Action processing in the motor system: Transcranial Magnetic Stimulation (TMS) evidence of shared mechanisms in the visual and linguistic modalities
Sign Up to like & getrecommendations! Published in 2020 at "Brain and Cognition"
DOI: 10.1016/j.bandc.2019.105510
Abstract: In two experiments, we compared the dynamics of corticospinal excitability when processing visually or linguistically presented tool-oriented hand actions in native speakers and sequential bilinguals. In a third experiment we used the same procedure to… read more here.
Keywords: tool; linguistic modalities; magnetic stimulation; motor ... See more keywords
Cross-regional comparison of attitudes and perceptions towards the visual linguistic landscape: Basque Country and Galicia
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Multilingualism"
DOI: 10.1080/14790718.2025.2456661
Abstract: ABSTRACT Several studies have analysed the linguistic hierarchies through the visual linguistic landscape (LL) in multilingual areas (e.g. Ben Rafael et al., 2006; Cenoz & Gorter, 2006), although few have incorporated attitudinal data (e.g. Aiestaran… read more here.
Keywords: regional comparison; visual linguistic; cross regional; language ... See more keywords
Visual-Linguistic Feature Alignment With Semantic and Kinematic Guidance for Referring Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3557710
Abstract: Referring Multi-Object Tracking (RMOT) aims to dynamically track an arbitrary number of referred targets in a video sequence according to the language expression. Previous methods mainly focus on cross-modal fusion at the feature level with… read more here.
Keywords: referring multi; visual linguistic; alignment; language ... See more keywords
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2210.06756
Abstract: Decoding human visual neural representations is a challenging task with great scientific significance in revealing vision-processing mechanisms and developing brain-like intelligent machines. Most existing methods are difficult to generalize to novel categories that have no… read more here.
Keywords: visual neural; visual linguistic; brain; neural representations ... See more keywords