Daniel Chicharro

Post Doc

Research Lines

Neural Computation


CNCS@UniTn Trento


Center for Neuroscience and Cognitive Systems, Italian Institute of Technology, Corso Bettini 31


2012-:  Post-Doc researcher at the Group of Neural Computation of Prof. Stefano 


           Center for Neuroscience and Cognitive systems

           Italian Institute of Technology


2011: Post-doc researcher of the BrainScaleS EU FET-Proactive FP7 project.

          Center for Brain and Cognition

          Universitat Pompeu Fabra, Barcelona


2007 -2011: PhD in Time-series Analysis and Computational Neuroscience.

                   Supervisor: Ralph G. Andrzejak

                   Universitat Pompeu Fabra, Barcelona


2006-2007: Master in Artificial intelligence and Computational Neuroscience

                  Dept. Information and Communication Tecnologies,

                  Universitat Pompeu Fabra


2004-2006: Degree in Computational Linguistics

                  Universitat Pompeu Fabra, Barcelona



1998 - 2002: Degree in Physics

                    Universitat Autonoma de Barcelona UAB, Barcelona

Selected Publications

  • A causal perspective on the analysis of signal and noise correlations and their role in population coding. Chicharro D (2014) Neural Computation 26:1-56 (Below for pdf)


  • Parametric and non-parametric criteria for causal inference from time-series Chicharro D(2014) in Directed information measures in neuroscience, edited by : Wibral, M, Vicente, R, Lizier, JT. Springer, Berlin (below for pdf)


  • Monitoring spike train synchrony Kreuz T, Chicharro D, Houghton C, Andrzejak RG, Mormann F (2013) J Neurophysiol 109:1457-1472


  • Framework to study dynamic dependencies in networks of interacting processes Chicharro D, Ledberg A (2012) Phys. Rev. E 86 041901  (below for pdf)


  • When two become one: The limits of causality analysis of brain dynamics Chicharro D, Ledberg A (2012) PLoS One 7(3):e32466
  • On the spectral formulation of Granger causality Chicharro D (2011) Biological Cybernetics, 105(5-6):331-47.   (below for pdf)
  • What can spike train distances tell us about the neural code? Chicharro D, Kreuz T, Andrzejak RG (2011) Journal of Neuroscience Methods 199:146-165.
  • Using bivariate signals to characterize the epileptic process: the benefit of surrogates  Andrzejak RG, Chicharro D, Lehnertz K, Mormann F (2011) Phys. Rev. E 83:046203.
  • Time-resolved and time-scale adaptive measures of spike train synchrony. Kreuz T, Chicharro D, Greshner M, Andrzejak RG (2011) Journal of Neuroscience Methods 195:92-106.
  • Reliable detection of directional couplings using rank statistics. Chicharro D, Andrzejak RG (2009) Phys. Rev. E 80:026217.
  • Seizure prediction: Any better than chance? Andrzejak RG, Chicharro D, Elger CE, Mormann F (2009) Clinical Neurophysiology 120:1465-1478
  • Measuring multiple spike train synchrony Kreuz T, Chicharro D, Andrzejak RG, Haas JS, Abarbanel HDI (2009) Journal of Neuroscience Methods 183:287-299.