Christophe Gardella

This paper introduces a method to learn a neural metric from retinal ganglion cell activity to accurately discriminate visual stimuli based on spike trains.

The paper develops a method to estimate retinal network sensitivity to stimulus perturbations and finds a peak in sensitivity at specific frequencies, suggesting optimal information transmission.

This paper introduces a fast and accurate spike sorting algorithm for large-scale extracellular recordings, achieving near-optimal performance in both in vitro and in vivo settings.