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| Published in: | PLoS Computational Biology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030193417453568 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | PLoS Computational Biology |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:48187 |
| institution | FRELIP |
| journal_source_facet | PLoS Computational Biology |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach Biology Natural Sciences — Life Sciences Natural Sciences |
| sub_discipline_display | Natural Sciences — Life Sciences |
| sub_discipline_facet | Natural Sciences — Life Sciences |
| subject_display | Biology Natural Sciences — Life Sciences Natural Sciences Biology Natural Sciences — Life Sciences Natural Sciences |
| subject_facet | Biology Natural Sciences — Life Sciences Natural Sciences |
| title | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_auth | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_full | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_fullStr | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_full_unstemmed | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_short | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach |
| title_sort | complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: a rigorous machine-learning approach |
| topic | Biology Natural Sciences — Life Sciences Natural Sciences |
| url | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014154 |