<ul><li>A novel neuroplasticity rule has been proposed for implementing backpropagation (BP) in the brain.</li><li>The rule is based on maintaining the balance of excitatory and inhibitory inputs, as well as on retrograde signaling.</li><li>It operates over three progressively slower timescales: neural firing, retrograde signaling, and neural plasticity.</li><li>Simulations on artificial neural networks show that this rule induces varying community structures in networks.</li></ul>

Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule

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