Publications
Pre-prints
Frankland, S.M., Webb, T.W., Lewis, R.L. & Cohen, JD (under review). No Coincidence,George: Processing Limits in Cognitive Function Reflect the Curse of Generalization.
Nurisso, M., Fernando, J., Deshpande, R., Perotti, A., Marjieh, R., Frankland, S.M., Lewis, R.L., Webb, T.W., Campbell, D., Vaccarino, F. and Cohen, J.D., (under review). Bound by semanticity: universal laws governing the generalization-identification tradeoff. arXiv preprint arXiv:2506.14797.
Plunkett, D., Frankland, S.M., & Greene, J.D. (under review). Neural Representation of Compositional Ideas with Spatial Structure
Peer-Reviewed
Carstensen, D.L., Favila, S.E*., & Frankland, S.M* (2025). Deep Vision Models Follow Shepard’s Universal Law of Generalization. Proceedings of the Cognitive Science Society. (* = equal contribution)
Campbell, D., Rane, S., Giallanza, T., De Sabbata, N., Ghods, K., Joshi, A., Ku, A, Frankland, S.,M., Griffiths, T.L., Cohen, J.D., & Webb, T. W. (2024). Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. neurIPS. arXiv preprint arXiv:2411.00238.
Webb, T.W. Frankland, S.M, Altabaa,A., Krishnamurthy, K., Campbell,D., Russin, J., O'Reilly, R.C., Lafferty, J., & Cohen, J.D. (2024). The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. Trends In Cognitive Science.
Mondral, S.S. Frankland, S.M, Webb, T.W., & Cohen, J.D. (2023). Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization. eLife.
Bernhard, R.M., Frankland, S.M., Plunkett, D., Seivers, B. & Greene, JD. (2023). Evidence for Spinozan “unbelieving” in the right inferior prefrontal cortex. Journal of Cognitive Neuroscience.
Frankland, S.M., & Cohen, J.D (2020). Determinantal Point Processes for Memory and Structured Inference. Proceedings of the 42nd Annual Cognitive Science Society. Code for Computational Models.
Frankland, S.M., & Greene, J.D (2020). Two ways to build a thought: distinct forms of compositional semantic representation across brain regions. Cerebral Cortex.
Webb, T. W., Dulberg, Z., Frankland, S. M., Petrov, A. A., O'Reilly, R. C., & Cohen, J. D. (2020). Learning Representations that Support Extrapolation. International Conference on Machine Learning. Code for Computational Models, written by TWW.
Frankland, S.M. & Greene, J.D. (2019). A representational asymmetry for composition in human left-middle temporal gyrus. Advances in Neural Information Processing Systems. Workshop on Context and Compositionality.
Frankland, S.M., Webb, T., Petrov, A.A., O’Reilly, R.C, & Cohen, J.D. (2019). Extracting and utilizing abstract, structured representations for analogy. Proceedings of the 41st Cognitive Science Society. Montreal, QC. Code for Computational Models.
Frankland, S.M., & Greene, J.D (2019). Concepts and compositionality: In search of the brain’s language of thought. Annual Review of Psychology. Vol 71.
Frankland, S.M., Merchant, A. & Greene, J.D (2017). Basal Ganglia contributions to simple logical operations in humans. Cognitive and Computational Neuroscience, New York, NY.
Frankland, S.M., & Greene, J.D (2015). An architecture for encoding sentence meaning in left-mid superior temporal cortex. Proceedings of the National Academy of the Sciences.
Hsu, N. Frankland, S.M., & Thompson-Schill, S.L. (2012). Chromaticity in color perception and object color knowledge. Neuropsychologia.
