Applied Mathematics

Matthew Harrison

Associate Professor of Applied Mathematics, Director of Undergraduate Studies
Room 327, 182 George Street
Office Hours: By appointment

Biography

Ph.D., Brown University, 2005 

Research Interests

  • Conditional inference
  • Robust inference
  • Statistical methods in neuroscience
  • Random graphs and tables
  • Nonstationary time series
  • Bayesian nonparametrics
  • Multiple hypothesis testing
  • Importance sampling
  • Perceptual organization

 

Publications

J Miller, M Harrison (to appear) Inconsistency of Pitman-Yor process mixtures for the number of components. Journal of Machine Learning Research.

M Harrison, A Amarasingham, W Truccolo (to appear) Spatio-temporal conditional inference and hypothesis tests for neural ensemble spiking precision. Neural Computation.

W Truccolo, O Ahmed, M Harrison, E Eskandar, R Cosgrove, J Madsen, A Blum, NS Potter, L Hochberg, S Cash (to appear) Neuronal ensemble synchrony during human focal seizures. Journal of Neuroscience. 

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.