Darian H. Hadjiabadi

This paper shows that inhibitory plasticity during hippocampal replay helps infer world structure, with predictions about its impact on cognition and disease.

The paper introduces a computational framework for building and simulating large-scale biophysical neuronal networks, demonstrating its application to a rat dentate gyrus model with biologically plausible activity.

The paper identifies superhub cells in neural networks that, when targeted, more effectively stabilize epileptic networks compared to traditional hub cells.

This paper uses DCGAN to generate realistic dendritic morphologies of rodent hippocampal neurons, showing improved stability and generalization over existing methods.