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Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity
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| Published in: | Human Brain Mapping |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868553998668136448 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Human Brain Mapping |
| description | |
| discipline_display | Psychiatry and Neurology |
| discipline_facet | Psychiatry and Neurology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:93530 |
| institution | FRELIP |
| journal_source_facet | Human Brain Mapping |
| last_indexed | 2026-06-20T21:45:54.952Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity Psychiatry and Neurology General Psychiatry and Neurology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Psychiatry and Neurology General Psychiatry and Neurology |
| subject_facet | Psychiatry and Neurology General Psychiatry and Neurology |
| title | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_alt | Modelos de aprendizaje profundo eficientes para predecir la activación de tareas individualizadas a partir de la conectividad funcional en estado de reposo Modèles d'apprentissage profond efficaces pour prédire l'activation de tâche individualisée à partir de la connectivité fonctionnelle au repos Modelos de Aprendizagem Profunda Eficientes para Prever Ativação de Tarefa Individualizada a partir da Conectividade Funcional em Estado de Repouso |
| title_auth | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_es_txt | Modelos de aprendizaje profundo eficientes para predecir la activación de tareas individualizadas a partir de la conectividad funcional en estado de reposo |
| title_fr_txt | Modèles d'apprentissage profond efficaces pour prédire l'activation de tâche individualisée à partir de la connectivité fonctionnelle au repos |
| title_full | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_fullStr | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_full_unstemmed | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_pt_txt | Modelos de Aprendizagem Profunda Eficientes para Prever Ativação de Tarefa Individualizada a partir da Conectividade Funcional em Estado de Repouso |
| title_short | Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity |
| title_sort | efficient deep learning models for predicting individualized task activation from resting‐state functional connectivity |
| topic | Psychiatry and Neurology General Psychiatry and Neurology |
| url | https://onlinelibrary.wiley.com/doi/10.1002/hbm.70557?af=R |