Neural Manifolds for the Control of Movement. Gallego, J. A., Perich, M. G., Miller, L. E., & Solla, S. A. Neuron, 94(5):978–984, June, 2017.
Paper doi abstract bibtex The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural variability. These neural manifolds are spanned by specific patterns of correlated neural activity, the “neural modes.” We discuss a model for neural control of movement in which the time-dependent activation of these neural modes is the generator of motor behavior. This manifold-based view of motor cortex may lead to a better understanding of how the brain controls movement.
@article{gallego_neural_2017,
title = {Neural {Manifolds} for the {Control} of {Movement}},
volume = {94},
issn = {0896-6273},
url = {http://www.sciencedirect.com/science/article/pii/S0896627317304634},
doi = {10.1016/j.neuron.2017.05.025},
abstract = {The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural variability. These neural manifolds are spanned by specific patterns of correlated neural activity, the “neural modes.” We discuss a model for neural control of movement in which the time-dependent activation of these neural modes is the generator of motor behavior. This manifold-based view of motor cortex may lead to a better understanding of how the brain controls movement.},
number = {5},
urldate = {2019-05-16},
journal = {Neuron},
author = {Gallego, Juan A. and Perich, Matthew G. and Miller, Lee E. and Solla, Sara A.},
month = jun,
year = {2017},
pages = {978--984},
}
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