1. A computer-implemented method for analyzing neurological signals, comprising: monitoring neurological signals from users at multiple separate locations, wherein the neurological signals are associated with different electrode configurations; using a computer, modifying the monitored neurological signals to correct for the different electrode configurations so that a resulting set of modified neurological signals corresponds to a common electrode configuration so that a subset of the set of modified neurological signals can be identified, wherein the modifying involves at least one of: interpolating between the monitored neurological signals associated with a pair of adjacent electrodes in a given electrode configuration; interpolating between the monitored neurological signals associated with the pair of adjacent electrodes in the given electrode configuration based on the neurological signals associated with at least another electrode in the given electrode configuration; extrapolating the monitored neurological signals associated with at least a subset of the electrodes in the given electrode configuration; implied data correlation; and duplication of at least some of the monitored neurological signals; determining a neurological signature characteristic of a behavior exhibited or performed by multiple individuals corresponding to the monitored neurological signals, wherein the neurological signature includes a subset of the set of modified neurological signals; and providing a recommendation that guides improvements of the behavior based on the neurological signature.