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Longer inhibitory connections can push simulated neural networks beyond critical tipping point

In neuroscience, the brain criticality hypothesis proposes that neurons in the brain are arranged in such a way that neural activity lies at or near a transition point between two extremes: an ordered state where neural activity dies out…

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In neuroscience, the brain criticality hypothesis proposes that neurons in the brain are arranged in such a way that neural activity lies at or near a transition point between two extremes: an ordered state where neural activity dies out quickly and a disordered state where neural activity tends to spread quickly and potentially grow uncontrollably. This transition point is known as criticality, while the two activity regimes on either side of it are known as subcritical and supercritical, respectively.

Read original at Medical Xpress

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