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Spike-based BCPNN estimates abstract BCPNN for different input patterns. Comparing weight and bias (inset) development under different protocols when using abstract (dotted) and SpiNNaker (solid) versions of the learning rule. SpiNNaker simulations were repeated 10 times and averaged, with standard deviations illustrated by the shaded regions.
