Irene Elices

An electrophysiological and kinematic model of Paramecium, the "swimming neuron"

The paper develops a biophysical model of Paramecium's action potential and couples it to kinematic parameters to simulate autonomous behavior and environmental interactions.

Automatic adaptation of model neurons and connections to build hybrid circuits with living networks

This paper develops algorithms for automatically adapting model neurons and connections to build hybrid circuits with living neural networks, enabling closed-loop communication and system dynamics characterization.

Robust dynamical invariants in sequential neural activity

The paper identifies dynamical invariants in neural activity sequences that maintain robustness and flexibility in central pattern generator circuits.

RTHybrid: a standardized and open-source real-time software model library for experimental neuroscience

RTHybrid provides a standardized, open-source real-time software library for building hybrid circuits with living neurons, comparing real-time operating systems for performance and usability.