TIDE is a neuro-inspired architecture using stabilized asymmetric E-I networks with lateral inhibition and 80:20 balance that trains in under half the time of CTM while gaining +1.65% top-1 accuracy on perturbed ImageNet.
Complex-valued neural networks: A comprehensive survey.IEEE/CAA Journal of Automatica Sinica, 9(8):1406–1426
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Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.
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TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics
TIDE is a neuro-inspired architecture using stabilized asymmetric E-I networks with lateral inhibition and 80:20 balance that trains in under half the time of CTM while gaining +1.65% top-1 accuracy on perturbed ImageNet.
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Complex Diffusion Maps with $\omega$-Parameterized Kernels Revealing Inherent Harmonic Representations
Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.