Dynamic causal modelling
Dynamic causal modelling (DCM) is a method for the interpretation of functional neuroimaging data (e.g. fMRI). It is implemented in the Statistical parametric mapping software. DCM is a recent technique, developed only in 2003[1].
A collection of scientific articles related to DCM can be found on http://www.fil.ion.ucl.ac.uk/spm/doc/biblio/Keyword/DCM.html.
References
- ^ Friston, KJ (2003). "Dynamic causal modelling". Neuroimage. 19 (4): 1273–1302. doi:10.1016/S1053-8119(03)00202-7. PMID 12948688.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help)
 | Pages in this category should be moved to subcategories where applicable. This category may require frequent maintenance to avoid becoming too large. It should directly contain very few, if any, pages and should mainly contain subcategories. |
 | This template should only be transcluded in the category namespace(s). |
Neuroscience is a field of study which deals with the structure, development, genetics, biochemistry, physiology, pharmacology and pathology of the nervous system. Neurology, which literally means neuroscience, is a branch of medicine primarily interested in, but by no means restricted to studying pathology. Neurobiology is another synonym that exists in few languages, but is generally identical when it is not meant as a subcategory.