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Maximally informative dimensions

Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a… 
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Papers overview

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2015
2015
In this paper, ordered categorical and dichotomous data are used in generalized nonlinear canonical correlation analysis to study… 
2014
2014
The sensory nervous system converts external stimuli into electrical signals that are used to process and transmit information… 
2013
2013
We present a novel non-parametric method for finding a subspace of stimulus features that contains all information about the… 
2013
2013
Stimulus dimensionality-reduction methods in neuroscience seek to identify a low-dimensional space of stimulus features that… 
Review
2011
Review
2011
  • 2011
  • Corpus ID: 41165683
Group testing, where groups of individual specimens are composited to test for a binary outcome, is a procedure used to reduce… 
2010
2010
Social networks analysis is particularly promising from a theoretical point of view, but it is also very difficult to set up… 
2008
2008
« Mais attendu que la mention, sur les bulletins de paie, des droits a repos nes de la bonification beneficiant au salarie au… 
2002
2002
We propose a method that allows for a rigorous statistical analysis of neural responses to natural stimuli, which are non…