Kernel methods on spike train space for neuroscience: a tutorial
Over the last decade, several positive-definite kernels have been proposed to treat spike
trains as objects in Hilbert space. However, for the most part, such attempts still remain a …
trains as objects in Hilbert space. However, for the most part, such attempts still remain a …
Strictly positive-definite spike train kernels for point-process divergences
Exploratory tools that are sensitive to arbitrary statistical variations in spike train
observations open up the possibility of novel neuroscientific discoveries. Developing such …
observations open up the possibility of novel neuroscientific discoveries. Developing such …
Conditional association
S Seth, JC Príncipe - Neural computation, 2012 - ieeexplore.ieee.org
Estimating conditional dependence between two random variables given the knowledge of
a third random variable is essential in neuroscientific applications to understand the causal …
a third random variable is essential in neuroscientific applications to understand the causal …
A metric approach toward point process divergence
S Seth, AJ Brockmeier… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Estimating divergence between two point processes, ie probability laws on the space of
spike trains, is an essential tool in many computational neuroscience applications, such as …
spike trains, is an essential tool in many computational neuroscience applications, such as …
[图书][B] On nonparametric measures of dependence and conditional independence: Theory and applications
S Seth - 2011 - search.proquest.com
Abstract “Does greenhouse gas emission cause global warming?”,“Does gas price depend
on supply and demand?”,“Does stress cause depression?”,“Does productivity depend on …
on supply and demand?”,“Does stress cause depression?”,“Does productivity depend on …