@article{
 title = {Neural Manifolds for the Control of Movement.},
 type = {article},
 year = {2017},
 identifiers = {[object Object]},
 pages = {978-984},
 volume = {94},
 websites = {http://dx.doi.org/10.1016/j.neuron.2017.05.025,http://linkinghub.elsevier.com/retrieve/pii/S0896627317304634,http://www.ncbi.nlm.nih.gov/pubmed/28595054},
 month = {6},
 publisher = {Elsevier Inc.},
 day = {7},
 id = {e2da79d8-55e8-36be-b2af-b5c5c14c2f82},
 created = {2017-10-06T14:23:54.020Z},
 file_attached = {true},
 profile_id = {cd7c6665-c103-3d00-9cfa-414da6b38eb5},
 group_id = {5ac1deb5-92b2-3f98-87d8-03b81a0fdb16},
 last_modified = {2018-02-08T08:58:12.495Z},
 read = {false},
 starred = {false},
 authored = {true},
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 hidden = {false},
 citation_key = {Gallego2017a},
 folder_uuids = {d944e9de-e3e6-4e8d-b73f-c1bf50a78ebe},
 private_publication = {false},
 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.},
 bibtype = {article},
 author = {Gallego, Juan A. and Perich, Matthew G. and Miller, Lee E. and Solla, Sara A.},
 journal = {Neuron},
 number = {5}
}

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