- J Miller, M Harrison (in press)
*Mixture models with a prior on the number of components.***Journal of the American Statistical Association**. - A Amarasingham, S Geman, M Harrison (2015)
*Ambiguity and non-identifiability in the statistical analysis of neural codes.***Proceedings of the National Academy of Sciences**, 112: 6455-6460. - M Harrison, A Amarasingham, W Truccolo (2015)
*Spatio-temporal conditional inference and hypothesis tests for neural ensemble spiking precision.***Neural Computation**, 27: 104-150. - J Miller, M Harrison (2014)
*Inconsistency of Pitman-Yor process mixtures for the number of components.***Journal of Machine Learning Research**, 15: 3333-3370. - W Truccolo, O Ahmed, M Harrison, E Eskandar, R Cosgrove, J Madsen, A Blum, NS Potter,
L Hochberg, S Cash (2014)
*Neuronal ensemble synchrony during human focal seizures.***Journal of Neuroscience**, 34: 9927-9944. - M Homer, J Perge, M Black, M Harrison, S Cash, L Hochberg (2014)
*Adaptive offset correction for intracortical brain computer interfaces.***IEEE Transactions on Neural Systems and Rehabilitation Engineering**, 22: 239-248. - J Miller, M Harrison (2013)
*A simple example of Dirichlet process mixture inconsistency for the number of components.***Advances in Neural Information Processing Systems (NIPS)**, 26. - J Miller, M Harrison (2013)
*Exact sampling and counting for fixed-margin matrices.***Annals of Statistics**, 41: 1569-1592. - M Harrison (2013)
*Accelerated spike resampling for accurate multiple testing controls.***Neural Computation**, 25: 418-449. - M Harrison (2012)
*Conservative hypothesis tests and confidence intervals using importance sampling.***Biometrika**, 99: 57-69. - A Amarasingham, M Harrison, N Hatsopoulos, S Geman (2012)
*Conditional modeling and the jitter method of spike re-sampling.***Journal of Neurophysiology**, 107: 517-531. - M Harrison, S Geman (2009)
*A rate and history-preserving resampling algorithm for neural spike trains.***Neural Computation**, 21: 1244-1258. - S Fujisawa, A Amarasingham, M Harrison, G Buzsaki (2008)
*Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex.***Nature Neuroscience**, 11: 823-833. - M Harrison, I Kontoyiannis (2008)
*Estimation of the rate-distortion function.***IEEE Transactions on Information Theory**, 54: 3757-3762. - M Harrison (2008)
*The generalized asymptotic equipartition property: Necessary and sufficient conditions.***IEEE Transactions on Information Theory**, 54: 3211-3216. - A Amarasingham, TL Chen, S Geman, M Harrison, D Sheinberg (2006)
*Spike count reliability and the Poisson hypothesis.***Journal of Neuroscience**, 26(3): 801-809.

- M. Burkhart, D. Brandman, C. Vargas-Irwin, M. Harrison (2016)
*The discriminative Kalman filter for nonlinear and non-Gaussian sequential Bayesian filtering.*arXiv:1608.06622. - M Harrison, J Miller (2013)
*Importance sampling for weighted binary random matrices with specified margins.*arXiv:1301.3928.

