activity
20132022
most citedEmergence of grid-like representations by training recurrent neural networks to perform spatial localization

203 citations · 427 across the 9 of their papers we have counts for

collaborators

9 papers

q-bio.NC2022★ 9 cited

Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells

Dehong Xu, Ruiqi Gao, Wen-Hao Zhang +2

The activity of the grid cell population in the medial entorhinal cortex (MEC) of the mammalian brain forms a vector representation of the self-position of the animal. Recurrent ne…

q-bio.NC2021★ 8 cited

Neural tuning and representational geometry

Nikolaus Kriegeskorte, Xue-Xin Wei

A central goal of neuroscience is to understand the representations formed by brain activity patterns and their connection to behavior. The classical approach is to investigate how…

stat.ML2020★ 48 cited

Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE

Ding Zhou, Xue-Xin Wei

The ability to record activities from hundreds of neurons simultaneously in the brain has placed an increasing demand for developing appropriate statistical techniques to analyze s…

q-bio.NC2020★ 14 cited

A zero-inflated gamma model for deconvolved calcium imaging traces

Xue-Xin Wei, Ding Zhou, Andres Grosmark +6

Calcium imaging is a critical tool for measuring the activity of large neural populations. Much effort has been devoted to developing "pre-processing" tools for calcium video data,…

q-bio.NC2020★ 3 cited

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling

Ruiqi Gao, Jianwen Xie, Xue-Xin Wei +2

Understanding how grid cells perform path integration calculations remains a fundamental problem. In this paper, we conduct theoretical analysis of a general representation model o…

q-bio.NC2019★ 26 cited

Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks

Christopher J. Cueva, Peter Y. Wang, Matthew Chin +1

Recent work suggests goal-driven training of neural networks can be used to model neural activity in the brain. While response properties of neurons in artificial neural networks b…

q-bio.NC2018

Dynamic self-organized error-correction of grid cells by border cells

Eli Pollock, Niral Desai, Xue-Xin Wei +1

Grid cells in the entorhinal cortex are believed to establish their regular, spatially correlated firing patterns by path integration of the animal's motion. Mechanisms for path in…

q-bio.NC2018★ 203 cited

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

Christopher J. Cueva, Xue-Xin Wei

Decades of research on the neural code underlying spatial navigation have revealed a diverse set of neural response properties. The Entorhinal Cortex (EC) of the mammalian brain co…

q-bio.NC2013★ 116 cited

The Sense of Place: Grid Cells in the Brain and the Transcendental Number e

Xue-Xin Wei, Jason Prentice, Vijay Balasubramanian

Grid cells in the brain respond when an animal occupies a periodic lattice of "grid fields" during spatial navigation. The grid scale varies along the dorso-ventral axis of the ent…