Maximally informative dimensions

Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a… (More)
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Topic mentions per year

2002-2015
0120022015

Papers overview

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2015
2015
Stimulus dimensionality-reduction methods in neuroscience seek to identify a low-dimensional space of stimulus features that… (More)
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2013
2013
We present a novel non-parametric method for finding a subspace of stimulus features that contains all information about the… (More)
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2011
2011
Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC… (More)
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Highly Cited
2004
Highly Cited
2004
We propose a method that allows for a rigorous statistical analysis of neural responses to natural stimuli that are nongaussian… (More)
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2002
2002
We propose a method that would allow for a rigorous statistical analysis of neural responses to natural stimuli, which are non… (More)
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