* = equal contribution
O’Shea, R. T., Wei, X.X. & Priebe, N.J. Independent encoding of orientation and mean luminance in mouse visual cortex. Submitted.
Hahn, M., Wang, E. & Wei, X.X. (2025). Identifiability of Bayesian models of cognition. bioRxiv preprint Link
Pavlova, E. & Wei, X.X. (2025). Diffusion models under low-noise regime. arXiv preprint Link
Liu, Y. & Wei, X.X. (2025). How do diffusion models improve adversarial robustness? arXiv preprint Link
Qian, Y., Geisler, W.S. & Wei, X.X. (2025). Quantifying the similarity of neural representations using decision variable correlation. In Advances in neural information processing systems (NeurIPS). Accepted. arXiv preprint Link
Liu, H. et al, (2025) From Route-Level Driving Familiarity to Scenario- and Individual-Level Diversity: A Preliminary Human Gaze Study in Simulated Driving. ICVES 2025. Accepted.
Wei, X.X., & Woodford, M. (2025). Representational geometry explains puzzling error distributions in behavioral tasks. Proceedings of the National Academy of Sciences (PNAS). Link (bioRxiv preprint Link, code)
O'Shea, R.T., Nauhaus, I., Wei, X.X.*, Priebe, N. J.* (2025). Luminance invariant encoding in primary visual cortex. Cell Reports. Link
Redman, W.T.*, Acosta-Mendoza, S.*. Wei, X.X., Goard, M. J. (2025). Robust variability of grid cell properties within individual grid modules enhances encoding of local space. eLife, Link (bioRxiv preprint, Link )
Xu, D., Gao, R., Zhang, W. H., Wei, X. X., & Wu, Y. N. (2025). An Investigation of Conformal Isometry Hypothesis for Grid Cells. International Conference on Learning Representations (ICLR, oral presentation), arXiv preprint arXiv:2405.16865.
McInnes-Taylor, M. (2025). Deep generative similarity-weighted interleaved learning. Master's thesis.
Hahn, M., & Wei, X.X. (2024). A unifying theory explains seemingly contradictory biases in perceptual estimation. Nature Neuroscience, Link. (bioRxiv preprint Link, Supplementary Material)
von Ebers, M.C. & Wei, XX. (2024). Cognitive maps from predictive vision. Nature Machine Intelligence. News & Views. Link
Wu, Z, & Wei, X.X. (2024). Drift-diffusion dynamics of the hippocampal replay. Conference on Computational Cognitive Neuroscience (CCN2024). Link
Kay, K., Biderman, N., Khajeh, R., Beiran, M., Cueva, C.J., Shohamy, D., Jensen, G., Wei, X.X., Ferrera, V.P., & Abbott, L.F. (2024). Emergent neural dynamics and geometry for generalization in a transitive inference task. PLOS Computational Biology.
Kobayashi, Shun (2024). Causal Testing of the Importance of V1 Topography in Coarse Shape Perception via Spatially Patterned Optogenetic. Ph. D thesis.
O’Shea, Ronan (2024). On neural mechanisms for relaying sensory inputs. Ph. D thesis.
von Eber, Margaret C. (2024). From Sensory Input to Cognitive Maps: Exploring the Significance of Spatial Representations in Artificial Hippocampal Models. Master’s thesis.
