Alan I. Green

This study uses machine learning to show that corticostriatal oscillations predict alcohol intake in male rats but not female rats.

The paper uses LFP oscillations from the ventral striatum to predict feeding behavior in rats, finding an optimal balance between model complexity and performance.

The paper uses machine learning to predict high vs. low alcohol-drinking rats based on corticostriatal oscillations and shows stimulation effects differ between groups.

The paper uses machine learning to predict deep brain stimulation outcomes in a rat binge eating model based on ventral striatal oscillations, finding better prediction accuracy than chance.