Matthew T. Harrison

发表

An Exact Jitter Method using Dynamic Programming

Stuart Geman, Matthew T. Harrison, 2004 .

The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models

Michael C. Burkhart, Leigh R. Hochberg, David M. Brandman, 2020, Neural Computation.

A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains

Stuart Geman, Matthew T. Harrison, S. Geman, 2009, Neural Computation.

A simple example of Dirichlet process mixture inconsistency for the number of components

Matthew T. Harrison, Jeffrey W. Miller, Jeffrey W. Miller, 2013, NIPS.

On Estimating the Rate-Distortion Function

Ioannis Kontoyiannis, Matthew T. Harrison, 2006, 2006 IEEE International Symposium on Information Theory.

Erratum: Measurements of methane emissions at natural gas production sites in the United States (Proceedings of the National Academy of Sciences of the United States of America (2013) 110 (17768-17773) DOI: 10.1073/pnas.1304880110)

Robert F. Sawyer, Jennifer L. Miskimins, Scott C. Herndon, 2013 .

Using Statistics of Natural Images to Facilitate Automatic Receptive Field Analysis

Elie Bienenstock, Stuart Geman, Matthew T. Harrison, 2004 .

Minimum description length vs. maximum likelihood in lossy data compression

Mokshay Madiman, Ioannis Kontoyiannis, Matthew T. Harrison, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

Exchanging disks in the tower of hanoi

Paul K. Stockmeyer, Nicholas A. Loehr, Matthew T. Harrison, 1995, Int. J. Comput. Math..

The Generalized Asymptotic Equipartition Property: Necessary and Sufficient Conditions

Matthew T. Harrison, 2008, IEEE Transactions on Information Theory.

Estimation of the Rate–Distortion Function

Ioannis Kontoyiannis, Matthew T. Harrison, Ioannis Kontoyiannis, 2007, IEEE Transactions on Information Theory.

Accelerated Spike Resampling for Accurate Multiple Testing Controls

Matthew T. Harrison, 2013, Neural Computation.

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

Michael C. Burkhart, Leigh R. Hochberg, David M. Brandman, 2018, Neural Computation.

Significance Evaluation

Matthew T. Harrison, 2014, Encyclopedia of Computational Neuroscience.

Nonlinear vibrations analysis in acoustics.

Joseph. Petrolito, Matthew T. Harrison, K. A. Legge, 2007 .

Exact Enumeration and Sampling of Matrices with Specified Margins pdf

Matthew T. Harrison, Jeffrey W. Miller, Jeffrey W. Miller, 2011, ArXiv.

Statistical Identification of Synchronous Spiking

Asohan Amarasingham, Robert E. Kass, Matthew T. Harrison, 2013 .

The statistical analysis of temporal resolution in the nervous system

Asohan Amarasingham, Stuart Geman, Matthew T. Harrison, 2008 .

Inconsistency of Pitman-Yor process mixtures for the number of components

Matthew T. Harrison, Jeffrey W. Miller, Jeffrey W. Miller, 2013, J. Mach. Learn. Res..

Adaptive Offset Correction for Intracortical Brain–Computer Interfaces

Michael J. Black, Leigh R. Hochberg, Sydney S. Cash, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in Mauritius

Joseph W. Hogan, Miles Q. Ott, Krista J. Gile, 2017, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Conditional Modeling and the Jitter Method of Spike Re-sampling: Supplement

Nicholas G. Hatsopoulos, Asohan Amarasingham, Stuart Geman, 2011, 1111.4296.

Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method

Sameer A. Sheth, David A. Borton, Matthew T. Harrison, 2020, bioRxiv.

Mixing decoded cursor velocity and position from an offline Kalman filter improves cursor control in people with tetraplegia

Michael J. Black, Leigh R. Hochberg, Sydney S. Cash, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision

Asohan Amarasingham, Wilson A. Truccolo, Matthew T. Harrison, 2015, Neural Computation.

Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method

Sameer A. Sheth, David A. Borton, Matthew T. Harrison, 2021, Cell reports methods.

Importance sampling for weighted binary random matrices with specified margins

Matthew T. Harrison, Jeffrey W. Miller, M. Harrison, 2013, 1301.3928.

of Statistics and Its Application Computational Neuroscience : Mathematical and Statistical Perspectives

Emery N. Brown, Sonja Grün, Tomoki Fukai, 2018 .

The discriminative Kalman filter for nonlinear and non-Gaussian sequential Bayesian filtering

Michael C. Burkhart, David M. Brandman, Carlos E. Vargas-Irwin, 2016 .

The Convergence of Lossy Maximum Likelihood Estimators

Matthew T. Harrison, 2003 .

A Dynamic Programming Approach for Approximate Uniform Generation of Binary Matrices with Specified Margins

Matthew T. Harrison, 2009 .

Maximum Likelihood Estimation for Lossy Data Compression

Ioannis Kontoyiannis, Matthew T. Harrison, 2002 .

Exact sampling and counting for fixed-margin matrices

Matthew T. Harrison, Jeffrey W. Miller, M. Harrison, 2013, 1301.6635.