Netta Cohen

The paper introduces the C. elegans Connectome Toolbox, a framework for integrating and analyzing multimodal connectomic data, enabling comparison across datasets and modalities.

This study shows that Caenorhabditis elegans uses a hierarchical locomotion strategy to achieve optimal volumetric coverage in search tasks, with movement patterns shaped by a cost hierarchy and embodied constraints.

This study shows that plasticity in C. elegans sensory neurons allows for a behavioral switch between salt attraction and avoidance, revealing context-dependent sensory encoding.

The paper shows inhibition is crucial for fast undulatory locomotion in C. elegans, not direction, and demonstrates its role through experiments and computational models.

The paper presents a complete structure-function model of the C. elegans nerve ring by integrating volumetric reconstructions with synaptic and gap junctional connectomes, revealing modular organization and a reference core circuit.

The paper reconstructs the C. elegans nerve ring at two time points and identifies three levels of wiring specificity, suggesting non-spatial factors contribute to synaptic and subcellular specificity.

The paper studies how neural, mechanical, and environmental factors modulate locomotion in C. elegans using a computational model.

The paper investigates how sensory inputs affect neuromechanical phase lag and locomotion speed in C. elegans by modeling feed forward and feedback controlled undulations.