Alexey S. Kuznetsov

This study uses a piecewise linear recurrent neural network to identify generalizable latent dynamics in neural activity during decision-making in rodents, showing faster rotational dynamics for impulsive choices.

The paper develops a computational model of binge drinking circuitry, showing how interactions between brain regions generate the two-phase drinking pattern.

The paper develops a personalized literature review system using LLMs and hybrid ranking to summarize and rank biomedical literature effectively.

This paper introduces a computational model to explore how alcohol affects fear conditioning by simulating amygdala circuit changes and their impact on fear extinction.

This paper develops a computational model of cortico-striatal circuits to study how adaptive and habitual behaviors are controlled, showing that DMS and DLS subregions mediate different learning processes and that impaired executive control enhances inflexible behavior.

This paper models the basal ganglia's role in learning and executing rewarded actions, showing it is critical for learning but not for expressing previously learned choices, and identifies how disease states impair these processes.

This paper models circuit-level mechanisms of ethanol-induced dopamine release from the ventral tegmental area to nucleus accumbens, showing dose-dependent firing changes and the role of synchrony and glutamatergic input.