Eduardo J. Izquierdo

A neuromechanical model of multiple network rhythmic pattern generators for forward locomotion in C. elegans

The paper investigates whether multiple network rhythmic pattern generators in C. elegans can drive forward locomotion without pacemaker neurons or stretch-receptor feedback using a simulation model.

Persistent thermal input controls steering behavior in Caenorhabditis elegans

The paper models C. elegans thermotactic steering behavior using a neuroanatomical model and evolutionary algorithm, finding that persistent thermal signals modulate steering rates to guide movement toward a target temperature.

Sources of predictive information in dynamical neural networks

This paper investigates how predictive information in dynamical neural networks originates, showing it can come from the environment or the agent's internal dynamics, and that it does not reliably indicate behavioral performance.

From head to tail: A neuromechanical model of forward locomotion in C. elegans

The paper develops a neuromechanical model of forward locomotion in C. elegans that integrates neuroanatomy, neurophysiology, and body mechanics to reproduce realistic movement patterns.