Dr. rer. nat. in physics by the University of Potsdam, Germany. My research interests span along theoretical and practical problems of neuroscience and complex networks. Specially at their intersection: brain connectivity.
Interdisciplinary research and team-work oriented. I understand science as a synergistic cooperative endevour rather than a competitive race to nowhere. I know how to dream big but my daily work focuses in answering specific questions and solving real problems. For that, I will improve existing methods and theories, or develop my own if needed.
I am an active member of the scientific community with +30 publications and three book chapters that have accumulated +1000 citations (h-index = 13). I have presented my work in +40 scientific meetings and I act as reviewer for several journals. Member of the regional catalan network for complex systems Complexitat.cat (board since 2017). I have co-organised +10 workshops and educational events. I have supervised the diploma / master /Ph.D. thesis of +15 students.
Currently, I am a senior research assistant at the Center for Brain and Cognition of the Pompeu Fabra University. Since 2016 I work for the Human Brain Project where I combine my daily research with the co-leadership of work-packages and the coordination of technological solutions for scientific pipelines.
|2002 – 2003||Physics studies (Erasmus) – Biophysics and computation. University of Oulu, Finland.|
|2003||M. Sc. (Licenciado) in Theoreitcal Physics. University of the Basque Country, Spain.|
|2009||Dr. rer. nat. in Physics (summa cum laude). “Linking structure and function of complex cortical networks“, University of Postdam, Germany.
Supervision by Profs. Jürgen Kurths and Changsong Zhou.
|2009 – 2010||Post-doctoral Research Assistant – Center for Dynamics of Complex Systems (DYCOS).
University of Potsdam, Germany.
|2010 – 2012||Post-doctoral Research Assistant – Bernstein Center for Computational Neuroscience.
Institute of Physics, Humboldt-Universitaet zu Berlin, Germany.
|2013 – present||Post-doctoral Research Assistant – Center for Brain and Cognition.
Pompeu Fabra University, Barcelona, Spain.
|2016 – present||Post-doctoral Research Assistant and Project Manager – The Human Brain Project.|
Grants and Awards
|2005||Best poster award. Summer school on Nonlinear Dynamics in Biophysics –Max-Planck Insititute for Complex Systems, Dresden (Germany).
Title: “Cerebral cortex: a network theoretical approach.”
|2009||Carl-Ramsauer prize by the “Deutsche Physikalische Gesellschaft zu Berlin” (DPGzB)|
|2013||Marie-Curie Fellowship (IEF) of the European Commission.|
Participation in publicly funded projects
|2007 – 2010||DFG Research group FOR 868 “Computational modeling of behavioural, cognitive and neural dynamics.” Project A3: “Dynamical modeling of complex networks from EEG.”
Funded by the Deutsche Forschungsgemeinschaft (Germany).
|2010 – 2011||Bernstein Center for Computational Neuroscience – Berlin. Project B6 “Testing Predictive Coding as a Principle Mechanism for Perceptual Inference and Learning.”
Funded by the German Ministry of Education and Research.
|2016 – 2018||The Human Brain Project – SGA1. “SP4: Theoretical Neuroscience.”
Funded by the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 720270.
|2018 – 2020||The Human Brain Project – SGA2. “SP4: Theoretical Neuroscience.”
Funded by the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907.
|2020 – present||The Human Brain Project – SGA3. “WP1: The human multiscale brain connectome and its variability – from synapses to large-scale networks and function” & “WP2: Networks underlying brain cognition and consciousness.”
Funded by the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539.
- GAlib. Principal developer (Python). A package for the analysis of graphs and complex networks.
- PathLims. Principal developer (Python). A package to generate ultra-short and ultra-long (di)graphs.
- NetDynFlow. Principal developer (Python). Network analysis based on the propagation of noise.
- pyMOU. Co-developer (Python). Whole-brain effective connectivity estimation from fMRI signals.
Spanish, English, German, Basque
Brain connectivity / Computational neuroscience
- Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks.
G. Zamora-López, C.S. Zhou, J. Kurths. Front. Neuroinform. 4:1 (2010).
- Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs.
G. Zamora-López, Y. Chen, G. Deco, M.L. Kringelbach and C.S. Zhou. Sci. Reps. 6:38424 (2016).
- How structure sculpts function: unveiling the contribution of anatomical connectivity to the brain’s spontaneous correlation structure
R.G. Bettinardi, G. Deco, V.M. Karlaftis, T.J. Van Hartevelt, H.M. Fernandes, Z. Kourtzi, M. Kringelbach and G. Zamora-López. Chaos 27, 047409 (2017).
- Model-based whole-brain effective connectivity to study distributed cognition in health and disease.
M. Gilson, G. Zamora-López, V. Pallarés, M.H. Adhikari, M. Senden, A. Tauste Campo, D. Mantini, M. Corbetta, G. Deco and A. Insabato. Network Neurosci. 4(2), 338-373 (2020).
- Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals.
G. Hahn, G. Zamora-López, L. Uhrig, E. Tagliazucchi, H. Laufs, D. Mantini, M.L. Kringelbach, B. Jarraya and G. Deco. NeuroImage 226, 117470 (2020).
Complex networks / graph theory
- Global Properties of Networks
R. Steuer and G. Zamora-López. In “Analysis of Biological Networks.” Edited by B. H. Junker and F. Schreiber, Wiley, Hoboken, New Jersey, USA (2008). Wiley series on Bioniformatics, Computational Techniques and Engineering. ISBN: 978-0-470-04144-4.
- Reciprocity of networks with degree correlations and arbitrary degree distribution.
G. Zamora-López, V. Zlatic, C.S. Zhou, H. Štefancic and J. Kurths. Phys.Rev. E 77, 016106 (2008).
- Individual node’s contribution to the mesoscale of complex networks.
F. Klimm, J. Borge-Holthoeffer, N. Wessel, J. Kurths and G. Zamora-López. New J. Physics 16:125006 (2014).
- Chimera-like States in Modular Neural Networks.
J. Hizanidis, N.E. Kouvaris, G. Zamora-López, A. Díaz-Guilera and C.G. Antanopoulos. Sci. Reps. 6:19845 (2016).
- Sizing complex networks.
G. Zamora-López and Romain Brasselet. Comms. Phys. 2, 144 (2019).