Zhu, R., & Wei, X.X. (2023). Unsupervised approach to decomposing neural tuning variability. Nature Communications, Link (bioRxiv link )
Ajabi, Z., Keinath, A.T., Wei, X.X., Brandon, M.P. (2023). Population dynamics of the thalamic head direction system during drift and reorientation. Nature. Link
Kim, Y.G., Liu, Y (#), Wei, X.X. (2023). Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE. International Conference on Artificial Intelligence and Statistics (AISTATS 2023) (arXiv preprint Link )
Kay, K., Wei, X.X., Khajeh, R., Beiran, M., Cueva, C.J., Ferrera, C.P., Abbott, L.F. (2022). Neural dynamics and geometry for transitive inference. bioRxiv preprint Link
Xu, D., Gao, R., Zhang, W., Wei, X.X., & Wu, Y.N. (2022). Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells. NeurIPS 2022 NeurReps Workshop (conference track). arXiv preprint Link
Xiong, H.D, & Wei, X.X. (2022). Optimal encoding of prior information in noisy working memory systems. Conference on Computational Cognitive Neuroscience (CCN2022). Link
Deng, X., Chen, S., Sosa, M., Karlsson, M. P., Wei, X. X., Frank, L. M. (2022). A Variable Clock Underlies Internally Generated Hippocampal Sequences. Journal of Neuroscience. (bioRxiv preprint Link)
Kriegeskorte, N.*, & Wei, X. X.* (2021). Neural tuning and representational geometry. Nature Reviews Neuroscience. (arxiv preprint:2104.09743. Link )
Gao, R., Xie, J., Wei, X.X., Zhu, S.C., Wu, Y.N. (2021) On Path Integration of Grid Cells: Group Representation and Isotropic Scaling, In Advances in neural information processing systems (NeurIPS). (ArXiv preprint. Link)
Zhou, D. & Wei, X. X. (2020) Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. In Advances in neural information processing systems (NeurIPS). Link
Cueva, C. J.*, Wang, P. Y.*, Chin, M.*, & Wei, X. X. (2020). Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks. International Conference on Learning Representations (ICLR, spotlight presentation). Link
Wei, X. X.*, Zhou, D.*, Grosmark, A., Ajabi, Z., Sparks, F., Zhou, P., Brandon, M., Losonczy, A., & Paninski, L. (2020). A zero-inflated gamma model for post-deconvolved calcium imaging traces. Published in Neurons, Behavior, Data analysis, and Theory (the NBDT journal). Link
Zhang, R.Y., Wei, X.X., and Kay, K. (2020). Understanding multivariate brain activity: evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging. PLOS Computational Biology 16.8: e1008153. Link
Earlier work
Cueva, C. J.,* & Wei, X. X*. (2018). Emergence of grid-like representations by training recurrent neural networks to perform spatial localization. International Conference on Learning Representations (ICLR). Link
Pollock, E., Desai, N., Wei, X.X.*, and Vijay Balasubramanian, V*. (2018). Dynamic self-organized error-correction of grid cells by border cells. arXiv preprint, arXiv:1808.0150. Link
Wei, X. X., & Stocker, A. A. (2017). Lawful relation between perceptual bias and discriminability. Proceedings of the National Academy of Sciences (PNAS), 114(38), 10244-10249. Link
Wei, X. X., & Stocker, A. A. (2016). Mutual information, Fisher information, and efficient coding. Neural Computation, 28(2), 305-326. Link
Wang, Z.*, Wei, X. X*., Stocker, A. A., & Lee, D. D. (2016). Efficient neural codes under metabolic constraints. In Advances in neural information processing systems (NeurIPS), pp. 4619-4627. Link
Wei, X. X., & Stocker, A. A. (2015). A Bayesian observer model constrained by efficient coding can explain ‘anti-Bayesian' percepts. Nature Neuroscience, 18(10), 1509. Link
Wei, X. X., Prentice, J., & Balasubramanian, V.B. (2015). A principle of economy predicts the functional architecture of grid cells. eLife, 4, e08362. Link Earlier arxiv version(in 2013)
Jacobs, J., Weidemann, C. T., Miller, J. F., Solway, A., Burke, J. F., Wei, X. X., ... & Kahana, M. J. (2013). Direct recordings of grid-like neuronal activity in human spatial navigation. Nature Neuroscience, 16(9), 1188-1190.
Wei, X. X., & Stocker, A. A. (2012). Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference. In Advances in neural information processing systems (NeurIPS), pp. 1304-1312. Link
Wei, X. X., & Stocker, A. A. (2012). Bayesian inference with efficient neural population codes. In International Conference on Artificial Neural Networks (pp. 523-530). Springer, Berlin, Heidelberg. Link