Disentangling Generativity in Visual Cognition. - Declan Campbell; Timothy T. Rogers (CogSci, 2020)

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)

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)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. - Sreejan Kumar; Raja Marjieh; Byron Zhang; Declan Campbell; Michael Y. Hu; Umang Bhatt; Brenden M. Lake; Thomas L. Griffiths 001 (CoRR, 2024)

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. - Declan Campbell; Sreejan Kumar; Tyler Giallanza; Thomas L. Griffiths 001; Jonathan D. Cohen 003 (CoRR, 2024)

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks. - Declan Campbell; Jonathan D. Cohen 003 (CoRR, 2024)

Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases. - Raja Marjieh; Sreejan Kumar; Declan Campbell; Liyi Zhang; Gianluca M. Bencomo; Jake Snell; Thomas L. Griffiths 001 (CoRR, 2024)

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)

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. - Alexander Ku; Declan Campbell; Xuechunzi Bai; Jiayi Geng; Ryan Liu 001; Raja Marjieh; R. Thomas McCoy; Andrew Nam; Ilia Sucholutsky; Veniamin Veselovsky; Liyi Zhang; Jian-Qiao Zhu; et al. (CoRR, 2025)

Understanding Task Representations in Neural Networks via Bayesian Ablation. - Andrew Nam; Declan Campbell; Thomas L. Griffiths 001; Jonathan D. Cohen 003; Sarah-Jane Leslie (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)