Neurological Data Processing

A computer-implemented neurological data processing method comprising:

• a) acquiring first element data and second element data representing, respectively, attributes of a first location and a second location in a subject vertebrate brain;
• b) acquiring neural connectivity data linking the first element data and the second element data, wherein the neural connectivity data comprises a representation of a functional and/or structural connection between the first location and the second location in the subject vertebrate brain, and wherein the first element data, second element data, and the neural connectivity data form a semantic network;
• c) acquiring annotation data comprising object data;
• d) mapping the annotation data to the neural connectivity data to thus generate neurological knowledge model data related to the subject vertebrate brain, wherein the neurological knowledge model data is a computer implemented semantic network implemented using a database and capable of being queried using a formal linguistic specification, wherein the formal linguistic specification is derived from the semantic network;
• and
• e) outputting the neurological knowledge model data.

An apparatus for processing neurological data comprising:

• a data input module;
• an object data processing module;
• a relationship data processing module;
• an annotation data processing module;
• and
• a data output module;
• wherein the object data processing module is configured to acquire first element data and second element data representing, respectively, attributes of a first location and a second location of a subject vertebrate brain;
• wherein the relationship data processing module is configured to acquire neural connectivity data linking the first element data and the second element data, wherein the neural connectivity data comprises a representation of a functional and/or structural connection between the first region and the second region of the subject vertebrate brain, and wherein the first element data, second element data, and the neural connectivity data form a semantic network;
• wherein the annotation data processing module is configured to acquire annotation data comprising object data, and to map the annotation data to the neural connectivity data to thus generate neurological knowledge model data related to the subject vertebrate brain, wherein the neurological knowledge model data is a computer-implemented semantic network implemented using a database capable of being queried using a formal linguistic specification, wherein the formal linguistic specification is derived from the semantic network;
• and
• wherein the data output module is configured to output the neurological knowledge model data.

A computer program product, tangibly embodied on a carrier medium, comprising software code to cause a computer to:

• a) acquire first element data and second element data representing, respectively, attributes of a first location and a second location in a subject vertebrate brain;
• b) acquire neural connectivity data linking the first element data and the second element data, wherein the neural connectivity comprises a representation of a functional and/or structural connection between the first location and the second location in the subject vertebrate brain, and wherein the first element data, second element data, and the neural connectivity data form a semantic network;
• c) acquire annotation data comprising object data;
• d) map the annotation data to the neural connectivity data to thus generate neurological knowledge model data related to the subject vertebrate brain, wherein the neurological knowledge model data is a computer-implemented semantic network implemented using a database and capable of being queried using a formal linguistic specification, wherein the formal linguistic specification is derived from the semantic network;
• and
• e) output the neurological knowledge model data.