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1
Cortical microstructure in primary progressive aphasia: a multicenter study.
In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
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2
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
In: Brain Sciences; Volume 12; Issue 2; Pages: 146 (2022)
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3
Intraoperative Brain Mapping in Multilingual Patients: What Do We Know and Where Are We Going?
In: Brain Sciences; Volume 12; Issue 5; Pages: 560 (2022)
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4
An Equivocal SCC Lesion—Antiepileptic-Induced CLOCC
In: Brain Sciences; Volume 12; Issue 3; Pages: 384 (2022)
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5
Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
In: Open Access Publications (2022)
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6
Neural substrates of verbal repetition deficits in primary progressive aphasia.
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7
The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
Abstract: Recent deep networks like transformers not only excel in several language tasks, but their activations linearly map onto the human brain during language processing. Is this functional similarity caused by specific factors, such as the language abilities and the architecture of the algorithms? To address this issue, we analyze the brain responses to isolated sentences in a large cohort of 102 subjects, each recorded with both functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG). We then compare the ability of 32,400 transformer embeddings to linearly map onto these brain responses. Finally, we evaluate how the architecture, training, and performance of the models independently account for this brain mapping. Our analyses reveal two main findings. First, the similarity between brain responses and the activations of language models primarily depends on their ability to predict words from the context. Second, this similarity allows us to decompose and precisely track the rise and maintenance of perceptual, lexical, and compositional representations within each cortical region. Overall, this study evidences a partial convergence of language transformers to brainlike solutions, and shows how this phenomenon helps unravel the brain bases of natural language processing.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.NEUR]Cognitive science/Neuroscience; Encoding; Functional Magnetic Resonance Imaging; Magneto-encephalography; Natural Language Processing
URL: https://hal.archives-ouvertes.fr/hal-03361439
https://hal.archives-ouvertes.fr/hal-03361439/file/Mous_mapping.pdf
https://hal.archives-ouvertes.fr/hal-03361439/document
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8
Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers
In: ISSN: 2052-4463 ; EISSN: 2052-4463 ; Scientific Data ; https://hal.archives-ouvertes.fr/hal-03507532 ; Scientific Data , Nature Publishing Group, 2021, 8 (1), pp.258. ⟨10.1038/s41597-021-01041-3⟩ (2021)
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9
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021
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10
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021
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11
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
Yang, Winson FZ; Toller, Gianina; Shdo, Suzanne. - : eScholarship, University of California, 2021
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12
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
Yang, Winson FZ; Toller, Gianina; Shdo, Suzanne. - : eScholarship, University of California, 2021
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13
A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
Lorenz, Romy; Johal, Michelle; Dick, Frederic. - : Apollo - University of Cambridge Repository, 2021
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14
The Neurobiological Relationship Between Childhood Maltreatment and Major Depressive Disorder (MDD)
In: Global Tides (2021)
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15
Age-related differences in the neural bases of phonological and semantic processes in the context of task-irrelevant information.
Truong, Trong-Kha; Johnson, Micah A; Madden, David J. - : Springer Science and Business Media LLC, 2021
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16
Age-related differences in the neural bases of phonological and semantic processes.
Burke, Deborah M; Diaz, Michele T; Madden, David J. - : MIT Press - Journals, 2021
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17
Age-related differences in resolving semantic and phonological competition during receptive language tasks.
Madden, David J; Johnson, Micah A; Zhuang, Jie. - : Elsevier BV, 2021
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18
Engagement of Language and Domain General Networks during Word Monitoring in a Native and Unknown Language
In: Brain Sciences ; Volume 11 ; Issue 8 (2021)
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19
Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results
In: Cancers; Volume 13; Issue 24; Pages: 6273 (2021)
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20
Is Instructional Scaffolding a Better Strategy for Teaching Writing to EFL Learners? A Functional MRI Study in Healthy Young Adults
In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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