FAQ

Maximally informative dimensions

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

Topic mentions per year

Topic mentions per year

2002-2015
0120022015

Related topics

Related topics

8 relations
Action potentialDimensionality reductionDirac delta functionMutual information
(More)

Broader (1)

Computational neuroscience

Related mentions per year

Related mentions per year

1939-2018
19401960198020002020
Maximally informative dimensions
Action potential
Dimensionality reduction
Mutual information
White noise
Neural coding

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction
Stimulus dimensionality-reduction methods in neuroscience seek to identify a low-dimensional space of stimulus features that… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2013
2013
Least Informative Dimensions
We present a novel non-parametric method for finding a subspace of stimulus features that contains all information about the… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2011
2011
Second Order Dimensionality Reduction Using Minimum and Maximum Mutual Information Models
Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions
We propose a method that allows for a rigorous statistical analysis of neural responses to natural stimuli that are nongaussian… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2002
2002
Maximally Informative Dimensions: Analyzing Neural Responses to Natural Signals
We propose a method that would allow for a rigorous statistical analysis of neural responses to natural stimuli, which are non… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?