Identifying functional bases for multidimensional neural computations.

Identifying functional bases for multidimensional neural computations.

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http://www.wikidata.org/entity/Q36902042
A Convolutional Subunit Model for Neuronal Responses in Macaque V1How Invariant Feature Selectivity Is Achieved in CortexSpike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the RetinaCentral auditory neurons display flexible feature recombination functionsUnderstanding spike-triggered covariance using Wiener theory for receptive field identification.Cross-orientation suppression in visual area V2Computational identification of receptive fields.Analysis of Neuronal Spike Trains, Deconstructed.Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.A Low-Rank Method for Characterizing High-Level Neural Computations.Linking normative models of natural tasks to descriptive models of neural response.Inferring hidden structure in multilayered neural circuits
P2860

Identifying functional bases for multidimensional neural computations.

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http://www.wikidata.org/entity/Q36902042
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Identifying functional bases for multidimensional neural computations.
@en
type
label
Identifying functional bases for multidimensional neural computations.
@en
prefLabel
Identifying functional bases for multidimensional neural computations.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P577
P698
P932
P356
P1433
P1476
Identifying functional bases for multidimensional neural computations.
@en
P2093
P2860
P304
P31
P356
P433
P478
P577
P698
P932