Leandro M. Alonso

The paper compares the robustness of neural circuits to changes in intrinsic versus synaptic conductances and finds that intrinsic conductances have greater sensitivity.

The paper develops a computational model to explain how neurons retain memory of past perturbations through hidden changes in conductance regulation.

The paper uses computational models of crab and lobster pyloric circuits to show how temperature changes the relative contributions of currents to rhythmic activity, allowing smooth adaptation across temperatures.

The paper introduces visualization methods to analyze how ionic currents contribute to neuronal dynamics and how differences in conductance densities affect model behavior.

This paper develops a method to monitor anesthesia depth by analyzing brain dynamics, showing it can distinguish between awake and unconscious states with high accuracy.