Brian D. DePasquale, Ph.D.
|2009-2016||Center for Theoretical Neuroscience||Columbia University, New York, NY|
|2016-||Princeton Neuroscience Institute||Princeton University, Princeton, NJ|
Area:Computation & Theory
Mean distance: 14.16 (cluster 17)
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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|