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Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

eLife, 2018-02, Vol.7

2018

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Inferring oscillatory modulation in neural spike trains

PLoS computational biology, 2017-10, Vol.13 (10), p.e1005596-e1005596

2017

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Ten Simple Rules for Effective Statistical Practice

PLoS computational biology, 2016-06, Vol.12 (6), p.e1004961-e1004961

2016

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Importance sampling: a review

Wiley interdisciplinary reviews. Computational statistics, 2010-01, Vol.2 (1), p.54-60

2010

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Cross-population coupling of neural activity based on Gaussian process current source densities

PLoS computational biology, 2021-11, Vol.17 (11), p.e1009601-e1009601

2021

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Functional network reorganization during learning in a brain-computer interface paradigm

Proceedings of the National Academy of Sciences - PNAS, 2008-12, Vol.105 (49), p.19486-19491

2008

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Statistical Issues in the Analysis of Neuronal Data

Journal of neurophysiology, 2005-07, Vol.94 (1), p.8-25

2005

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Trial time warping to discriminate stimulus-related from movement-related neural activity

Journal of neuroscience methods, 2013-01, Vol.212 (2), p.203-210

2013

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The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis

Neural computation, 2002-02, Vol.14 (2), p.325-346

2002

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Establishing a Statistical Link between Network Oscillations and Neural Synchrony

PLoS computational biology, 2015-10, Vol.11 (10), p.e1004549-e1004549

2015

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Local field potentials indicate network state and account for neuronal response variability

Journal of computational neuroscience, 2010-12, Vol.29 (3), p.567-579

2010

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Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control

Journal of computational neuroscience, 2010-08, Vol.29 (1-2), p.73-87

2010

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The Selection of Prior Distributions by Formal Rules

Journal of the American Statistical Association, 1996-09, Vol.91 (435), p.1343-1370

1996

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A Conversation with Stephen M. Stigler

Statistical science, 2024-02, Vol.39 (1), p.192

2024

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Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods

International journal of psychophysiology, 2004-07, Vol.53 (2), p.105-119

2004

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Networks of VTA Neurons Encode Real-Time Information about Uncertain Numbers of Actions Executed to Earn a Reward

Frontiers in behavioral neuroscience, 2017-08, Vol.11, p.140-140

2017

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A Spike-Train Probability Model

Neural computation, 2001-08, Vol.13 (8), p.1713-1720

2001

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A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons

Neural computation, 2012-08, Vol.24 (8), p.2007-2032

2012

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Latent inputs improve estimates of neural encoding in motor cortex

The Journal of neuroscience, 2010-10, Vol.30 (41), p.13873-13882

2010

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Statistical Inference: The Big Picture

Statistical science, 2011-02, Vol.26 (1), p.1-9

Kass, Robert E.

2011

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Identification of interacting neural populations: methods and statistical considerations

Journal of neurophysiology, 2023-09, Vol.130 (3), p.475

2023

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An Empirical Model for Reliable Spiking Activity

Neural computation, 2015-08, Vol.27 (8), p.1609-1623

2015

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Detection of bursts in extracellular spike trains using hidden semi-Markov point process models

Journal of computational neuroscience, 2010-08, Vol.29 (1-2), p.203-212

2010

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A MULTIVARIATE GAUSSIAN PROCESS FACTOR MODEL FOR HAND SHAPE DURING REACH-TO-GRASP MOVEMENTS

Statistica Sinica, 2015-01, Vol.25 (1), p.5-24

2015

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Nonconjugate Bayesian Estimation of Covariance Matrices and its Use in Hierarchical Models

Journal of the American Statistical Association, 1999-12, Vol.94 (448), p.1254-1263

1999

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Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Inferring oscillatory modulation in neural spike trains

Ten Simple Rules for Effective Statistical Practice

Importance sampling: a review

Cross-population coupling of neural activity based on Gaussian process current source densities

Functional network reorganization during learning in a brain-computer interface paradigm

Statistical Issues in the Analysis of Neuronal Data

Trial time warping to discriminate stimulus-related from movement-related neural activity

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis

Establishing a Statistical Link between Network Oscillations and Neural Synchrony

Local field potentials indicate network state and account for neuronal response variability

Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control

The Selection of Prior Distributions by Formal Rules

A Conversation with Stephen M. Stigler

Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods

Networks of VTA Neurons Encode Real-Time Information about Uncertain Numbers of Actions Executed to Earn a Reward

A Spike-Train Probability Model

A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons

Latent inputs improve estimates of neural encoding in motor cortex

Statistical Inference: The Big Picture

Identification of interacting neural populations: methods and statistical considerations

An Empirical Model for Reliable Spiking Activity

Detection of bursts in extracellular spike trains using hidden semi-Markov point process models

A MULTIVARIATE GAUSSIAN PROCESS FACTOR MODEL FOR HAND SHAPE DURING REACH-TO-GRASP MOVEMENTS

Nonconjugate Bayesian Estimation of Covariance Matrices and its Use in Hierarchical Models

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