Skip to main content
SpringerLink
Log in

Directed Information Flow and Causality in Neural Systems

  • Living reference work entry
  • First Online:
Book cover Encyclopedia of Computational Neuroscience

  • 325 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  • Granger CWJ (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3):424438

    Article  Google Scholar 

  • Kramer G (1998) Directed information for channels with feedback, vol 11, ETH series in information processing. HartungGorre, Konstanz

    Google Scholar 

  • Marko H (1973) The bidirectional communication theory a generalization of information theory. IEEE Trans Commun 21:1345–1351

    Article  Google Scholar 

  • Massey JL (1990) Causality, feedback and directed information. In: Proceedings of the 1990 international symposium on information theory and its applications, Hawaii, pp 303–305

    Google Scholar 

  • Massey JL, Massey PC (2005) Conservation of mutual and directed information. In: Proceedings of the 2005 international symposium on information theory, Adelaide, pp 157–158

    Google Scholar 

  • Quinn C, Coleman TP, Kiyavash N, Hatsopoulos NG (2011) Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J Comput Neurosci. doi:10.1007/s10827-010-0247-2

    PubMed Central  PubMed  Google Scholar 

  • Schreiber T (2000) Measuring information transfer. Phys Rev Lett 85:461–464

    Article  CAS  PubMed  Google Scholar 

  • Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423, and 623–656

    Article  Google Scholar 

  • So K, Koralek AC, Ganguly K, Gastpar MC, Carmena JM (2012) Assessing functional connectivity of neural ensembles using directed information. J Neural Eng 9:026004

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of California, Berkeley, CA, USA

    Michael C. Gastpar

  2. Ecole Polytechnique Fédérale de Lausanne (EPFL), EPFL-IC-ISC-LINX, BC 106, CH-1015, Lausanne, Switzerland

    Michael C. Gastpar

Authors
  1. Michael C. Gastpar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michael C. Gastpar .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Gastpar, M.C. (2014). Directed Information Flow and Causality in Neural Systems. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_141-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_141-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics

Search

Navigation