John Berkowitz
John Berkowitz
In-Q-Tel Labs
Verified email at iqt.org
Title
Cited by
Cited by
Year
A critical review of recurrent neural networks for sequence learning
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
12722015
A critical review of recurrent neural networks for sequence learning. arXiv 2015
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
282015
A critical review of recurrent neural networks for sequence learning. CoRR abs/1506.00019 (2015)
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
152015
A critical review of recurrent neural networks for sequence learning
CL Zachary, J Berkowitz, C Elkan
arXiv Preprint, 1-35, 2015
142015
Decoding neural responses with minimal information loss
JA Berkowitz, TO Sharpee
BioRxiv, 273854, 2018
32018
Quantifying information conveyed by large neuronal populations
JA Berkowitz, TO Sharpee
Neural computation 31 (6), 1015-1047, 2019
22019
Linking neural responses to behavior with information-preserving population vectors
TO Sharpee, JA Berkowitz
Current Opinion in Behavioral Sciences 29, 37-44, 2019
12019
Characterizing and quantifying information conveyed by large neuronal populations
J Berkowitz
UC San Diego, 2019
2019
Critical behavior of large maximally informative neural populations
J Berkowitz, T Sharpee
APS 2016, E41. 010, 2016
2016
Critical Phenomena in Population Coding
J Berkowitz, T Sharpee
APS 2014, P1. 058, 2014
2014
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Articles 1–10