Cargando…
Selective modulation of cortical population dynamics during neuroprosthetic skill learning
Brain-machine interfaces (BMIs) provide a framework for studying how cortical population dynamics evolve over learning in a task in which the mapping between neural activity and behavior is precisely defined. Learning to control a BMI is associated with the emergence of coordinated neural dynamics i...
Autores principales: | Zippi, Ellen L., You, Albert K., Ganguly, Karunesh, Carmena, Jose M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509316/ https://www.ncbi.nlm.nih.gov/pubmed/36153356 http://dx.doi.org/10.1038/s41598-022-20218-3 |
Ejemplares similares
-
Emergence of a Stable Cortical Map for Neuroprosthetic Control
por: Ganguly, Karunesh, et al.
Publicado: (2009) -
Advances in Neuroprosthetic Learning and Control
por: Carmena, Jose M.
Publicado: (2013) -
Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill
por: Wander, Jeremiah D., et al.
Publicado: (2016) -
Rapid control and feedback rates enhance neuroprosthetic control
por: Shanechi, Maryam M., et al.
Publicado: (2017) -
Flexible regulation of representations on a drifting manifold enables long-term stable complex neuroprosthetic control
por: Natraj, Nikhilesh, et al.
Publicado: (2023)