Paul Adkisson

The paper introduces a modular framework for spike sorting that allows individual algorithmic steps to be benchmarked and optimized, improving performance on simulated data and matching real data results.

This study compares galvanic and pulsatile stimulation effects on a decision-making neural network model, finding that low-amplitude galvanic stimulation produces more distributed responses, while high-amplitude galvanic stimulation can directly activate or block neurons.