Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation.
about
A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition.Toward a universal decoder of linguistic meaning from brain activation.Neural encoding and production of functional morphemes in the posterior temporal lobe.Acquiring New Factual Information: Effect of Prior Knowledge
P2860
Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Predicting Neural Activity Pat ...... el of Semantic Representation.
@en
type
label
Predicting Neural Activity Pat ...... el of Semantic Representation.
@en
prefLabel
Predicting Neural Activity Pat ...... el of Semantic Representation.
@en
P2093
P2860
P50
P356
P1433
P1476
Predicting Neural Activity Pat ...... del of Semantic Representation
@en
P2093
Andrew James Anderson
Donias Doko
Jeffrey R Binder
Leonardo Fernandino
Mario Aguilar
P2860
P304
P356
10.1093/CERCOR/BHW240
P577
2017-09-01T00:00:00Z