Information theoretic approaches to understanding circuit function A Fairhall, E Shea-Brown, A Barreiro Current opinion in neurobiology 22 (4), 653-659, 2012 | 49 | 2012 |
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 | 42 | 2010 |
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 | 32 | 2013 |
When do microcircuits produce beyond-pairwise correlations? AK Barreiro, J Gjorgjieva, F Rieke, E Shea-Brown Frontiers in computational neuroscience 8, 10, 2014 | 29 | 2014 |
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 | 26 | 2012 |
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 | 19 | 2009 |
When do correlations increase with firing rates in recurrent networks? AK Barreiro, C Ly PLoS Computational Biology 13 (4), e1005506, 2017 | 18 | 2017 |
Investigating the correlation–firing rate relationship in heterogeneous recurrent networks AK Barreiro, C Ly The Journal of Mathematical Neuroscience 8, 1-25, 2018 | 12 | 2018 |
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 | 10 | 2010 |
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 | 9 | 2017 |
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 | 9 | 2010 |
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 | 9 | 2009 |
Longshore current dislocation on barred beaches AK Barreiro, O Bühler Journal of Geophysical Research: Oceans 113 (C12), 2008 | 6 | 2008 |
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 | 5 | 2021 |
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), 1-11, 2019 | 5 | 2019 |
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 | 5 | 2017 |
Symmetries constrain dynamics in a family of balanced neural networks AK Barreiro, JN Kutz, E Shlizerman The Journal of Mathematical Neuroscience 7 (1), 1-28, 2017 | 3 | 2017 |
A geometric method for eigenvalue problems with low-rank perturbations TJ Anastasio, AK Barreiro, JC Bronski Royal Society open science 4 (9), 170390, 2017 | 3 | 2017 |
A favorable tradeoff between robustness and performance in sequential decision tasks N Cain, A Barreiro, M Shadlen, E Shea-Brown COSYNE: 2011, 2011 | 3 | 2011 |
When are microcircuits well-modeled by maximum entropy methods? AK Barreiro, ET Shea-Brown, FM Rieke, J Gjorgjieva BMC Neuroscience 11, 1-2, 2010 | 3 | 2010 |