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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Parallel processing in speech perception with local and global representations of linguistic context Brodbeck, Christian; Bhattasali, Shohini; Cruz Heredia, Aura AL; Resnik, Philip; Simon, Jonathan Z; Lau, Ellen In: eLife (2022) Abstract: Speech processing is highly incremental. It is widely accepted that human listeners continuously use the linguistic context to anticipate upcoming concepts, words, and phonemes. However, previous evidence supports two seemingly contradictory models of how a predictive context is integrated with the bottom-up sensory input: Classic psycholinguistic paradigms suggest a two-stage process, in which acoustic input initially leads to local, context-independent representations, which are then quickly integrated with contextual constraints. This contrasts with the view that the brain constructs a single coherent, unified interpretation of the input, which fully integrates available information across representational hierarchies, and thus uses contextual constraints to modulate even the earliest sensory representations. To distinguish these hypotheses, we tested magnetoencephalography responses to continuous narrative speech for signatures of local and unified predictive models. Results provide evidence that listeners employ both types of models in parallel. Two local context models uniquely predict some part of early neural responses, one based on sublexical phoneme sequences, and one based on the phonemes in the current word alone; at the same time, even early responses to phonemes also reflect a unified model that incorporates sentence-level constraints to predict upcoming phonemes. Neural source localization places the anatomical origins of the different predictive models in nonidentical parts of the superior temporal lobes bilaterally, with the right hemisphere showing a relative preference for more local models. These results suggest that speech processing recruits both local and unified predictive models in parallel, reconciling previous disparate findings. Parallel models might make the perceptual system more robust, facilitate processing of unexpected inputs, and serve a function in language acquisition. Keyword: Neuroscience URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830882/ https://doi.org/10.7554/eLife.72056 http://www.ncbi.nlm.nih.gov/pubmed/35060904 BASE Hide details 2 Neuro-computational models of language processing Hale, John,; Campanelli, Luca; Li, Jixing... In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021) BASE Show details 3 Data for: Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions ... Brodbeck, Christian; Bhattasali, Shohini; Das, Proloy. - : Digital Repository at the University of Maryland, 2021 BASE Show details 4 Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bhattasali, Shohini; Resnik, Philip. - : Underline Science Inc., 2021 BASE Show details 5 Data for: Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions Brodbeck, Christian; Bhattasali, Shohini; Das, Proloy. - 2021 BASE Show details 6 Diathesis alternations and selectional restrictions: A fMRI Study Bhattasali, Shohini; Hale, John In: CLS 55, 2019 : proceedings of the fifty-fifth annual meeting of the Chicago Linguistic Society (2020), S. 33-43 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 7 Modeling Conventionalization and Predictability within MWEs at the Brain Level Bhattasali, Shohini; Popa-Fabre, Murielle; Pallier, Christophe... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 8 A Neurolinguistic Approach to Noncompositionality and Argument Structure Bhattasali, Shohini. - 2019 BASE Show details 9 Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level Fabre, Murielle; Bhattasali, Shohini; Pallier, Christophe... In: CRCNS 2019 ; https://hal.inria.fr/hal-02272435 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019) BASE Show details 10 A Neurolinguistic Approach to Noncompositionality and Argument Structure ... Bhattasali, Shohini. - : Cornell University Library, 2019 BASE Show details 11 Localising Memory Retrieval and Syntactic Composition: An fMRI Study of Naturalistic Language Comprehension Bhattasali, Shohini; Fabre, Murielle; Luh, Wen-Ming... In: ISSN: 2327-3798 ; EISSN: 2327-3801 ; Language, Cognition and Neuroscience ; https://hal.archives-ouvertes.fr/hal-01930201 ; Language, Cognition and Neuroscience, Taylor and Francis, In press, 34 (4), pp.1-20. ⟨10.1080/23273798.2018.1518533⟩ (2018) BASE Show details 12 Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain Bhattasali, Shohini; Hale, John; Pallier, Christophe... In: Proceedings of the Society for Computation in Linguistics (2018) BASE Show details 13 Computational Approach to Bengali Stress ... Bhattasali, Shohini. - : Zenodo, 2017 BASE Show details 14 Computational Approach to Bengali Stress ... Bhattasali, Shohini. - : Zenodo, 2017 BASE Show details

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