Dynamic causal models and autopoietic systems.

Olivier David 1, *
Abstract : Dynamic Causal Modelling (DCM) and the theory of autopoietic systems are two important conceptual frameworks. In this review, we suggest that they can be combined to answer important questions about self-organising systems like the brain. DCM has been developed recently by the neuroimaging community to explain, using biophysical models, the non-invasive brain imaging data are caused by neural processes. It allows one to ask mechanistic questions about the implementation of cerebral processes. In DCM the parameters of biophysical models are estimated from measured data and the evidence for each model is evaluated. This enables one to test different functional hypotheses (i.e., models) for a given data set. Autopoiesis and related formal theories of biological systems as autonomous machines represent a body of concepts with many successful applications. However, autopoiesis has remained largely theoretical and has not penetrated the empiricism of cognitive neuroscience. In this review, we try to show the connections that exist between DCM and autopoiesis. In particular, we propose a simple modification to standard formulations of DCM that includes autonomous processes. The idea is to exploit the machinery of the system identification of DCMs in neuroimaging to test the face validity of the autopoietic theory applied to neural subsystems. We illustrate the theoretical concepts and their implications for interpreting electroencephalographic signals acquired during amygdala stimulation in an epileptic patient. The results suggest that DCM represents a relevant biophysical approach to brain functional organisation, with a potential that is yet to be fully evaluated.
Document type :
Journal articles
Complete list of metadatas

Cited literature [39 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00381532
Contributor : Olivier David <>
Submitted on : Thursday, May 21, 2009 - 6:39:17 PM
Last modification on : Thursday, February 1, 2018 - 1:11:46 AM
Long-term archiving on : Thursday, June 10, 2010 - 10:46:47 PM

Files

inserm-00381532_edited.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inserm-00381532, version 1
  • PUBMED : 18575681

Collections

U836 | UGA

Citation

Olivier David. Dynamic causal models and autopoietic systems.. Biological Research, Sociedad de Biología de Chile, 2007, 40 (4), pp.487-502. ⟨inserm-00381532⟩

Share

Metrics

Record views

221

Files downloads

482