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pro vyhledávání: '"Arora, Jashn"'
Autor:
Oota, Subba Reddy, Arora, Jashn, Agarwal, Veeral, Marreddy, Mounika, Gupta, Manish, Surampudi, Bapi Raju
Several popular Transformer based language models have been found to be successful for text-driven brain encoding. However, existing literature leverages only pretrained text Transformer models and has not explored the efficacy of task-specific learn
Externí odkaz:
http://arxiv.org/abs/2205.01404
Enabling effective brain-computer interfaces requires understanding how the human brain encodes stimuli across modalities such as visual, language (or text), etc. Brain encoding aims at constructing fMRI brain activity given a stimulus. There exists
Externí odkaz:
http://arxiv.org/abs/2204.08261
How the brain captures the meaning of linguistic stimuli across multiple views is still a critical open question in neuroscience. Consider three different views of the concept apartment: (1) picture (WP) presented with the target word label, (2) sent
Externí odkaz:
http://arxiv.org/abs/2204.09564
Publikováno v:
Coling 2022-The 29th International Conference on Computational Linguistics
Coling 2022-The 29th International Conference on Computational Linguistics, Oct 2022, Gyeongju, South Korea. pp.105-115
Coling 2022-The 29th International Conference on Computational Linguistics, Oct 2022, Gyeongju, South Korea. pp.105-115
11 pages, 10 figures; International audience; Can we build multi-view decoders that can decode concepts from brain recordings corresponding to any view (picture, sentence, word cloud) of stimuli? Can we build a system that can use brain recordings to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::c06a4d3143fa78907aea030b54ebfe5d
https://hal.science/hal-03946696/file/2022.coling-1.10.pdf
https://hal.science/hal-03946696/file/2022.coling-1.10.pdf
Publikováno v:
COLING 2022-the 29th International Conference on Computational Linguistics
COLING 2022-the 29th International Conference on Computational Linguistics, Oct 2022, Gyeongju, South Korea. pp.116-133
COLING 2022-the 29th International Conference on Computational Linguistics, Oct 2022, Gyeongju, South Korea. pp.116-133
Enabling effective brain-computer interfaces requires understanding how the human brain encodes stimuli across modalities such as visual, language (or text), etc. Brain encoding aims at constructing fMRI brain activity given a stimulus. There exists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1fc344ffd31ab6560a7c444a0de007
http://arxiv.org/abs/2204.08261
http://arxiv.org/abs/2204.08261
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 44, iss 44
COGSCI 2022-the 44th Annual Conference of the Cognitive Science Society
COGSCI 2022-the 44th Annual Conference of the Cognitive Science Society, Jul 2022, Toronto (CA), Canada
COGSCI 2022-the 44th Annual Conference of the Cognitive Science Society
COGSCI 2022-the 44th Annual Conference of the Cognitive Science Society, Jul 2022, Toronto (CA), Canada
International audience; How does the brain represent different modes of information? Can we design a system that can automatically understand what the user is thinking? We can make progress towards answering such questions by studying brain recording
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::82a4d713e7f5bc814beb88529db36438
https://hal.science/hal-03946727
https://hal.science/hal-03946727