Michael S. Brainard
Affiliations: | University of California, San Francisco, San Francisco, CA |
Area:
song system, motor planningGoogle:
"Michael Brainard"Mean distance: 12.89 (cluster 6) | S | N | B | C | P |
Children
Sign in to add trainee| Lucas Y Tian | grad student | 2013- | UCSF |
| Ritu Kapur | grad student | 2008 | UCSF |
| Melville Joseph Wohlgemuth | grad student | 2008 | UCSF |
| Cara Marie Hampton | grad student | 2004-2008 | UCSF |
| Kristofer E. Bouchard | grad student | 2010 | UCSF |
| Jonathan D. Charlesworth | grad student | 2012 | UCSF |
| Timothy L. Warren | grad student | 2012 | UCSF |
| David G. Mets | post-doc | HHMI/UCSF | |
| Jon T. Sakata | post-doc | UCSF | |
| Samuel J. Sober | post-doc | UCSF | |
| Mark N. Miller | post-doc | 2009- | UCSF |
| SooYoon Shin | post-doc | 2011- | Keck Center, UCSF |
| Daniel M. Brady | post-doc | 2012- | Keck Center, UCSF |
| Hamish Mehaffey | post-doc | 2015- | UCSF |
| Mimi H. Kao | post-doc | 2014 | UCSF |
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Publications
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| Kojima 小島哲 S, Kao MH, Doupe AJ, et al. (2018) The avian basal ganglia are a source of rapid behavioral variation that enables vocal motor exploration. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Knowles JM, Doupe AJ, Brainard MS. (2018) Zebra finches are sensitive to combinations of temporally distributed features in a model of word recognition. The Journal of the Acoustical Society of America. 144: 872 |
| Mets DG, Brainard MS. (2018) An automated approach to the quantitation of vocalizations and vocal learning in the songbird. Plos Computational Biology. 14: e1006437 |
| Colquitt BM, Mets DG, Brainard MS. (2018) Draft genome assembly of the Bengalese finch, Lonchura striata domestica, a model for motor skill variability and learning. Gigascience. 7: 1-6 |
| Mets DG, Brainard MS. (2017) Genetic variation interacts with experience to determine interindividual differences in learned song. Proceedings of the National Academy of Sciences of the United States of America |
| Miller MN, Cheung CYJ, Brainard MS. (2017) Vocal learning promotes patterned inhibitory connectivity. Nature Communications. 8: 2105 |
| Tian LY, Brainard MS. (2017) Discrete Circuits Support Generalized versus Context-Specific Vocal Learning in the Songbird. Neuron |
| Troyer TW, Brainard MS, Bouchard KE. (2017) Timing during transitions in Bengalese finch song: implications for motor sequencing. Journal of Neurophysiology. jn.00296.2017 |
| Bouchard KE, Brainard MS. (2016) Auditory-induced neural dynamics in sensory-motor circuitry predict learned temporal and sequential statistics of birdsong. Proceedings of the National Academy of Sciences of the United States of America |
| Wittenbach JD, Bouchard KE, Brainard MS, et al. (2015) An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition. Plos Computational Biology. 11: e1004471 |