A common goodness-of-fit framework for neural population models using marked point process time-rescaling

Inferring oscillatory modulation in neural spike trains

(2017) Kensuke Arai et al.   PLoS Computational Biology

Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes

(2016) Danaipat Sodkomkham et al.   KNOWLEDGE-BASED SYSTEMS

Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter

(2015) Xinyi Deng et al.   NEURAL COMPUTATION

A point process approach to identifying and tracking transitions in neural spiking dynamics in the subthalamic nucleus of Parkinson's patients

(2013) Xinyi Deng et al.   CHAOS

An empirical study of tests for uniformity in multidimensional data

(2013) Adam Petrie et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Bayesian decoding using unsorted spikes in the rat hippocampus

(2013) Fabian Kloosterman et al.   JOURNAL OF NEUROPHYSIOLOGY

Neural population partitioning and a concurrent brain-machine interface for sequential motor function

(2012) Maryam M Shanechi et al.   NATURE NEUROSCIENCE

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

(2011) Felipe Gerhard et al.   NEURAL COMPUTATION

A General Likelihood Framework for Characterizing the Time Course of Neural Activity

(2011) Michael J. Prerau et al.   NEURAL COMPUTATION

A multivariate uniformity test for the case of unknown support

(2011) José R. Berrendero et al.   STATISTICS AND COMPUTING

Statistical Inference for Assessing Functional Connectivity of Neuronal Ensembles With Sparse Spiking Data

(2010) Zhe Chen et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1

(2009) Yifei Huang et al.   NEURAL COMPUTATION

Spatio-temporal correlations and visual signalling in a complete neuronal population

(2008) Jonathan W. Pillow et al.   NATURE