Curtis L. Neveu

This paper introduces CircuitGNN, a graph neural network that infers neural connectivity from population activity, showing high accuracy and robustness across different circuit sizes and recording conditions.

The paper investigates how inhibitory currents constrain plateau potentials in neurons by comparing three Aplysia neurons with different bursting behaviors.

The paper identifies specific plasticity loci and their synergistic interactions in operant conditioning in Aplysia, showing how these changes mediate behavioral adaptations.

This study adapts a functional neurocartography framework to Aplysia buccal ganglia to improve neuron correspondence across subjects using unsupervised machine learning.