Francisco B. Rodrı́guez

This paper predicts individual working memory performance using EEG spatiotemporal features and shows that spatiotemporal characteristics can be used to customize WM tasks and optimize electrode use.

This paper develops a computational model of the electromotor command system in electric fish that reproduces pulse interval sequences across synthetic and real data.

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.

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

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.