- J Miller, M Harrison (in press)
*Mixture models with a prior on the number of components.***Journal of the American Statistical Association**. [arXiv:1502.06241.] - A Amarasingham, S Geman, M Harrison (2015)
*Ambiguity and non-identifiability in the statistical analysis of neural codes.***Proceedings of the National Academy of Sciences**, 112: 6455- 6460. - M Harrison (2015)
*Significance evaluation.*In,**Encyclopedia of Computational Neuroscience**. Editors: D Jaeger, R Jung. Springer, 2695-2707. - M Harrison, A Amarasingham, W Truccolo (2015)
*Spatio-temporal conditional inference and hypothesis tests for neural ensemble spiking precision.***Neural Computation**, 27: 104-150. - J Miller, M Harrison (2014)
*Inconsistency of Pitman-Yor process mixtures for the number of components.***Journal of Machine Learning Research**, 15: 3333-3370. [arXiv:1309.0024.] - W Truccolo, O Ahmed, M Harrison, E Eskandar, R Cosgrove, J Madsen, A Blum, NS Potter,
L Hochberg, S Cash (2014)
*Neuronal ensemble synchrony during human focal seizures.***Journal of Neuroscience**, 34: 9927-9944. - M Homer, J Perge, M Black, M Harrison, S Cash, L Hochberg (2014)
*Adaptive offset correction for intracortical brain computer interfaces.***IEEE Transactions on Neural Systems and Rehabilitation Engineering**, 22: 239-248. - J Miller, M Harrison (2013)
*A simple example of Dirichlet process mixture inconsistency for the number of components.***Advances in Neural Information Processing Systems (NIPS)**, 26. [Full oral presentation at NIPS] [arXiv:1301.2708.] - M Homer, M Harrison, M Black, J Perge, S Cash, G Friehs, L Hochberg (2013)
*Mixed decoded cursor velocity and position from an offline Kalman filter improves cursor control in people with tetraplegia.***Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering.** - J Miller, M Harrison (2013)
*Exact sampling and counting for fixed-margin matrices.***Annals of Statistics**, 41: 1569-1592. [arXiv:1301.6635.] - M Harrison, A Amarasingham, R Kass (2013)
*Statistical identification of synchronous spiking.*In,**Spike Timing: Mechanisms and Function**. Editors: P Di Lorenzo, J Victor. Taylor & Francis, 77-120. [Google Books.] - M Harrison (2013)
*Accelerated spike resampling for accurate multiple testing controls.***Neural Computation**, 25: 418-449. - M Harrison (2012)
*Conservative hypothesis tests and confidence intervals using importance sampling.***Biometrika**, 99: 57-69. [Long version: arXiv:1004.2910.] - A Amarasingham, M Harrison, N Hatsopoulos, S Geman (2012)
*Conditional modeling and the jitter method of spike re-sampling.***Journal of Neurophysiology**, 107: 517-531. [Supplementary material: arXiv:1111.4296.] - J Miller, M Harrison (2010)
*A practical algorithm for exact inference on tables.***Proceedings of the 2010 Joint Statistical Meeting**. - M Harrison, S Geman (2009)
*A rate and history-preserving resampling algorithm for neural spike trains.***Neural Computation**, 21: 1244-1258. - S Fujisawa, A Amarasingham, M Harrison, G Buzsaki (2008)
*Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex.***Nature Neuroscience**, 11: 823-833. - M Harrison, I Kontoyiannis (2008)
*Estimation of the rate-distortion function.***IEEE Transactions on Information Theory**, 54: 3757-3762. [Long version: arXiv:cs/0702018.] - M Harrison (2008)
*The generalized asymptotic equipartition property: Necessary and sufficient conditions.***IEEE Transactions on Information Theory**, 54: 3211-3216. [Long version: arXiv:0711.2666.] - B Anderson, M Harrison, D Sheinberg (2006)
*A multielectrode study of IT in the monkey: Effects of grouping on spike rates and synchrony.***NeuroReport**, 17: 407-411. - A Amarasingham, TL Chen, S Geman, M Harrison, D Sheinberg (2006)
*Spike count reliability and the Poisson hypothesis.***Journal of Neuroscience**, 26(3): 801-809. - M Harrison, I Kontoyiannis (2006)
*On estimating the rate-distortion function.***Proceedings of the 2006 IEEE International Symposium on Information Theory**. - M Harrison (2005)
*Discovering compositional structures.***PhD Dissertation**. Brown University. - M Madiman, M Harrison, I Kontoyiannis (2004)
*Minimum description length vs. maximum likelihood in lossy data compression.***Proceedings of the 2004 IEEE International Symposium on Information Theory**. - M Harrison, I Kontoyiannis (2002)
*Maximum likelihood estimation for lossy data compression.***Proceedings of the 40th Allerton Conference on Communication, Control and Computing.** - N Hatsopoulos, M Harrison, J Donoghue (2001)
*Representations based on neuronal interactions in motor cortex.***Progress in Brain Research**, 130: 233-244. - P Stockmeyer, CD Bateman, J Clark, C Eyster, M Harrison, N Loehr, P Rodriguez, J Simmons (1995)
*Exchanging disks in the tower of Hanoi.***International Journal of Computer Mathematics**, 59:37-47.

