Back to list

Daniel Chicharro

Post Doc

Research Line

Neural Computation


CNCS@UniTn Trento


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


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.


IIT's website uses the following types of cookies: browsing/session, analytics, functional and third party cookies. Users can choose whether or not to accept the use of cookies and access the website. By clicking on "Further Information", the full information notice on the types of cookies will be displayed and you will be able to choose whether or not to accept them whilst browsing on the website
Further Information
Accept and close