A novel family of non-parametric cumulative based divergences for point processes
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Austin J. Brockmeier | José Carlos Príncipe | Sohan Seth | Joseph T. Francis | John S. Choi | Il Park | Mulugeta Semework | J. Príncipe | J. Francis | S. Seth | A. Brockmeier | Mulugeta Semework | I. Park
[1] Hatim A. Zariwala,et al. Neural correlates, computation and behavioural impact of decision confidence , 2008, Nature.
[2] José Carlos Príncipe,et al. Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[3] R. Johansson,et al. First spikes in ensembles of human tactile afferents code complex spatial fingertip events , 2004, Nature Neuroscience.
[4] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .
[5] R. Reid,et al. Precise Firing Events Are Conserved across Neurons , 2002, The Journal of Neuroscience.
[6] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[7] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[8] T. W. Anderson. On the Distribution of the Two-Sample Cramer-von Mises Criterion , 1962 .
[9] G. Fasano,et al. A multidimensional version of the Kolmogorov–Smirnov test , 1987 .
[10] William Bialek,et al. Spikes: Exploring the Neural Code , 1996 .
[11] M. DeWeese,et al. Binary Spiking in Auditory Cortex , 2003, The Journal of Neuroscience.
[12] Don H. Johnson,et al. Information-Theoretic Analysis of Neural Coding , 2004, Journal of Computational Neuroscience.
[13] Jonathan D Victor,et al. Spike train metrics , 2005, Current Opinion in Neurobiology.
[14] Stefan Rotter,et al. Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons , 2003, Neural Computation.
[15] Stefan Rotter,et al. Measurement of variability dynamics in cortical spike trains , 2008, Journal of Neuroscience Methods.
[16] Sander M. Bohte,et al. Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity , 2007, Neural Computation.
[17] T. Sejnowski,et al. Regulation of spike timing in visual cortical circuits , 2008, Nature Reviews Neuroscience.