mapping.

John E. Hummel, Keith J. Holyoak, K. Holyoak, 1997 .

Automatic priming for translation- and scale-invariant representations of object shape

John E. Hummel, Brian J. Stankiewicz, J. Hummel, 2002 .

Great Computational Intelligence in the Formal Sciences via Analogical Reasoning

Selmer Bringsjord, John E. Hummel, John Licato, 2017 .

Varieties of sameness: the impact of relational complexity on perceptual comparisons

John E. Hummel, Keith J. Holyoak, James K. Kroger, 2004, Cogn. Sci..

A Computational Account of the Development of the Generalization of Shape Information

Leonidas A. A. Doumas, John E. Hummel, J. Hummel, 2010, Cogn. Sci..

Metric invariance in object recognition: a review and further evidence.

I Biederman, E E Cooper, I. Biederman, 1992, Canadian journal of psychology.

Deep problems with neural network models of human vision

Chris I Tsvetkov, J. Hummel, J. Bowers, 2022, Behavioral and Brain Sciences.

Human shape representations are not an emergent property of learning to classify objects

J. Hummel, J. Bowers, Gaurav Malhotra, 2021, bioRxiv.

Ideals Aren't Always Typical: Dissociating Goodness-of-Exemplar From Typicality Judgments

Aniket Kittur, John E. Hummel, Keith J. Holyoak, 2006 .

Feature- vs. Relation-Defined Categories: Probab(alistic)ly Not the Same

Aniket Kittur, John E. Hummel, Keith J. Holyoak, 2004 .

Shape Recognition in Mind, Brain, and Machine

Irving Biederman, John E. Hummel, Peter Gerhardstein, 1993 .

From image edges to geons to viewpoint-invariant object models: a neural net implementation

Irving Biederman, John E. Hummel, Peter Gerhardstein, 1992, Defense, Security, and Sensing.

Priming of plane-rotated objects depends on attention and view familiarity

John E. Hummel, Jules Davidoff, Volker Thoma, 2006 .

A Single Counterexample Leads to Moral Belief Revision

John Hummel, Derek Powell, Zachary Horne, 2015, Cogn. Sci..

Using Computational Models of Object Recognition to Investigate Representational Change Through Development

John E. Hummel, Dean Petters, Martin Jüttner, 2017 .

How different are the visual representations used for object recognition in middle childhood and adulthood

John E. Hummel, Dean Petters, Martin Jüttner, 2014 .

A theory of relation learning and cross-domain generalization.

J. Hummel, L. Doumas, Andrea E. Martin, 2019, Psychological review.

The One-to-One Constraint in Analogical Mapping and Inference

John E. Hummel, Keith J. Holyoak, Daniel C. Krawczyk, 2005, Cogn. Sci..

Countering antivaccination attitudes

Derek Powell, Zachary Horne, Keith J Holyoak, 2015, Proceedings of the National Academy of Sciences.

Progressive Alignment Facilitates Learning of Deterministic But Not Probabilistic Relational Categories

John E. Hummel, Wookyoung Jung, J. Hummel, 2011, CogSci.

Probabilistic relational categories are learnable as long as you don’t know you’re learning probabilistic relational categories

John E. Hummel, Wookyoung Jung, J. Hummel, 2009 .

Causality and the allocation of attention during comprehension.

J. Hummel, C. Fletcher, C. J. Marsolek, 1990, Journal of experimental psychology. Learning, memory, and cognition.

Role of gamma-band synchronization in priming of form discrimination for multiobject displays.

Keith J Holyoak, John E Hummel, Hongjing Lu, 2006, Journal of experimental psychology. Human perception and performance.

A Solution to the Binding Problem for Compositional Connectionism

Aniket Kittur, Leonidas A. A. Doumas, Derek Devnich, 2004, AAAI Technical Report.

Comparison-induced decoy effects

Jessica M. Choplin, John E Hummel, J. Hummel, 2005, Memory & cognition.

Magnitude comparisons distort mental representations of magnitude.

Jessica M. Choplin, John E Hummel, J. Hummel, 2002, Journal of experimental psychology. General.

Functional Interactions Affect Object Detection in Non-Scene Displays

J. Hummel, C. Green, 2004 .

Making Probabilistic Relational Categories Learnable

John E. Hummel, Wookyoung Jung, J. Hummel, 2015, Cogn. Sci..

The Scene Superiority Effect

John E. Hummel, Daniel J. Simons, Richard Yao, 2010 .

Working memory for relations among objects

John E. Hummel, Pamela E. Clevenger, J. Hummel, 2014, Attention, perception & psychophysics.

Structural constraints and object similarity in analogical mapping and inference

Daniel C. Krawczyk, Keith J Holyoak, John E Hummel, 2004 .

Higher-Level Cognitive Functions and Connectionist Modeling. Relational Reasoning in a Neurally-Plausible Cognitive Architecture: An Overview of the LISA Project.

John E. Hummel, Keith J. Holyoak, K. Holyoak, 2003 .

Connectedness and part-relation integration in shape category learning

J. Hummel, J. Saiki, J Saiki, 1998, Memory & cognition.

Computational Models of Higher Cognition

John E. Hummel, Leonidas A. A. Doumas, J. Hummel, 2012 .

Working Memory for Spatial Relations Among Object Parts

John E. Hummel, Pamela E. Glosson, J. Hummel, 2010 .

Putting distributed representations into context

John E. Hummel, J. Hummel, 2017 .

Symbolic Versus Associative Learning

John E. Hummel, J. Hummel, 2010, Cogn. Sci..

Relation learning in a neurocomputational architecture supports cross-domain transfer

J. Hummel, L. Doumas, Guillermo Puebla, 2019, CogSci.

Why spatial-numeric associations aren't evidence for a mental number line

J. Hummel, D. Landy, E. Jones, 2008 .

Object recognition

J. Hummel, John E. Hummel, 1998 .

Getting symbols out of a neural architecture

John E. Hummel, J. Hummel, 2011, Connect. Sci..

A theory of the discovery and predication of relational concepts.

Catherine M. Sandhofer, J. Hummel, C. Sandhofer, 2008, Psychological review.

A neurocomputational system for relational reasoning

K. Holyoak, J. Hummel, B. Knowlton, 2012, Trends in Cognitive Sciences.

Analogy, explanation, and proof

Selmer Bringsjord, John E. Hummel, John Licato, 2014, Front. Hum. Neurosci..

Visual priming of inverted and rotated objects.

J. Hummel, B. Knowlton, C. J. Coelho, 2009, Journal of experimental psychology. Learning, memory, and cognition.

Information on How to Cite Items within Roar@uel

J. Hummel, J. Davidoff, V. Thoma, 2022 .

Toward a Process Model of Explanation with Implications for the Type-Token Problem

Derek Devnich, John E. Hummel, David Landy, 2008, AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence.

Please Scroll down for Article Visual Cognition Priming of Plane-rotated Objects Depends on Attention and View Familiarity Priming of Plane-rotated Objects Depends on Attention and View Familiarity a Hybrid Model of Object Recognition

J. Hummel, J. Davidoff, V. Thoma, 2022 .