CoCoMac DATABASES ORT EXAMPLES DOCUMENTS REFERENCES CONTACTS

 
To overcome the "parcellation problem" of incompatible brain maps we have developed a mathematical approach named "Objective Relational Transformation" (ORT). Combining methods from formal logic, graph-theory and theoretical computer science, the main components of ORT are: new classifications for brain data and for relations between parcellation schemes,

operationalised codings for the description of published brain data,

an algebra of coordinate-independent transformation rules,

graphtheoretical algorithms, formal languages and finite automata for optimisation of data conversion.

ORT offers

objectivity by representing data in their original parcellation schemes,

flexibility by offering conversion of data into freely chosen brain maps,

reliability by using formal algorithms in the mapping process,

transparency by fully documenting the criteria and opinions on which the mapping process is based.

universality by making use of already published coordinate-independent data.

We have implemented ORT within the relational CoCoMac databases. Introductions to ORT have been published, including a complete description of the methodology (Stephan & Kötter 1998, 1999; Stephan et al. 2000a).


CoCoMac DATABASES ORT EXAMPLES DOCUMENTS REFERENCES CONTACTS

Computational | Systems | Neuroscience Group, 1997-2006