HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A hybrid approach produces a simple circuit implementation of a bursting neuron from phase-locked loop equations.
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Power law scaling for classification accuracy in physical neural networks
HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.
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Electronic Bursting Neuron: design, equations and hardware implementation
A hybrid approach produces a simple circuit implementation of a bursting neuron from phase-locked loop equations.