Alexander Kozlov

The paper implements a differentiable AdEx neuron model with surrogate gradients, showing it is faster than traditional methods but gradient-based fitting still struggles with spike mechanisms.

This in-silico study predicts how Parkinson's disease alters striatal network connectivity and glutamatergic drive to striatal projection neurons.

This paper develops a multiscale model of striatum microcircuit dynamics, capturing responses to brain rhythms, dopamine effects, and reinforcement learning.

This paper introduces a GPU-based framework that accelerates neuron simulations and applies it to neuroscience and AI tasks, showing significant speed improvements over traditional methods.

The paper describes an open-source pipeline using Snudda to predict microcircuit connectivity and set up simulations for mouse dorsal striatum, illustrating steps for modeling subcortical nuclei.