Variational log‐Gaussian point‐process methods for grid cells

Stochastic variational inference for scalable non-stationary Gaussian process regression

(2023) Ionut Paun et al.   STATISTICS AND COMPUTING

Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells

(2023) Prannoy Chaudhuri-Vayalambrone et al.   Cell Reports

Locally ordered representation of 3D space in the entorhinal cortex

(2021) Gily Ginosar et al.   NATURE

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Grid cells are modulated by local head direction

(2020) Klara Gerlei et al.   Nature Communications

Grid-Cell Distortion along Geometric Borders

(2019) Martin Hägglund et al.   CURRENT BIOLOGY

Neural field models for latent state inference: Application to large-scale neuronal recordings

(2019) Michael E. Rule et al.   PLoS Computational Biology

Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methods

(2018) Kamiar Rahnama Rad et al.   NETWORK-COMPUTATION IN NEURAL SYSTEMS

Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression

(2018) David M. Brandman et al.   NEURAL COMPUTATION

Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations

(2018) Michael Rule et al.   NEURAL COMPUTATION

Environmental deformations dynamically shift the grid cell spatial metric

(2018) Alexandra T Keinath et al.   eLife

Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains

(2017) Yuan Zhao et al.   NEURAL COMPUTATION

Ten Years of Grid Cells

(2016) David C. Rowland et al.   Annual Review of Neuroscience

From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining

(2016) Wilson Truccolo   JOURNAL OF PHYSIOLOGY-PARIS

Sparse Approximate Inference for Spatio-Temporal Point Process Models

(2016) Botond Cseke et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors

(2014) Mijung Park et al.   NEURAL COMPUTATION

Fitting very large sparse Gaussian graphical models

(2012) Harri Kiiveri et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A map of visual space in the primate entorhinal cortex

(2012) Nathaniel J. Killian et al.   NATURE

Reduction of Theta Rhythm Dissociates Grid Cell Spatial Periodicity from Directional Tuning

(2011) M. P. Brandon et al.   SCIENCE

Development of the Spatial Representation System in the Rat

(2010) R. F. Langston et al.   SCIENCE

Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity

(2009) Byron M. Yu et al.   JOURNAL OF NEUROPHYSIOLOGY