[PDF] Top 20 From perceptual to semantic representations in the human brain
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From perceptual to semantic representations in the human brain
... when human participants processed morphing bird shapes varying continuously in their neck:legs ratio, therefore mimicking a movement in an artificial bidimensional “bird space” akin the real-world physical ...of ... See full document
96
Distributed Activity Patterns for Objects and Their Features: Decoding Perceptual and Conceptual Object Processing in Information Networks of the Human Brain
... the human brain? Distributed patterns of activity within brain regions can encode distinctions between perceptual and cognitive phenomena with impressive ...hierarchy. Brain activity ... See full document
83
Generating Natural Language Descriptions for Semantic Representations of Human Brain Activity
... of human brain ac- tivity based on language representations, such as the semantic categories of words, have been actively studied in the field of brain and ...for human ... See full document
8
Cortical representations of auditory and tactile perceptual decisions
... of perceptual decision making by better understanding where in the human brain is non-visual information pertinent to the categorization process ...of perceptual decision making either failed ... See full document
88
Implications of rare neurological disorders and perceptual errors in natural and synthetic consciousness
... apparent from Figure 3 that neurological time is not the same as physical ...the human brain operates on a limited amount of power, ef- ficiency is important and leaves no room for the proc- essing ... See full document
6
Anticipatory representations of reward and threat in perceptual areas from preadolescence to late adolescence
... The human brain matures in a back-to-front fashion, with higher order prefrontal regions developing last (Gogtay et ...Evidence from humans and non-human primates show that there is an ... See full document
14
A comparison of human sorted semantic categories and their representations in the brain
... ‘Murder’ from cluster three are all clustered together because a murder requires a victim, and a murder also requires a death, whereas other items in cluster three, like ‘Evil’ or ‘Suffer’, does not necessarily ... See full document
31
From distributional semantics to feature norms: grounding semantic models in human perceptual data
... for human conceptual ...mapping from a distributional semantic space based solely on linguistic input to a more cognitively-sound semantic space where feature norms are seen as a proxy for ... See full document
6
Neural Mechanisms for Combinatorial Semantics in Language and Vision: Evidence From FMRI, Patients, and Brain Stimulation
... of semantic memory has examined the representation of semantic categories ...of human cognition is the ability to integrate this stored semantic information to form complex combinations of ... See full document
147
Improving Multi Modal Representations Using Image Dispersion: Why Less is Sometimes More
... learn semantic concept representations from both linguistic and percep- tual input were originally motivated by parallels with human concept acquisition, and evidence that many concepts are ... See full document
7
De Conflated Semantic Representations
... word representations, and the technique pro- posed by Huang et ...suffer from two disadvan- ...range from monose- mous to highly ambiguous with dozens of associ- ated meanings (McCarthy et ... See full document
11
Deficits of knowledge versus executive control in semantic cognition: Insights from cued naming
... of semantic knowledge itself, as in semantic dementia ...intact semantic knowledge from a particular input ...non-verbal semantic tasks, research suggests that the comprehension ... See full document
25
Content selection as semantic based ontology exploration
... the predictions of the models. In total, we col- lected 67 candidate sets corresponding to the add compatible relation query extension and 39 to the add compatible operation. The candidate sets were manually annotated ... See full document
5
Enhancing Opinion Role Labeling with Semantic Aware Word Representations from Semantic Role Labeling
... Further, we compare the SRL-SAWR method with two other methods as well, namely SRL-TE and FS-MTL, respectively. The SRL-TE approach simply exploits the output SRL tags as inputs for ORL, embedding them as an additional ... See full document
6
Multiple Representations of Perceptual Features for Texture Classification and Retrieval
... new perceptual model based on a set of computational measures corresponding to perceptual textural features namely coarseness, directionality, contrast, and busyness is ...multiple representations: ... See full document
7
Image inpainting based on sparse representations with a perceptual metric
... difference from the traditional sparse representa- tion approach and the biggest contribution in our ...section. From the approximation results obtained by the above sparse representation, the pro- posed ... See full document
26
Learning Abstract Concept Embeddings from Multi Modal Data: Since You Probably Can’t See What I Mean
... acquire semantic represen- tations from both linguistic and percep- tual input are of interest to researchers in NLP because of the obvious parallels with human language ...input from distinct ... See full document
11
Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
... Preparation for web revisitation. When a user accesses a web page, which is of potential to be revisited later by the user (i.e., page access time is over a threshold), the context acquisition and management module ... See full document
10
Neural Text Generation from Rich Semantic Representations
... We augment the gold training data with a sil- ver dataset generated using ACE, 5 a parser for the ERG, to parse sentences to MRS. We sam- ple one million sentences from the Gigaword cor- pus (Parker et al., 2011), ... See full document
8
Multi and Cross Modal Semantics Beyond Vision: Grounding in Auditory Perception
... grounded semantic models that try to account for this ...mantic representations from both textual and per- ceptual input, using either feature norms (Silberer and Lapata, 2012; Roller and Schulte im ... See full document
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