Different computations over the same inputs produce selective behavior in algorithmic brain networks

A key challenge in neuroimaging remains to understand where, when, and now particularly how human brain networks compute over sensory inputs to achieve behavior. To study such dynamic algorithms from mass neural signals, we recorded the magnetoencephalographic (MEG) activity of participants who reso...

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Detalles Bibliográficos
Autores principales: Jaworska, Katarzyna, Yan, Yuening, van Rijsbergen, Nicola J, Ince, Robin AA, Schyns, Philippe G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853655/
https://www.ncbi.nlm.nih.gov/pubmed/35174783
http://dx.doi.org/10.7554/eLife.73651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853655/
https://www.ncbi.nlm.nih.gov/pubmed/35174783
http://dx.doi.org/10.7554/eLife.73651

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