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Disentangling Syntax and Semantics in the Brain with Deep Networks
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In: ICML 2021 - 38th International Conference on Machine Learning ; https://hal.archives-ouvertes.fr/hal-03361421 ; ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Online conference, France (2021)
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The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
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In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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| 3 |
Disentangling Syntax and Semantics in the Brain with Deep Networks ...
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Can RNNs learn Recursive Nested Subject-Verb Agreements? ...
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Neural dynamics of phoneme sequencing in real speech jointly encode order and invariant content
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In: https://hal.archives-ouvertes.fr/hal-03089733 ; 2020 (2020)
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Language processing in brains and deep neural networks: computational convergence and its limits
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In: https://hal.archives-ouvertes.fr/hal-03089737 ; 2020 (2020)
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| 7 |
What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?
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In: ISSN: 1099-4300 ; Entropy ; https://hal.archives-ouvertes.fr/hal-03089730 ; Entropy, MDPI, 2020, 22 (4), pp.446. ⟨10.3390/e22040446⟩ (2020)
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| 8 |
What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?
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In: Entropy (Basel) (2020)
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Opportunities and challenges for a maturing science of consciousness
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In: EISSN: 2397-3374 ; Nature Human Behaviour ; https://hal.archives-ouvertes.fr/hal-02355093 ; Nature Human Behaviour, Nature Research 2019, 3 (2), pp.104-107. ⟨10.1038/s41562-019-0531-8⟩ (2019)
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