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Brian D. DePasquale, Ph.D.

Affiliations: 
2009-2016 Center for Theoretical Neuroscience Columbia University, New York, NY 
 2016- Princeton Neuroscience Institute Princeton University, Princeton, NJ 
Area:
Computation & Theory
Website:
http://www.princeton.edu/~briandd/
Google:
"Brian DePasquale"
Mean distance: 14.16 (cluster 17)
 
SNBCP

Parents

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Ann M. Graybiel research assistant 2005-2009 MIT
Larry F. Abbott grad student 2009-2016 Columbia
Carlos D. Brody post-doc 2016- Princeton
Jonathan W. Pillow post-doc 2016- Princeton
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Publications

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DePasquale B, Cueva CJ, Rajan K, et al. (2018) full-FORCE: A target-based method for training recurrent networks. Plos One. 13: e0191527
Abbott LF, DePasquale B, Memmesheimer RM. (2016) Building functional networks of spiking model neurons. Nature Neuroscience. 19: 350-5
Feingold J, Gibson DJ, DePasquale B, et al. (2015) Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proceedings of the National Academy of Sciences of the United States of America. 112: 13687-92
Paninski L, Vidne M, DePasquale B, et al. (2012) Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods. Journal of Computational Neuroscience. 33: 1-19
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