Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings

Detecting joint pausiness in parallel spike trains

(2017) Matthias Gärtner et al.   JOURNAL OF NEUROSCIENCE METHODS

High dimensional change point estimation via sparse projection

(2017) Tengyao Wang et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Perceptual Decision Making in Rodents, Monkeys, and Humans

(2017) Timothy D. Hanks et al.   NEURON

A survey of methods for time series change point detection

(2016) Samaneh Aminikhanghahi et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Representational changes of latent strategies in rat medial prefrontal cortex precede changes in behaviour

(2016) Nathaniel James Powell et al.   Nature Communications

Identifying localized changes in large systems: Change-point detection for biomolecular simulations

(2015) Zhou Fan et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Single-trial spike trains in parietal cortex reveal discrete steps during decision-making

(2015) K. W. Latimer et al.   SCIENCE

Wild binary segmentation for multiple change-point detection

(2014) Piotr Fryzlewicz   ANNALS OF STATISTICS

Multiple-change-point detection for high dimensional time series via sparsified binary segmentation

(2014) Haeran Cho et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Estimating turning points using large data sets

(2013) James H. Stock et al.   JOURNAL OF ECONOMETRICS

A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data

(2013) David S. Matteson et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Evaluating stationarity via change-point alternatives with applications to fMRI data

(2012) John A. D. Aston et al.   Annals of Applied Statistics

Change-point analysis in increasing dimension

(2012) Moritz Jirak   JOURNAL OF MULTIVARIATE ANALYSIS

Abrupt Transitions between Prefrontal Neural Ensemble States Accompany Behavioral Transitions during Rule Learning

(2010) Daniel Durstewitz et al.   NEURON