Ranmal Aloka Samarasinghe

The paper introduces a self-exciting population model to analyze calcium-imaging data from human brain assembloids, revealing increased history-dependent amplification in MAPT mutants.

The paper develops a time-resolved network analysis pipeline to detect differences in neuronal network dynamics between disease and control assembloids, finding increased degree variance and clustering in mutant networks.

This study uses human brain assembloids to model how a genetic epilepsy syndrome affects cortical and hippocampal networks differently, revealing distinct dysfunction patterns.

This study identifies neural oscillations and epileptiform changes in human brain organoids derived from MECP2 mutant patients using calcium imaging and extracellular recordings.