Reorganization of thalamocortical connections in congenitally blind humans
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26192
Abstract: Cross-modal plasticity in blind individuals has been reported over the past decades showing that non-visual information is carried and processed by ‘visual’ brain structures. However, the structural underpinnings of cross-modal plasticity in congenitally blind individuals… read more here.
Keywords: connectivity; thalamocortical connections; cross modal; blind individuals ... See more keywords
EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision
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DOI: 10.1002/hbm.26303
Abstract: The human brain is constantly subjected to a multi-modal stream of probabilistic sensory inputs. EEG signatures, such as the mismatch negativity (MMN) and the P3, can give valuable insight into neuronal probabilistic inference. Although reported… read more here.
Keywords: roving stimulus; mismatch responses; cross modal; probabilistic inference ... See more keywords
Cross‐modal retrieval based on deep regularized hashing constraints
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22853
Abstract: Cross‐modal retrieval has attracted great attention due to the increasing demand for tremendous amounts of multimodal data in recent years. These retrievals could either be text‐to‐image or image‐to‐text. To address the problem of inappropriate information… read more here.
Keywords: deep regularized; cross modal; modal retrieval; regularized hashing ... See more keywords
Does the construction retrieval account apply to cross-modal inhibition of return in semantic context?
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DOI: 10.1002/pchj.618
Abstract: The traditional attentional reorienting hypothesis is insufficient to explain spatial and nonspatial inhibition of return (IOR). Therefore, a construction retrieval account that includes the influence of top-down attentional sets has been proposed and can explain… read more here.
Keywords: construction retrieval; construction; cross modal; retrieval account ... See more keywords
Visual–tactile processing in primary somatosensory cortex emerges before cross‐modal experience
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DOI: 10.1002/syn.21958
Abstract: The presumptive unisensory neocortical areas process multisensory information by oscillatory entrainment of neuronal networks via direct cortico‐cortical projections. While neonatal unimodal experience has been identified as necessary for setting up the neuronal networks of multisensory… read more here.
Keywords: modal experience; cross modal; somatosensory; multisensory processing ... See more keywords
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval
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DOI: 10.1007/s10489-021-02308-3
Abstract: Cross-modal retrieval aims to retrieve related items across different modalities, for example, using an image query to retrieve related text. The existing deep methods ignore both the intra-modal and inter-modal intra-class low-rank structures when fusing… read more here.
Keywords: regularization; low rank; cross modal; rank ... See more keywords
Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity
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DOI: 10.1007/s11042-019-7343-8
Abstract: Cross-modal retrieval aims to search the semantically similar instances from the other modalities given a query from one modality. However, the differences of the distributions and representations between different modalities make that the similarity of… read more here.
Keywords: different modalities; semantic similarity; similarity; cross modal ... See more keywords
Multi-task clustering ELM for VIS-NIR cross-modal feature learning
Sign Up to like & getrecommendations! Published in 2017 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-016-0401-8
Abstract: Extreme learning machine (ELM) as a new emergent and efficient machine learning algorithm has shown its good performance in many real regression applications as well as large data classification. In this paper, we propose a… read more here.
Keywords: multi task; cross; feature learning; cross modal ... See more keywords
Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision
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DOI: 10.1007/s11263-021-01547-8
Abstract: Transformer architectures have brought about fundamental changes to computational linguistic field, which had been dominated by recurrent neural networks for many years. Its success also implies drastic changes in cross-modal tasks with language and vision,… read more here.
Keywords: tasks language; transformer architecture; language vision; cross modal ... See more keywords
Cross-specificity: modelling data semantics for cross-modal matching and retrieval
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-017-0138-7
Abstract: While dealing with multi-modal data such as pairs of images and text, though individual samples may demonstrate inherent heterogeneity in their content, they are usually coupled with each other based on some higher-level concepts such… read more here.
Keywords: cross specificity; retrieval; cross modal; semantics ... See more keywords
An overture to overeating: The cross-modal effects of acoustic pitch on food preferences and serving behavior
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DOI: 10.1016/j.appet.2017.12.013
Abstract: Billions of dollars are spent annually with the aim of enticing consumers to purchase food. Yet despite the prevalence of such advertising, little is known about how the actual sensation of this advertising media affects… read more here.
Keywords: acoustic pitch; pitch; cross modal; pitch food ... See more keywords