J. J. Johannes Hjorth

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

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.

The paper quantifies developmental dynamics of retinocollicular projection ordering in mice and shows a combined activity-molecular model can capture segregation and convergence changes.

This study shows that developing medial entorhinal cortex (MEC) networks in rodents are synchronously active in spatially-grouped modules, which may help establish spatially-tuned firing properties.