引用次数
引用: 8,349
H-指数: 41
I10-指数 : 80
出版物: 223
Cemeteries of the Savannah River Plant Site: an inventory of relocated and remnants cemeteries
E.S. Brown , G.T. Hanson , R.D. Brooks
1981
Strong coupling and local control of dimensionality across brain areas
Helias M , Ocker Gk , Ocker Gk , Dahmen D
bioRxiv
2
2020
Cortical network structure mediates response to stimulation: an optogenetic study in non-human primates
Shea-Brown E , Harchaoui Z , Greaves-Tunnell A , Yazdan-Shahmorad A
bioRxiv
4
2021
When are microcircuits well-modeled by maximum entropy methods?
Andrea K Barreiro , Eric T Shea-Brown , Fred M Rieke , Julijana Gjorgjieva
BMC Neuroscience 11 ( 1) 65
2010
Periodic orbit
Jeff Moehlis , Kresimir Josic , Eric T Shea-Brown
Scholarpedia 1 ( 7) 1358 -1358
35
2006
Isochron
Kresimir Josic , Eric T Shea-Brown , Jeff Moehlis
Scholarpedia 1 ( 8) 1361 -1361
32
2006
Modeling functional cell types in spike train data
Daniel N Zdeblick , Eric T Shea-Brown , Daniela M Witten , Michael A Buice
PLOS Computational Biology 19 ( 10) e1011509 -e1011509
1
2023
Stability
Philip Holmes , Eric T Shea-Brown
Scholarpedia 1 ( 10) 1838 -1838
38
2006
Jeff Moehlis et al.(2006), Scholarpedia, 1 (7): 1358. doi: 10.4249/scholarpedia. 1358 revision# 75975 [link to/cite this article]
Jeff Moehlis , Eric T Shea-Brown
Jeff Moehlis et al.(2006), Scholarpedia, 1 (7): 1358. doi: 10.4249/scholarpedia. 1358 revision# 2464 [link to/cite this article]
Jeff Moehlis , Eric T Shea-Brown
Eugene M. Izhikevich (2007), Scholarpedia, 2 (10): 2014. doi: 10.4249/scholarpedia. 2014 revision# 87503 [link to/cite this article]
Nick Orbeck , Emmanuil E Shnol , Eric T Shea-Brown
Poster: How Connectivity Motifs Can Shape Signal Filtering in Recurrent Neural Networks
Steven L. Brunton , J. Nathan Kutz , Yu Hu , E. Shea-Brown
2014
Spike-time reliability of layered neural oscillator networks
K. K. Lin , E. Shea-Brown , L.-S. Young
PHYSICS, COMPUTATION, AND THE MIND - ADVANCES AND CHALLENGES AT INTERFACES: Proceedings of the 12th Granada Seminar on Computational and Statistical Physics 1510 ( 1) 207 -209
2013
Winding Numbers and Average Frequencies in Phase Oscillator Networks
Martin Golubitsky , Krešimir Josic , Eric Shea-Brown
Journal of Nonlinear Science 16 ( 3) 201 -231
28
2006
Constructing Precisely Computing Networks with Biophysical Spiking Neurons
M. A. Schwemmer , A. L. Fairhall , S. Deneve , E. T. Shea-Brown
The Journal of Neuroscience 35 ( 28) 10112 -10134
40
2015
Joel Zylberberg
J Zylberberg , J Cafaro , M Turner , E Shea-Brown
University of California, Berkeley 2008
2012
The Sign Rule and Beyond: Boundary Effects
Y Hu , J Zylberberg , E Shea-Brown
Flexibility, and
1
2014
Critical dynamics and asynchronous rate propagation in homogenous feedforward networks
NA Cayco Gajic , E Shea-Brown
Front. Comput. Neurosci. Conference Abstract: Bernstein Conference
2012
Modeling Differential Equations in Biol-ogy makes the choice to emphasize pencil-and-paper tools entirely, rather than a mix of analytical and computational methods. This is a logical strategy, especially given
ERIC SHEA-BROWN
816 -816
Spike correlations and direction encoding in the retina
Joel Zylberberg , Jon Cafaro , Maxwell Turner , Fred Rieke
Investigative Ophthalmology & Visual Science 54 ( 15) 3396 -3396
2013