Learning active sensing strategies using a sensory brain–machine interface

Diverse organisms, from insects to humans, actively seek out sensory information that best informs goal-directed actions. Efficient active sensing requires congruity between sensor properties and motor strategies, as typically honed through evolution. However, it has been difficult to study whether...

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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Richardson, Andrew G., Ghenbot, Yohannes, Liu, Xilin, Hao, Han, Rinehart, Cole, DeLuccia, Sam, Torres Maldonado, Solymar, Boyek, Gregory, Zhang, Milin, Aflatouni, Firooz, Van der Spiegel, Jan, Lucas, Timothy H.
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2019
Assuntos:
Biological Sciences
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6717311/
https://ncbi.nlm.nih.gov/pubmed/31409713
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1909953116
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