The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

about

Human attention filters for single colors.Evidence against global attention filters selective for absolute bar-orientation in human vision.

P2860

Q37379722-C1E11AFA-ED6B-4D1C-8513-18608C647E91 Q46004149-A8B4BE0B-F6A1-4A04-B23E-750464908A15

P2860

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

Item

http://www.wikidata.org/entity/Q45972966

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年学术文章

@wuu

2015年学术文章

@zh-cn

2015年学术文章

@zh-hans

2015年学术文章

@zh-my

2015年学术文章

@zh-sg

2015年學術文章

@yue

2015年學術文章

@zh

2015年學術文章

@zh-hant

name

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@en

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@nl

type

Item

label

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@en

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@nl

prefLabel

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@en

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@nl

P1476

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

@en

P2093

Charles E Wright

http://www.w3.org/2001/XMLSchema#string

Peng Sun

http://www.w3.org/2001/XMLSchema#string

P2860

Decoding the visual and subjective contents of the human brain

Cortical mechanisms of feature-based attentional control

Feature-based attention modulates orientation-selective responses in human visual cortex.

Neural correlates of attention in primate visual cortex.

Seeing sets: representation by statistical properties.

Feature-selective attention enhances color signals in early visual areas of the human brain.

Feature-selective attention in healthy old age: a selective decline in selective attention?

Representing multiple objects as an ensemble enhances visual cognition.

Variance of high contrast textures is sensed using negative half-wave rectification.

How spatial and feature-based attention affect the gain and tuning of population responses.

P2888

s13414-015-0978-2

P304

474-515

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3758/S13414-015-0978-2

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

George Sperling

Charles Chubb

P577

2015-11-09T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

283687389

http://www.w3.org/2001/XMLSchema#string

P6179

1008969681

http://www.w3.org/2001/XMLSchema#string

P698

26552652

http://www.w3.org/2001/XMLSchema#string

P921

attention

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

about

P2860

P2860

The centroid paradigm: Quantifying feature-based attention in terms of attention filters.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P5875

P6179

P698

P921

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P5875

P6179

P698

P921