Modeling the effect of cortical magnification on feature detection and individuation.

John E. Hummel Rachel F. Heaton John E. Hummel Modeling the effect of cortical magnification on feature detection and individuation. 2025 CogSci https://escholarship.org/uc/item/039209kq conf/cogsci/2025 db/conf/cogsci/cogsci2025.html#HeatonH25

John E. Hummel Rachel F. Heaton From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence. 2025 August abs/2508.15082 CoRR https://doi.org/10.48550/arXiv.2508.15082 db/journals/corr/corr2508.html#abs-2508-15082 streams/journals/corr

Valerio Biscione Dong Yin Gaurav Malhotra Marin Dujmovic Milton Llera Montero Guillermo Puebla Federico Adolfi Rachel F. Heaton John E. Hummel Benjamin D. Evans Karim Habashy Jeffrey S. Bowers MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. 2024 abs/2404.05290 CoRR https://doi.org/10.48550/arXiv.2404.05290 db/journals/corr/corr2404.html#abs-2404-05290

Jeffrey S. Bowers Gaurav Malhotra Federico Adolfi Marin Dujmovic Milton Llera Montero Valerio Biscione Guillermo Puebla John E. Hummel Rachel F. Heaton On the importance of severely testing deep learning models of cognition. 101158 2023 December 82 Cogn. Syst. Res. https://doi.org/10.1016/j.cogsys.2023.101158 db/journals/cogsr/cogsr82.html#BowersMADMBPHH23

Yuhui Du John E. Hummel Alexander A. Petrov Exaggeration of Stimulus Attributes in the Representation of Relational Categories. 2022 CogSci https://escholarship.org/uc/item/5727p1wp conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#DuHP22 Yuhui Du John E. Hummel Alexander A. Petrov Probing the Mental Representation of Relation-Defined Categories. 2021 CogSci https://escholarship.org/uc/item/1gh172n3 conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#DuHP21 Leonidas A. A. Doumas Guillermo Puebla Andrea E. Martin John E. Hummel Relation learning in a neurocomputational architecture supports cross-domain transfer. 2020 CogSci https://escholarship.org/uc/item/35v29557 conf/cogsci/2020 db/conf/cogsci/cogsci2020.html#DoumasPMH20 Rachel F. Heaton John E. Hummel Rapid Unsupervised Encoding of Object Files for Visual Reasoning. 1895-1900 2019 CogSci https://escholarship.org/uc/item/2bt5b5mf conf/cogsci/2019 db/conf/cogsci/cogsci2019.html#HeatonH19

Leonidas A. A. Doumas Guillermo Puebla Andrea E. Martin John E. Hummel Relation learning in a neurocomputational architecture supports cross-domain transfer. 2019 abs/1910.05065 CoRR http://arxiv.org/abs/1910.05065 db/journals/corr/corr1910.html#abs-1910-05065

Sean Wilner John E. Hummel Automating the Encoding for the LISA Model of Analogy from Raw Text. 115-122 2017 MAICS https://ceur-ws.org/Vol-1964/NLP3.pdf conf/maics/2017 db/conf/maics/maics2017.html#WilnerH17

Wookyoung Jung John E. Hummel Making Probabilistic Relational Categories Learnable. 1259-1291 2015 39 Cogn. Sci. 6 https://doi.org/10.1111/cogs.12199 https://www.wikidata.org/entity/Q50623563 db/journals/cogsci/cogsci39.html#JungH15

Zachary Horne Derek Powell John E. Hummel A Single Counterexample Leads to Moral Belief Revision. 1950-1964 2015 39 Cogn. Sci. 8 https://doi.org/10.1111/cogs.12223 https://www.wikidata.org/entity/Q46139586 db/journals/cogsci/cogsci39.html#HornePH15

Wookyoung Jung John E. Hummel The effects of dual verbal and visual tasks on featural vs. relational category learning. 2013 CogSci https://escholarship.org/uc/item/1qp1v8g2 conf/cogsci/2013 db/conf/cogsci/cogsci2013.html#JungH13 Wookyoung Jung John E. Hummel Hierarchical Category Structures Facilitate Acquisition of Probabilistic Relational Categories. 2012 CogSci https://mindmodeling.org/cogsci2012/papers/0546/index.html conf/cogsci/2012 db/conf/cogsci/cogsci2012.html#JungH12

John E. Hummel Getting symbols out of a neural architecture. 109-118 2011 23 Connect. Sci. 2 https://doi.org/10.1080/09540091.2011.569880 db/journals/connection/connection23.html#Hummel11