- D. Brandman, M. Burkhart, T. Hosman, J. Saab, A. Sarma, D. Milstein, C. Vargas-Irwin, B. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
*Closed loop intracortical brain computer interface cursor control in people using a continuously updating Gaussian process decoder.***Society for Neuroscience (SFN)**, San Diego, CA. - D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, B. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
*Closed Loop Intracortical Brain Computer Interface Control in a Person with ALS Using a Filtered Gaussian Process Decoder.***American Neurological Assoc. Annual Meeting**, Baltimore, MD. - M. Ott, J. Hogan, N. Barnett, K. Gile, M. Harrison (2016)
*Fixed Choice Design and Augmented Fixed Choice Design for Missing Data in Social Networks.***2016 Joint Statistical Meetings (JSM)**, Chicago, IL. - M. Burkhart, D. Brandman, C. Vargas-Irwin, M. Harrison (2016)
*Nonparametric discriminative filtering for neural decoding.***ICSA Applied Statistics Symposium**, Atlanta, GA. - D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, F. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
*Intracortical brain computer interface control using Gaussian processes.***Dalhousie University Surgery Research Day**, Halifax, NS. - I. Petrovic, L. Roux, G. Buzsaki, M. Harrison (2016)
*Nonparametric inference of neural response with exact simultaneous confidence bands.***29th New England Statistics Symposium**, New Haven, CT. - D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, B. Franco, C. Blabe, J. Henderson, K. Shenoy, J. Donoghue, M. Harrison, L. Hochberg (2016)
*Closed loop intracortical brain computer interface control using Gaussian processes in a nonlinear, discriminative version of the Kalman filter.***9th World Congress for Neurorehabilitation**, Philadelphia, PA. - M. Harrison, A. Amarasingham, D. Nadkarni (2015)
*Robust inference for nonstationary spike trains.***2015 CRCNS PI Meeting**, Seattle, WA. - M Harrison, A Amarasingham, W Truccolo (2014)
*Robust inference for nonstationary spike trains.***2014 CRCNS PI Meeting**, Phoenix, AZ. - M Ott, K Gile, J Hogan, M Harrison (2014)
*Edge sampling probabilities in respondent-driven sampling.***2014 Joint Statistical Meetings (JSM)**, Boston, MA. - M Harrison (2014)
*Robust inference for nonstationary spike trains.***2014 Statistical Society of Canada Annual Meeting**. Toronto, Canada. - J Miller, M Harrison (2014)
*Combinatorial stochastic processes for variable-dimension models.***2014 New England Statistics Symposium**. Boston, MA. - D Klein, M Harrison (2014)
*Asymptotics of logistic regression with a bounded number of positive outcomes.***2014 New England Statistics Symposium**. Boston, MA. - W Truccolo, O Ahmed, M Harrison, E Eskandar, G Cosgrove, J Madsen, A Blum, N Potter, L Hochberg, S Cash (2013)
*Neuronal spiking synchrony in human focal seizures.***2013 Society for Neuroscience Annual Meeting**. San Diego, CA. - M Homer, M Harrison, J Perge, J Simeral, L Hochberg (2013)
*Decoding of target proximity improves estimation of attempted movement in people with tetraplegia.***2013 Society for Neuroscience Annual Meeting**. San Diego, CA. - M Harrison (2013)
*Robust inference for nonstationary spike trains.***Workshop: Quantifying Structure in Large Neural Datasets**. Grossman Center for the Statistics of Mind, Columbia University. New York, NY. - J Miller, M Harrison (2013)
*Posterior consistency for the number of components in a finite mixture.***2013 New England Machine Learning Day**. Cambridge, MA. - D Nadkarni, M Harrison (2013)
*The incidental parameter problem in network analysis for neural spiking data.***2013 New England Machine Learning Day**. Cambridge, MA. - D Klein, M Harrison (2013)
*Conditional inference for edge covariate effects in sparse networks.***2013 New England Statistics Symposium**. Storrs, CT. - J Miller, M Harrison (2013)
*Nonparametric Bayesian inference for the number of components in a finite mixture.***2013 New England Statistics Symposium**. Storrs, CT. - D Nadkarni, M Harrison (2013)
*Conditional inference for network analysis for neural spiking data: zero-lag synchrony.***2013 New England Statistics Symposium**. Storrs, CT. - J Miller, M Harrison (2012)
*Posterior consistency for the number of components in a finite mixture.***2012 NIPS Workshop on Modern Nonparametric Machine Learning**. Lake Tahoe, NV. - D Nadkarni, M Harrison (2012)
*The incidental parameter problem in network analysis for neural spiking data.***2012 Women in Machine Learning Workshop**. Lake Tahoe, NV. - M Homer, J Perge, M Harrison, M Black, L Hochberg (2012)
*A method for determining neural signal contributions to Kalman filter based decoding in intracortical brain computer interfaces.***Biomedical Engineering Society Annual Meeting (BMES) 2012**. Atlanta, Georgia. - M Homer, J Perge, M Harrison, M Black, L Hochberg (2012)
*Characterizing neural signal nonstationarities during operation of an intracortical brain computer interface by people with tetraplegia.***Annual Society for Neuroscience Meeting (SFN) 2012**. New Orleans, LA. - J Miller, M Harrison (2012)
*Dirichlet process mixtures are inconsistent for the number of components in a finite mixture.***ICERM Bayesian Nonparametrics Workshop**. Providence, RI. - M Harrison (2012)
*Conditional Inference for Learning the Network Structure of Cortical Microcircuits.***2012 Joint Statistical Meeting (JSM)**. San Diego, CA. - M Harrison (2012)
*Learning the Network Structure of Cortical Microcircuits using Conditional Inference.***8th World Congress in Probability and Statistics**. Istanbul, Turkey. - M Homer, J Perge, M Harrison, M Black, L Hochberg (2012)
*Detecting neural signal nonstationarities in intracortical brain computer interfaces using a model selection method.***6th International Workshop on Statistical Analysis of Neuronal Data (SAND6).**Pittsburgh, PA. - M Harrison (2012)
*Incidental parameter problems arising from the analysis of nonstationary neural point processes.***New England Statistics Symposium 2012.**Boston, MA. - M Harrison, S Geman (2011)
*Learning the network structure of cortical microcircuits.***IMA Workshop on Large Graphs: Modeling, Algorithms and Applications**. Minneapolis, MN. - S Ramachandran, D Nadkarni, M Harrison (2011)
*Detecting gene flow with low-dimensional summaries of genotype data.***Society of Molecular Biology and Evolution 2011 Annual Meeting**. Kyoto, Japan. - M Harrison (2011)
*Importance sampling for accelerated multiple testing and confidence intervals.***New England Statistics Symposium 2011**. Storrs, CT. - J Miller, M Harrison (2011)
*A practical algorithm for exact inference on tables.***New England Statistics Symposium 2011**. Storrs, CT.

