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Neural Computation|November 21, 2008
A rate and history-preserving resampling algorithm for neural spike trainsMatthew T Harrison, Stuart GemanProceedings of the National Academy of Sciences of the United States of America|May 3, 2015
Ambiguity and nonidentifiability in the statistical analysis of neural codesAsohan Amarasingham, Stuart Geman, Matthew T HarrisonJournal of Neurophysiology|October 28, 2011
Conditional modeling and the jitter method of spike resamplingAsohan Amarasingham, Matthew T Harrison, Nicholas G Hatsopoulos, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 20, 2006
Spike count reliability and the Poisson hypothesisAsohan Amarasingham, Ting-Li Chen, Stuart Geman, et al.Journal of Physiology, Paris|March 6, 2007
Invariance and selectivity in the ventral visual pathwayStuart GemanPhysical Review. E|September 18, 2020
Capacities and efficient computation of first-passage probabilitiesJackson Loper, Guangyao Zhou, Stuart GemanBMC Bioinformatics|December 14, 2019
Base-pair ambiguity and the kinetics of RNA foldingGuangyao Zhou, Jackson Loper, Stuart GemanProceedings of the National Academy of Sciences of the United States of America|March 11, 2015
Visual Turing test for computer vision systemsDonald Geman, Stuart Geman, Neil Hallonquist, et al.Biometrika|October 11, 2012
Conservative hypothesis tests and confidence intervals using importance samplingMatthew T HarrisonIEEE Transactions on Information Theory|May 27, 2011
The Generalized Asymptotic Equipartition Property: Necessary and Sufficient ConditionsMatthew T HarrisonPageof 5