Skip to main content
SpringerLink
Log in

Dynamic Causal Modelling with Neural Population Models

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

  • 89 Accesses

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Buxton R, Wong E, Frank L (1998) Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 39:855–864

    CAS  PubMed  Google Scholar 

  • David O, Friston KJ (2003) A neural mass model for MEG/EEG: coupling and neuronal dynamics. Neuroimage 20:1743–1755

    PubMed  Google Scholar 

  • den Ouden HE, Daunizeau J, Roiser J, Friston KJ, Stephan KE (2010) Striatal prediction error modulates cortical coupling. J Neurosci 30:3210–3219

    Google Scholar 

  • Dima D, Roiser JP, Dietrich DE, Bonnemann C, Lanfermann H, Emrich HM, Dillo W (2009) Understanding why patients with schizophrenia do not perceive the hollow-mask illusion using dynamic causal modelling. Neuroimage 46:1180–1186

    PubMed  Google Scholar 

  • Fleming SM, Thomas CL, Dolan RJ (2010) Overcoming status quo bias in the human brain. Proc Natl Acad Sci 107:6005–6009

    PubMed Central  CAS  PubMed  Google Scholar 

  • Friston K, Harrison L, Penny W (2003) Dynamic causal modelling. Neuroimage 19:1273–1302

    CAS  PubMed  Google Scholar 

  • Garrido M, Kilner J, Kiebel S, Friston K (2007) Evoked brain responses are generated by feedback loops. Proc Natl Acad Sci 104:20961

    PubMed Central  CAS  PubMed  Google Scholar 

  • Jansen B, Rit V (1995) Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns. Biol Cybern 73:357–366

    CAS  PubMed  Google Scholar 

  • Kiebel S, David O, Friston K (2006) Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization. Neuroimage 30:1273–1284

    PubMed  Google Scholar 

  • Marreiros AC, Cagnan H, Moran RJ, Friston KJ, Brown P (2012) Basal ganglia-cortical interactions in Parkinsonian patients. Neuroimage 66:301–310

    PubMed  Google Scholar 

  • Moran RJ, Symmonds M, Stephan KE, Friston KJ, Dolan RJ (2011) An in vivo assay of synaptic function mediating human cognition. Curr Biol 21:1320–1325

    PubMed Central  CAS  PubMed  Google Scholar 

  • Šmídl V, Quinn AP (2006) The variational Bayes method in signal processing. Springer, New York

    Google Scholar 

  • Stephan KE, Penny WD, Marshall JC, Fink GR, Friston KJ (2005) Investigating the functional role of callosal connections with dynamic causal models. Ann N Y Acad Sci 1064:16–36

    PubMed Central  PubMed  Google Scholar 

  • Stephan K, Penny W, Moran R, den Ouden H, Daunizeau J, Friston K (2010) Ten simple rules for dynamic causal modeling. Neuroimage 49:3099–3109

    PubMed Central  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Virginia Tech Carilion Research Institute, Roanoke, VA, USA

    Rosalyn Moran

Authors
  1. Rosalyn Moran
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rosalyn Moran .

Editor information

Editors and Affiliations

  1. Department of Biology, Emory University, Atlanta, GA, USA

    Dieter Jaeger

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

    Ranu Jung

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this entry

Cite this entry

Moran, R. (2015). Dynamic Causal Modelling with Neural Population Models. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_57

Download citation

Publish with us

Policies and ethics

Search

Navigation