A spike-triggered extrapolation algorithm classifies excitatory, inhibitory, or null synapses from bivariate spike trains in Galves-Löcherbach neuronal networks, achieving error-free identification in simulations across noise levels and topologies.
Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
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Synaptic Classification via Spike-Triggered Extrapolation
A spike-triggered extrapolation algorithm classifies excitatory, inhibitory, or null synapses from bivariate spike trains in Galves-Löcherbach neuronal networks, achieving error-free identification in simulations across noise levels and topologies.