Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization
The unique contributions of different frontoparietal networks (FPNs) in cognition remains unclear. Here, authors use neuroadaptive Bayesian optimization to identify cognitive tasks that segregate dorsal and ventral FPNs and reveal complex many-to-many mappings between cognitive tasks and FPNs.
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/e82b555ea3a2440696a1a1ae12917310 |
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| Sumario: | The unique contributions of different frontoparietal networks (FPNs) in cognition remains unclear. Here, authors use neuroadaptive Bayesian optimization to identify cognitive tasks that segregate dorsal and ventral FPNs and reveal complex many-to-many mappings between cognitive tasks and FPNs. |
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