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Generating text from functional brain images
scientific article (publication date: 2011)
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instance of
scholarly article
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title
Generating text from functional brain images
(English)
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main subject
brain
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natural language generation
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author name string
Francisco Pereira
series ordinal
1
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Greg Detre
series ordinal
2
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Matthew Botvinick
series ordinal
3
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language of work or name
English
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publication date
2011
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published in
Frontiers in Human Neuroscience
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volume
5
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page(s)
72
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cites work
Bayesian reconstruction of natural images from human brain activity
1 reference
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PubMed Central
reference URL
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retrieved
17 March 2017
Visual image reconstruction from human brain activity using a combination of multiscale local image decoders
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reference URL
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retrieved
17 March 2017
Machine learning classifiers and fMRI: a tutorial overview
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retrieved
17 March 2017
Identifying natural images from human brain activity
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17 March 2017
Breaking the silence: brain-computer interfaces (BCI) for communication and motor control
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17 March 2017
Inverse retinotopy: inferring the visual content of images from brain activation patterns
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17 March 2017
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17 March 2017
Decoding mental states from brain activity in humans
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17 March 2017
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
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17 March 2017
Beyond mind-reading: multi-voxel pattern analysis of fMRI data
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7 April 2017
Decoding spoken words using local field potentials recorded from the cortical surface
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3 June 2018
Predicting human brain activity associated with the meanings of nouns
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3 June 2018
Topics in semantic representation
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3 June 2018
Extensions of the Paivio, Yuille, and Madigan (1968) norms
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3 June 2018
A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity.
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3 June 2018
Concreteness, imagery, and meaningfulness values for 925 nouns
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PubMed Central
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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3159951
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3 June 2018
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.
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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3159951
retrieved
27 November 2018
Identifiers
DOI
10.3389/FNHUM.2011.00072
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PMC publication ID
3159951
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PubMed publication ID
21927602
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ResearchGate publication ID
51651835
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