Wookyoung Jung John E. Hummel Progressive Alignment Facilitates Learning of Deterministic But Not Probabilistic Relational Categories. 2011 CogSci https://mindmodeling.org/cogsci2011/papers/0615/index.html conf/cogsci/2011 db/conf/cogsci/cogsci2011.html#JungH11

Leonidas A. A. Doumas John E. Hummel A Computational Account of the Development of the Generalization of Shape Information. 698-712 2010 34 Cogn. Sci. 4 https://doi.org/10.1111/j.1551-6709.2010.01103.x https://www.wikidata.org/entity/Q51867666 db/journals/cogsci/cogsci34.html#DoumasH10

John E. Hummel Symbolic Versus Associative Learning. 958-965 2010 34 Cogn. Sci. 6 https://doi.org/10.1111/j.1551-6709.2010.01096.x https://www.wikidata.org/entity/Q51867660 db/journals/cogsci/cogsci34.html#Hummel10

Eric G. Taylor John E. Hummel Corrigendum to "Finding similarity in a model of relational reasoning" [Cognitive Systems Research 10 (2009) 229-239]. 210 2010 11 Cogn. Syst. Res. 2 https://doi.org/10.1016/j.cogsys.2009.08.002 db/journals/cogsr/cogsr11.html#TaylorH10

Eric G. Taylor John E. Hummel Finding similarity in a model of relational reasoning. 229-239 2009 10 Cogn. Syst. Res. 3 https://doi.org/10.1016/j.cogsys.2008.09.004 db/journals/cogsr/cogsr10.html#TaylorH09

John E. Hummel David H. Landy Derek Devnich Toward a Process Model of Explanation with Implications for the Type-Token Problem. 79-86 2008 AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence http://www.aaai.org/Library/Symposia/Fall/2008/fs08-06-014.php conf/aaaifs/2008-6 db/conf/aaaifs/aaaifs2008-06.html#HummelLD08

Daniel C. Krawczyk Keith J. Holyoak John E. Hummel The One-to-One Constraint in Analogical Mapping and Inference. 797-806 2005 29 Cogn. Sci. 5 https://doi.org/10.1207/s15516709cog0000_27 https://www.wikidata.org/entity/Q46051865 db/journals/cogsci/cogsci29.html#KrawczykHH05

James K. Kroger Keith J. Holyoak John E. Hummel Varieties of sameness: the impact of relational complexity on perceptual comparisons. 335-358 2004 28 Cogn. Sci. 3 https://doi.org/10.1016/j.cogsci.2003.06.003 https://www.wikidata.org/entity/Q58003528 db/journals/cogsci/cogsci28.html#KrogerHH04

John E. Hummel Keith J. Holyoak Collin B. Green Leonidas A. A. Doumas Derek Devnich Aniket Kittur Donald J. Kalar A Solution to the Binding Problem for Compositional Connectionism. 31-34 2004 AAAI Technical Report (3) https://www.aaai.org/Library/Symposia/Fall/2004/fs04-03-007.php conf/aaaifs/2004-3 db/conf/aaaifs/aaaifs2004-3.html#HummelHGDDKK04

John E. Hummel "Effective systematicity" in, "effective systematicity" out: a reply to Edelman and Intrator (2003). 327-329 2003 27 Cogn. Sci. 2 https://doi.org/10.1016/S0364-0213(03)00006-5 db/journals/cogsci/cogsci27.html#Hummel03

Irving Biederman Eric Cooper John E. Hummel József Fiser Geon Theory as an Account of Shape Recognition in Mind, Brain and Machine. 1-12 1993 BMVC https://doi.org/10.5244/C.7.18 conf/bmvc/1993 db/conf/bmvc/bmvc1993.html#BiedermanCHF93 Federico Adolfi Irving Biederman Valerio Biscione Jeffrey S. Bowers Eric Cooper Derek Devnich Leonidas A. A. Doumas Yuhui Du Marin Dujmovic Benjamin D. Evans József Fiser Collin GreenCollin B. Green Karim Habashy Rachel F. Heaton Keith J. Holyoak Zachary Horne Wookyoung Jung Donald J. Kalar Aniket Kittur Daniel C. Krawczyk James K. Kroger David LandyDavid H. Landy Gaurav Malhotra Andrea E. Martin Milton Llera Montero Alexander A. Petrov Derek Powell Guillermo Puebla Eric G. Taylor Sean Wilner Dong Yin