Dynamics and Synchronization in Neuronal Models

Computational Neuroscience has emerged nowadays as a major area of study that tries to establish how the nervous system, and in particular the brain, works. This work modestly contributes to this area covering the study of crucial aspects of interacting neuronal networks. Fundamental questions such as how the presence of noise or heterogeneity affects the response of neuronal ensembles are studied. The relevance of the topology or delayed interactions in the synchronization of neuronal networks is also covered.

Autorentext

Toni Pérez obtained his PhD in Theoretical Physics from the Universitat de les Illes Balears in 2009. He is currently a postdoctoral fellow at Newcastle University, United Kingdom. His current research focus on complex systems and computational neuroscience.