Neuronal spike trains are treated as Schwartz distributions to derive exact closed-form expressions for synaptic drive and spike timing without discretization or approximation.
Fast global oscillations in networks of integrate-and-fire neurons with low firing rates.Neural Computation, 11(7):1621–1671
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
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Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance
Neuronal spike trains are treated as Schwartz distributions to derive exact closed-form expressions for synaptic drive and spike timing without discretization or approximation.
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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.