EDLUT is a computer program designed for high-speed simulation of spiking neural networks.
Richard R. Carrillo is assistant professor in the Department of Computer Architecture and Technology (ATC) of the University of Granada (UGR) and postodoctoral researcher of the Applied Computational Neuroscience (ACN) group in the Research Center for Information and Communications Technologies (CITIC-UGR). His research interests include computational neuroscience and efficient neural-network simulation methods, with a main focus on real-time simulation of biologically-inspired neural networks and its application to robot control.
More specifically, he has conducted research on event-driven simulation schemes, cerebellar modeling and plasticity, network synchronicity, control of robotic arm trajectory and neural modeling. He implemented the initial version of the software project EDLUT, which is an efficient simulator for spiking neural networks now released as open software.
You can find more information in his CV.
PhD. Thesis: Simulación Eficiente de Estructuras Neuronales Basadas en el Sistema Nervioso, 2008-2009
University of Cagliari-University of Granada
Ingeniería informática (Master of Science in Computer Science), 2002
University of Granada
Ingeniería técnica en informática de sistemas (Bachelor of Information Technology, 2000
University of Granada
This project aims to deepen the understanding of the cerebellum functioning through the implementation and simulation of a reduced cerebellar model.
EDLUT is a computer program designed for high-speed simulation of spiking neural networks.