A computer-implemented neurological data processing method for correlating a neural connection between at least two locations in a subject vertebrate brain 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, wherein the first and second element data is experimental data comprising one or more of: functional Magnetic Resonance Imaging (fMRI) data, Diffusion Tensor Imaging data, Magnetic Encephalography data, Positron Emission Tomography data, Single Photon Emission Computerized Tomography (SPECT) data, or Electroencephalography data data; b) acquiring neural connectivity data linking the first element data and the second element data, wherein the neural connectivity data comprises a representation of the strength of a functional and/or structural connection between the first location and the second location in the subject vertebrate brain obtained from the experimental data, and wherein the first element data, second element data, and the neural connectivity data form a semantic network; c) acquiring annotation data comprising anatomical brain atlas 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; f) acquiring query data encoding linguistic descriptors of primitives in the element data from a user; g) mapping the query data onto one or more items of element data in the neurological knowledge model; h) generating query result data based on the mapping of the query data onto one or more items of element data in the neurological knowledge model data using the formal linguistic specification derived from the semantic network; and i) outputting the query result data. 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, wherein the first and second element data is experimental data comprising one or more of: functional Magnetic Resonance Imaging (fMRI) data, Diffusion Tensor Imaging data, Magnetic Encephalography data, Positron Emission Tomography data, Single Photon Emission Computerized Tomography (SPECT) data, or Electroencephalography data data; b) acquiring neural connectivity data linking the first element data and the second element data, wherein the neural connectivity data comprises a representation of the strength of a functional and/or structural connection between the first location and the second location in the subject vertebrate brain obtained from the experimental data, and wherein the first element data, second element data, and the neural connectivity data form a semantic network; c) acquiring annotation data comprising anatomical brain atlas 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; f) acquiring query data encoding linguistic descriptors of primitives in the element data from a user; g) mapping the query data onto one or more items of element data in the neurological knowledge model; h) generating query result data based on the mapping of the query data onto one or more items of element data in the neurological knowledge model data using the formal linguistic specification derived from the semantic network; and i) outputting the query result data.