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Hippocampal “Time Cells” Bridge the Gap in Memory for Discontiguous Events

Neuron (Cambridge, Mass.), 2011-08, Vol.71 (4), p.737-749

2011

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Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling

Neural computation, 2020-11, Vol.32 (11), p.2145-2186

2020

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Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice

Neuron (Cambridge, Mass.), 2021-10, Vol.109 (19), p.3149-3163.e6

2021

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Human seizures self-terminate across spatial scales via a critical transition

Proceedings of the National Academy of Sciences - PNAS, 2012-12, Vol.109 (51), p.21116-21121

2012

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A state space modeling approach to real-time phase estimation

eLife, 2021-09, Vol.10

2021

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A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects

Journal of neurophysiology, 2005-02, Vol.93 (2), p.1074-1089

2005

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Hippocampal replay of experience at real-world speeds

eLife, 2021-09, Vol.10

2021

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

Neural computation, 2015-07, Vol.27 (7), p.1438-1460

2015

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Measuring the signal-to-noise ratio of a neuron

Proceedings of the National Academy of Sciences - PNAS, 2015-06, Vol.112 (23), p.7141-7146

2015

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Emergence of persistent networks in long-term intracranial EEG recordings

The Journal of neuroscience, 2011-11, Vol.31 (44), p.15757-15767

2011

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Drawing inferences from Fano factor calculations

Journal of neuroscience methods, 2010-06, Vol.190 (1), p.149-152

2010

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Integrating Statistical and Machine Learning Approaches for Neural Classification

IEEE access, 2022, Vol.10, p.1-1

2022

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A unified approach to linking experimental, statistical and computational analysis of spike train data

PloS one, 2014-01, Vol.9 (1), p.e85269-e85269

2014

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Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

Neural computation, 2004-05, Vol.16 (5), p.971-998

2004

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Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy

NeuroImage clinical, 2022-01, Vol.33, p.102956-102956, Article 102956

2022

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COMPASS: An Open-Source, General-Purpose Software Toolkit for Computational Psychiatry

Frontiers in neuroscience, 2019-01, Vol.12, p.957-957

2019

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A statistical framework to assess cross-frequency coupling while accounting for confounding analysis effects

eLife, 2019-10, Vol.8

2019

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Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

IEEE transactions on biomedical engineering, 2010-06, Vol.57 (6), p.1297-1305

2010

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Dynamic models of obstructive sleep apnea provide robust prediction of respiratory event timing and a statistical framework for phenotype exploration

Sleep (New York, N.Y.), 2022-12, Vol.45 (12), p.1

2022

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Spike ripples in striatum correlate with seizure risk in two mouse models

Epilepsy & behavior reports, 2022-01, Vol.18, p.100529-100529, Article 100529

2022

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Bayesian decoding of neural spike trains

Annals of the Institute of Statistical Mathematics, 2010-02, Vol.62 (1), p.37-59

2010

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Analysis of Neural Data

2014, 2014

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Focal Sleep Spindle Deficits Reveal Focal Thalamocortical Dysfunction and Predict Cognitive Deficits in Sleep Activated Developmental Epilepsy

The Journal of neuroscience, 2021-02, Vol.41 (8), p.1816-1829

2021

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Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes

Brain (London, England : 1878), 2019-05, Vol.142 (5), p.1296-1309

2019

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Sleep spindles in the healthy brain from birth through 18 years

Sleep (New York, N.Y.), 2023-04, Vol.46 (4), p.1

2023

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Hippocampal “Time Cells” Bridge the Gap in Memory for Discontiguous Events

Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling

Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice

Human seizures self-terminate across spatial scales via a critical transition

A state space modeling approach to real-time phase estimation

A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects

Hippocampal replay of experience at real-world speeds

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

Measuring the signal-to-noise ratio of a neuron

Emergence of persistent networks in long-term intracranial EEG recordings

Drawing inferences from Fano factor calculations

Integrating Statistical and Machine Learning Approaches for Neural Classification

A unified approach to linking experimental, statistical and computational analysis of spike train data

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy

COMPASS: An Open-Source, General-Purpose Software Toolkit for Computational Psychiatry

A statistical framework to assess cross-frequency coupling while accounting for confounding analysis effects

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Dynamic models of obstructive sleep apnea provide robust prediction of respiratory event timing and a statistical framework for phenotype exploration

Spike ripples in striatum correlate with seizure risk in two mouse models

Bayesian decoding of neural spike trains

Analysis of Neural Data

Focal Sleep Spindle Deficits Reveal Focal Thalamocortical Dysfunction and Predict Cognitive Deficits in Sleep Activated Developmental Epilepsy

Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes

Sleep spindles in the healthy brain from birth through 18 years

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