Effects of Awareness on the Control of Attention. - Taylor W. Webb; Hope H. Kean; Michael S. A. Graziano (J. Cogn. Neurosci., 2016)

Extracting and Utilizing Abstract, Structured Representations for Analogy. - Steven Frankland; Taylor W. Webb; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (CogSci, 2019)

Understanding interactions amongst cognitive control, learning and representation. - Sebastian Musslick; Abigail Novick Hoskin; Taylor W. Webb; Steven Frankland; Jonathan D. Cohen 003; Rebecca L. Jackson; Matthew A. Lambon Ralph; Lang Chen; Timothy T. Rogers; Randall C. O'Reilly; Alexander A. Petrov (CogSci, 2019)

A tradeoff between generalization and perceptual capacity in recurrent neural networks. - Taylor W. Webb; Steven Frankland; Simon N. Segert; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (CogSci, 2019)

A memory-augmented neural network model of abstract sequential reasoning. - Ishan Sinha; Jonathan Cohen 003; Taylor W. Webb (CogSci, 2020)

Learning Representations that Support Extrapolation. - Taylor W. Webb; Zachary Dulberg; Steven Frankland; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (ICML, 2020)

A Memory-Augmented Neural Network Model of Abstract Rule Learning. - Ishan Sinha; Taylor W. Webb; Jonathan D. Cohen 003 (CoRR, 2020)

Modelling the development of counting with memory-augmented neural networks. - Zack Dulberg; Taylor W. Webb; Jonathan Cohen 003 (CogSci, 2021)

Emergent Symbols through Binding in External Memory. - Taylor Whittington Webb; Ishan Sinha; Jonathan D. Cohen 003 (ICLR, 2021)

Zero-shot visual reasoning through probabilistic analogical mapping. - Taylor W. Webb; Shuhao Fu; Trevor Bihl; Keith J. Holyoak; Hongjing Lu (CoRR, 2022)

Emergent Analogical Reasoning in Large Language Models. - Taylor W. Webb; Keith J. Holyoak; Hongjing Lu (CoRR, 2022)

Learning to reason over visual objects. - Shanka Subhra Mondal; Taylor Whittington Webb; Jonathan Cohen 003 (ICLR, 2023)

Systematic Visual Reasoning through Object-Centric Relational Abstraction. - Taylor W. Webb; Shanka Subhra Mondal; Jonathan D. Cohen 003 (NeurIPS, 2023)

Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning. - Awni Altabaa; Taylor W. Webb; Jonathan D. Cohen 003; John Lafferty (CoRR, 2023)

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization. - Shanka Subhra Mondal; Steven Frankland; Taylor W. Webb; Jonathan D. Cohen 003 (CoRR, 2023)

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. - Taylor W. Webb; Steven M. Frankland; Awni Altabaa; Kamesh Krishnamurthy; Declan Campbell; Jacob L. Russin; Randall C. O'Reilly; John Lafferty; Jonathan D. Cohen 003 (CoRR, 2023)

A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. - Taylor W. Webb; Shanka Subhra Mondal; Chi Wang; Brian Krabach; Ida Momennejad (CoRR, 2023)

Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers. - Awni Altabaa; Taylor Whittington Webb; Jonathan D. Cohen 003; John Lafferty (ICLR, 2024)

Slot Abstractors: Toward Scalable Abstract Visual Reasoning. - Shanka Subhra Mondal; Jonathan D. Cohen 003; Taylor Whittington Webb (ICML, 2024)

Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Declan Campbell; Sunayana Rane; Tyler Giallanza; Nicolò De Sabbata; Kia Ghods; Amogh Joshi 004; Alexander Ku; Steven Frankland; Tom Griffiths 001; Jonathan D. Cohen 003; Taylor W. Webb (NeurIPS, 2024)

Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. - Taylor W. Webb; Keith J. Holyoak; Hongjing Lu (CoRR, 2024)

Evaluating Compositional Scene Understanding in Multimodal Generative Models. - Shuhao Fu; Andrew Jun Lee; Yixin Anna Wang; Ida Momennejad; Trevor Bihl; Hongjing Lu; Taylor Whittington Webb (Trans. Mach. Learn. Res., 2025)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. - Yukang Yang; Declan Campbell; Kaixuan Huang; Mengdi Wang; Jonathan D. Cohen 003; Taylor W. Webb (CoRR, 2025)

Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. - Andrew Jun Lee; Taylor W. Webb; Trevor Bihl; Keith J. Holyoak; Hongjing Lu (CoRR, 2025)

Caption This, Reason That: VLMs Caught in the Middle. - Zihan Weng; Lucas Gomez; Taylor Whittington Webb; Pouya Bashivan (CoRR, 2025)

Bound by semanticity: universal laws governing the generalization-identification tradeoff. - Marco Nurisso; Jesseba Fernando; Raj Deshpande; Alan Perotti; Raja Marjieh; Steven M. Frankland; Richard L. Lewis; Taylor W. Webb; Declan Campbell; Francesco Vaccarino; Jonathan D. Cohen 003; Giovanni Petri (CoRR, 2025)

Visual symbolic mechanisms: Emergent symbol processing in vision language models. - Rim Assouel; Declan Campbell; Taylor W. Webb (CoRR, 2025)

Position: We Need An Algorithmic Understanding of Generative AI. - Oliver Eberle; Thomas McGee; Hamza Giaffar; Taylor W. Webb; Ida Momennejad (CoRR, 2025)