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Andrea K. Barreiro
Andrea K. Barreiro
Associate Professor of Mathematics, Southern Methodist University
Verified email at smu.edu
Title
Cited by
Cited by
Year
Information theoretic approaches to understanding circuit function
A Fairhall, E Shea-Brown, A Barreiro
Current opinion in neurobiology 22 (4), 653-659, 2012
502012
Time scales of spike-train correlation for neural oscillators with common drive
AK Barreiro, E Shea-Brown, EL Thilo
Physical Review E 81 (1), 011916, 2010
422010
When do microcircuits produce beyond-pairwise correlations?
AK Barreiro, J Gjorgjieva, F Rieke, E Shea-Brown
Frontiers in computational neuroscience 8, 10, 2014
292014
Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity
N Cain, AK Barreiro, M Shadlen, E Shea-Brown
Journal of neurophysiology 109 (10), 2542-2559, 2013
292013
A-current and type I/type II transition determine collective spiking from common input
AK Barreiro, EL Thilo, E Shea-Brown
Journal of neurophysiology 108 (6), 1631-1645, 2012
272012
Bifurcation theory explains waveform variability in a congenital eye movement disorder
AK Barreiro, JC Bronski, TJ Anastasio
Journal of computational neuroscience 26, 321-329, 2009
202009
When do correlations increase with firing rates in recurrent networks?
AK Barreiro, C Ly
PLoS Computational Biology 13 (4), e1005506, 2017
192017
Investigating the correlation–firing rate relationship in heterogeneous recurrent networks
AK Barreiro, C Ly
The Journal of Mathematical Neuroscience 8, 1-25, 2018
142018
A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
AK Barreiro, SH Gautam, WL Shew, C Ly
PLoS Computational Biology 13 (10), e1005780, 2017
102017
Spectral gradient flow and equilibrium configurations of point vortices
A Barreiro, J Bronski, PK Newton
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2010
102010
When are feedforward microcircuits well-modeled by maximum entropy methods
A Barreiro, J Gjorgjieva, F Rieke, E Shea-Brown
arXiv preprint arXiv:1011.2797, 2010
92010
Data assimilation in the detection of vortices
A Barreiro, S Liu, NS Namachchivaya, PW Sauer, RB Sowers
Applications of Nonlinear Dynamics: Model and Design of Complex Systems, 47-59, 2009
92009
Differences in olfactory bulb mitral cell spiking with ortho-and retronasal stimulation revealed by data-driven models
MF Craft, AK Barreiro, SH Gautam, WL Shew, C Ly
PLoS Computational Biology 17 (9), e1009169, 2021
72021
Longshore current dislocation on barred beaches
AK Barreiro, O Bühler
Journal of Geophysical Research: Oceans 113 (C12), 2008
62008
Odor-evoked increases in olfactory bulb mitral cell spiking variability
C Ly, AK Barreiro, SH Gautam, WL Shew
Iscience 24 (9), 2021
52021
Practical approximation method for firing-rate models of coupled neural networks with correlated inputs
AK Barreiro, C Ly
Physical Review E 96 (2), 022413, 2017
52017
Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate models
C Ly, WL Shew, AK Barreiro
The Journal of Mathematical Neuroscience 9 (1), 2, 2019
42019
Symmetries constrain dynamics in a family of balanced neural networks
AK Barreiro, JN Kutz, E Shlizerman
The Journal of Mathematical Neuroscience 7, 1-28, 2017
32017
A geometric method for eigenvalue problems with low-rank perturbations
TJ Anastasio, AK Barreiro, JC Bronski
Royal Society open science 4 (9), 170390, 2017
32017
A favorable tradeoff between robustness and performance in sequential decision tasks
N Cain, A Barreiro, M Shadlen, E Shea-Brown
COSYNE: 2011, 2011
32011
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