IBM Thomas J. Watson Research Center Student Research Award - M Harrison (2010)
*Multi-scale multiple hypothesis testing for spike trains.***New England Statistics Symposium 2010**. Boston, MA. - M Harrison, A Amarasingham (2010)
*Multi-scale multiple hypothesis testing for spike trains.***ENAR 2010 Spring Meeting**. New Orleans, LA. - M Harrison, A Amarasingham, G Buzsaki (2008)
*Resampling-based methods for multiple hypothesis testing in neurophysiological data.***4th International Workshop on Statistical Analysis of Neuronal Data (SAND4)**. Pittsburgh, PA. - A Amarasingham, M Harrison, G Buzsaki (2008)
*Resampling techniques for the statistical investigation of neurophysiological data.***Computational and Systems Neuroscience (COSYNE) 2008**. Salt Lake City, UT. - M Harrison, A Amarasingham, S Geman (2007)
*Jitter methods for investigating the time scale of dependencies in neuronal firing patterns.***2007 Joint Statistical Meeting (JSM)**. Salt Lake City, UT. - A Amarasingham, M Harrison, S Geman (2007)
*Jitter methods for investigating spike train dependencies.***Computational and Systems Neuroscience (COSYNE) 2007**. Salt Lake City, UT. - M Harrison, A Amarasingham, S Geman (2006)
*Statistical methods for non-repeatable observations in neuroscience.***ICSA 2006 Applied Statistics Symposium**. Storrs, CT. - A Amarasingham, M Harrison, S Geman (2006)
*Statistical analysis of neuronal firing patterns with non-repeatable trials.***3rd Workshop on Statistical Analysis of Neuronal Data (SAND3)**. Pittsburgh, PA. - B Anderson, M Harrison, D Sheinberg (2006)
*Neuronal synchrony and visual grouping: A multi-electrode study in monkey IT.***Journal of Vision**, 6(6):65, 65a. - A Amarasingham, M Harrison, S Geman (2005)
*Statistical techniques for analyzing nonrepeating spike trains.***Annual Society for Neuroscience Meeting (SFN) 2005**. Washington, DC. - M Harrison (2005)
*Compositionality.***MSRI Emphasis Week on Perceptual Organization**. Berkeley, CA. - M Harrison (2005)
*Unsupervised learning of invariances using video.***MSRI Workshop on Visual Recognition**. Berkeley, CA. - M Harrison, S Geman (2004)
*Compositional feature detectors.***SIAM 2004 Conference on Imaging Science**. Salt Lake City, UT. - A Amarasingham, TL Chen, S Geman, M Harrison, D Sheinberg (2003)
*Spike count variability and the Poisson hypothesis.***Annual Computational Neuroscience Meeting (CNS)**. Alicante, Spain.

