ORCID: 0000-0001-9361-9619
Scopus Author ID: 22942674100
ResearcherID: A-2648-2012


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 (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.

Professional Trajectory

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

Selected Publications

Brain connectivity / Computational neuroscience
  1. 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).
  2. 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).
  3. 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-LópezChaos 27, 047409 (2017).
  4. 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).
  5. 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
  1. 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.
  2. 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).
  3. Individual node’s contribution to the mesoscale of complex networks.
    F. Klimm, J. Borge-Holthoeffer, N. Wessel, J. Kurths and G. Zamora-LópezNew J. Physics 16:125006 (2014).
  4. 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).
  5. Sizing complex networks.
    G. Zamora-López and Romain Brasselet. Comms. Phys. 2, 144 (2019).