引用次数
引用: 8,349
H-指数: 41
I10-指数 : 80
出版物: 223
A-current and type I/type II transition determine collective spiking from common input
Andrea K. Barreiro , Evan L. Thilo , Eric Shea-Brown
Journal of Neurophysiology 108 ( 6) 1631 -1645
17
2012
Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity
Nicholas Cain , Andrea K. Barreiro , Michael Shadlen , Eric Shea-Brown
Journal of Neurophysiology 109 ( 10) 2542 -2559
21
2013
Inferring Neural Population Spiking Rate from Wide-Field Calcium Imaging
Merav Stern , Eric Shea-Brown , Daniela Witten
bioRxiv
3
2020
Stimulus-dependent correlations and population codes
Krešimir Josić , Eric Shea-Brown , Brent Doiron , Jaime de la Rocha
Neural Computation 21 ( 10) 2774 -2804
68
2009
Optimization of decision making in multilayer networks: The role of locus coeruleus
Eric Shea-Brown , Mark S. Gilzenrat , Jonathan D. Cohen
Neural Computation 20 ( 12) 2863 -2894
31
2008
Impact of correlated neural activity on decision-making performance
Nicholas Cain , Eric Shea-Brown
Neural Computation 25 ( 2) 289 -327
4
2013
Neutral stability, rate propagation, and critical branching in feedforward networks
N. Alex Cayco-Gajic , Eric Shea-Brown
Neural Computation 25 ( 7) 1768 -1806
7
2013
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.
Hannah Choi , Anitha Pasupathy , Eric Shea-Brown
Neural Computation 30 ( 5) 1209 -1257
2
2018
High-resolution data-driven model of the mouse connectome
Joseph E. Knox , Kameron Decker Harris , Nile Graddis , Jennifer D. Whitesell
Network neuroscience (Cambridge, Mass.) 3 ( 1) 217 -236
57
2019
Different roles for inhibition in the rhythm-generating respiratory network.
Kameron Decker Harris , Tatiana Dashevskiy , Joshua Mendoza , Alfredo J. Garcia
Journal of Neurophysiology 118 ( 4) 2070 -2088
22
2017
Reliability of Coupled Oscillators
Kevin K. Lin , Eric Shea-Brown , Lai-Sang Young
Journal of Nonlinear Science 19 ( 5) 497 -545
38
2009
Linking structure and activity in nonlinear spiking networks
Gabriel Koch Ocker , Krešimir Josić , Eric Shea-Brown , Michael A. Buice
bioRxiv 080705
51
2016
Reliability of layered neural oscillator networks
Kevin. K. Lin , Eric Shea-Brown , Lai-Sang Young
Communications in Mathematical Sciences 7 ( 1) 239 -247
24
2009
A heterogeneous population code for elapsed time in rat medial agranular cortex
Matthew S. Matell , Eric Shea-Brown , Cindy Gooch , A. George Wilson
Behavioral Neuroscience 125 ( 1) 54 -73
38
2011
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
Matthew Farrell , Stefano Recanatesi , Timothy Moore , Guillaume Lajoie
bioRxiv 564476
15
2019
The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations
Joshua H. Goldwyn , Eric Shea-Brown
PLOS Computational Biology 7 ( 11)
191
2011
Impact of Network Structure and Cellular Response on Spike Time Correlations
James Trousdale , Yu Hu , Eric Shea-Brown , Krešimir Josić
PLoS Computational Biology 8 ( 3) e1002408
142
2012
Motif statistics and spike correlations in neuronal networks
Yu Hu , James Trousdale , Krešimir Josić , Eric Shea-Brown
Journal of Statistical Mechanics: Theory and Experiment 2013 ( 03) 03012
56
2013
Chaos and reliability in balanced spiking networks with temporal drive.
Guillaume Lajoie , Kevin K. Lin , Eric Shea-Brown
Physical Review E 87 ( 5) 052901 -052901
30
2013
Time scales of spike-train correlation for neural oscillators with common drive.
Andrea K. Barreiro , Eric Shea-Brown , Evan L. Thilo
Physical Review E 81 ( 1) 011916
36
2010