- J Miller, M Harrison (2011)
*Exact enumeration and sampling of matrices with specified margins.*arXiv:1104.0323. - M Harrison (2009)
*A dynamic programming approach for approximate uniform generation of binary matrices with specified margins.*arXiv:0906.1004.

J Miller, M Harrison (in press)
*Mixture models with a prior on the number of components.*
**Journal of the American Statistical Association**.
[arXiv:1502.06241.]

D. Brandman, M. Burkhart, T. Hosman, J. Saab, A. Sarma, D. Milstein, C. Vargas-Irwin, B. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
* Closed loop intracortical brain computer interface cursor control in people using a continuously updating Gaussian process decoder.*
** Society for Neuroscience (SFN)**, San Diego, CA.

D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, B. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
* Closed Loop Intracortical Brain Computer Interface Control in a Person with ALS Using a Filtered Gaussian Process Decoder.*
** American Neurological Assoc. Annual Meeting**, Baltimore, MD.

M. Burkhart, D. Brandman, C. Vargas-Irwin, M. Harrison (2016)
*The discriminative Kalman filter for nonlinear and non-Gaussian sequential Bayesian filtering.*
arXiv:1608.06622.

M. Ott, J. Hogan, N. Barnett, K. Gile, M. Harrison (2016)
* Fixed Choice Design and Augmented Fixed Choice Design for Missing Data in Social Networks.*
** 2016 Joint Statistical Meetings (JSM)**, Chicago, IL.

M. Burkhart, D. Brandman, C. Vargas-Irwin, M. Harrison (2016)
* Nonparametric discriminative filtering for neural decoding.*
** ICSA Applied Statistics Symposium**, Atlanta, GA.

D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, F. Franco, J. Donoghue, M. Harrison, L. Hochberg (2016)
* Intracortical brain computer interface control using Gaussian processes.*
** Dalhousie University Surgery Research Day**, Halifax, NS.

I. Petrovic, L. Roux, G. Buzsaki, M. Harrison (2016)
* Nonparametric inference of neural response with exact simultaneous confidence bands.*
** 29th New England Statistics Symposium**, New Haven, CT.

D. Brandman, M. Burkhart, D. Milstein, J. Saab, T. Hosman, A. Sarma, B. Franco, C. Blabe, J. Henderson, K. Shenoy, J. Donoghue, M. Harrison, L. Hochberg (2016)
* Closed loop intracortical brain computer interface control using Gaussian processes in a nonlinear, discriminative version of the Kalman filter.*
** 9th World Congress for Neurorehabilitation**, Philadelphia, PA.

Last updated *December 8, 2016*

© Matthew Harrison

Any opinions, findings, conclusions or recommendations expressed in this material or material obtained from this website are solely those of the author and do not necessarily reflect the views of Brown University, NSF, DARPA, NIH or any other sponsor.