Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS. - Wikidata - wikimedia - TriplyDB

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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Decoding semantic representations from functional near-infrared spectroscopy signals.Fearful but not happy expressions boost face detection in human infants.

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P2860

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

http://www.wikidata.org/entity/Q30846483

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2017 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2017 թվականի ապրիլին հրատարակված գիտական հոդված

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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name

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

@ast

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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type

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Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

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Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS

@en

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Benjamin D Zinszer

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Lauren L Emberson

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Richard N Aslin

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P2860

Identifying natural images from human brain activity

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

Hemodynamic correlates of cognition in human infants.

Computational advances towards linking BOLD and behavior

Identifying object categories from event-related EEG: toward decoding of conceptual representations

Machine learning classifiers and fMRI: a tutorial overview

Beyond mind-reading: multi-voxel pattern analysis of fMRI data

Top-down modulation in the infant brain: Learning-induced expectations rapidly affect the sensory cortex at 6 months.

What makes different people's representations alike: neural similarity space solves the problem of across-subject fMRI decoding.

Quantifying the adequacy of neural representations for a cross-language phonetic discrimination task: prediction of individual differences.

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e0172500

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