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Renormalization Group / Cambridge University Press / Plexon Inc / CRC Press / Oxford University Press / MEA / Creative Commons / /
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Brazil / /
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pence / / /
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Natural Disaster / /
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Brain Institute / Federal University of Rio Grande / Lily Safra International Institute of Neuroscience / Federal University of Pernambuco / University of Michigan / /
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active site / post-synaptic site / subcritical and supercritical systems / cortical networks / excitable networks / quiescent network / power-law distributions / real-time supervised spike sorting / non-power-law distributions / neural networks / power-law behavior / sampled systems / non-power-law size distributions / excitable neural networks / map-based neural networks / smallworld network / brain networks / neuronal networks / subcritical systems / reagents/ materials/analysis tools / hypercubic stochastic excitable media / quiescent site / employed networks / power law responses / power-law size distributions / power-law event distributions / non-power-law experimental results / power-law distributed neuronal avalanches / power-law shape / supercritical networks / excitable media / supercritical systems / power law / random network / balanced cortical networks / twodimensional network / subcritical networks / left site / 2D network / power-law size distribution / random networks / in vitro and anesthetized systems / fitting a power law / /
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Van Quyen / Pasquale V / Michal Zochowski / /
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original author / Editor / Carpenter / waveform shape Author / Self-organized criticality model for brain plasticity / Fisher / /
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atropine sulfate / /
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L / /
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Michigan / /
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Parameters / Physica A / PLoS ONE / the PLOS ONE / /
Undersampled Critical Branching Processes on Small-World and Random Networks Fail to Reproduce the Statistics of Spike Avalanches Tiago L. Ribeiro1*, Sidarta Ribeiro2, Hindiael Belchior2, Fa´bio Caixeta2, Mauro Copelli1