Selective publications

* = equal contribution


Hahn, M., & Wei, X.X. (2024). A unifying theory explains seemingly contradictory biases in perceptual estimation.  Nature Neuroscience,  Link.  (bioRxiv preprint  LinkSupplementary Material)


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 


Kriegeskorte, N.*, & Wei, X. X.* (2021). Neural tuning and representational geometry. Nature Reviews Neuroscience. (arxiv preprint:2104.09743. 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.,* & 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


Wei, X. X., & Stocker, A. A. (2017). Lawful relation between perceptual bias and discriminability. Proceedings of the National Academy of Sciences, 114(38), 10244-10249. 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)



All publications


O'Shea, R.T., Nauhaus, I., Wei, X.X., Priebe, N. J. (2024). Luminance invariant encoding in primary visual cortex. bioRxiv preprint, 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.


Hahn, M., & Wei, X.X. (2024). A unifying theory explains seemingly contradictory biases in perceptual estimation.  Nature Neuroscience,  Link.  (bioRxiv preprint  LinkSupplementary Material)


Redman, W.T.*, Acosta-Mendoza, S.*. Wei, X.X., Goard, M. J. (2024). Robust variability of grid cell properties within individual grid modules enhances encoding of local space. bioRxiv preprint, Link


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 


Wei, X.X., & Woodford, M. (2023). Representational geometry explains puzzling error distributions in behavioral tasks.  bioRxiv preprint  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 ScalingIn 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


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


Earlier work

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, 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