Most linear ODEs exhibit complexity blowup in digital simulation unless they meet specific algebraic degeneracy conditions, extending prior first-order characterizations.
Networks of spiking neurons: the third generation of neural network models
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Ferroelectric synapse hardware supports adaptive spiking neural networks for subject-specific EEG motor imagery classification with accuracy comparable to software versions.
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Complexity Theory meets Ordinary Differential Equations
Most linear ODEs exhibit complexity blowup in digital simulation unless they meet specific algebraic degeneracy conditions, extending prior first-order characterizations.
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Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing
Ferroelectric synapse hardware supports adaptive spiking neural networks for subject-specific EEG motor imagery classification with accuracy comparable to software versions.