Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function.
about
Visual nonclassical receptive field effects emerge from sparse coding in a dynamical systemSpecificity and timescales of cortical adaptation as inferences about natural movie statisticsDynamic coding of signed quantities in cortical feedback circuitsA Hierarchical Predictive Coding Model of Object Recognition in Natural Images.The impact on midlevel vision of statistically optimal divisive normalization in V1.A single functional model of drivers and modulators in cortex.Classification using sparse representations: a biologically plausible approach.Predictive coding as a model of cognition.Multinomial Bayesian learning for modeling classical and nonclassical receptive field properties.Sensory Processing Across Conscious and Nonconscious Brain States: From Single Neurons to Distributed Networks for Inferential Representation
P2860
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P2860
Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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name
Unsupervised learning of gener ...... ng model of cortical function.
@en
Unsupervised learning of gener ...... ng model of cortical function.
@nl
type
label
Unsupervised learning of gener ...... ng model of cortical function.
@en
Unsupervised learning of gener ...... ng model of cortical function.
@nl
prefLabel
Unsupervised learning of gener ...... ng model of cortical function.
@en
Unsupervised learning of gener ...... ng model of cortical function.
@nl
P2860
P356
P1433
P1476
Unsupervised learning of gener ...... ng model of cortical function.
@en
P2093
M W Spratling
P2860
P304
P356
10.1162/NECO_A_00222
P577
2011-10-24T00:00:00Z