cached image

Brian D. DePasquale, Ph.D.

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


Sign in to add mentor
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
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Pinto L, Rajan K, DePasquale B, et al. (2019) Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions. Neuron
Panichello MF, DePasquale B, Pillow JW, et al. (2019) Error-correcting dynamics in visual working memory. Nature Communications. 10: 3366
Insanally MN, Carcea I, Field RE, et al. (2019) Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. Elife. 8
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
Abbott LF, DePasquale B, Memmesheimer RM. (2016) Building functional networks of spiking model neurons Nature Neuroscience. 19: 350-355
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
See more...