Sahil Moza

CeDNe integrates anatomical, molecular, and imaging data into a unified framework to model structure-function relationships in C. elegans neural circuits.

The paper uses network modularity to analyze time-varying functional connectivity in single-cell neural recordings, showing how context and network state influence module organization in C. elegans and whole-brain activity.

This study shows that aversive learning in C. elegans reorganizes neural dynamics globally, altering activity only during specific tasks while preserving essential functions.

The paper presents a database of bistable biochemical reaction networks and provides a web interface for analyzing their stability and parameters.

The paper investigates how different forms of robustness in chemical switches - noise, topology, and rates - are largely independent, with some topologies showing higher robustness across multiple dimensions.

The paper shows that precise excitation-inhibition balance and dynamic delays control input gating and subthreshold gain in hippocampal circuits.