I studied theoretical physics at the University of the Basque Country,
Spain. My interests in biology brought me to the University of Oulu
(Finland) where I spent my last undergraduate year studying biophysics
and computation. I obtained my Ph.D. in physics at the University
of Potsdam (Germany) under the supervision of
Prof. Dr. Jurgen Kurths
and Prof. Changsong
Zhou. After visiting the
Bernstein Center for Computational
Neuroscience in Berlin, I am currently a post-doctoral researcher
at the Center for Brain and Cognition of the Universitat Pompeu Fabra
in the group of Prof. Gustavo Deco.
I am interested in everything that physics can help understand about
the nervous system, brain and cognition, but I find perticulary
challenging to study the brain in a "macroscopic" manner
rather than studying very localized and microscopic circuitries. If
we ever want to understand such a problem as cognition, we should try
to understand how information from different modalities and parts of
the brain do integrate together.
My work on cortical networks has also turned my attention to the study
of complex network theory. We are focused on improving current measurement
definitions, detection of community / hierarchical structures and, in
general, uncovering the relationship between structure and function:
how does a given topology influence the function of a real networked
system? How do the functional necessities and constraints of a system
govern the adaptive reshape of its topological organisation?
I have developed GAlib, a library for the analysis of graphs and complex networks using
Python and NumPy. The library is easy to install, use and extend. Find
a brief description here.
The library and further documentation can be downloaded from its
github repository page.