1. A system for intelligent goal-directed search in large volume imagery and video, comprising: an imager configured to produce an image of a scene; a display for displaying the image to an operator; a display processor configured to assemble the image and control an appearance of the image as seen by the operator on the display; operator controls configured to allow the operator to select from one or more operating modes and to navigate the image as seen on the display; a cognitive-neural subsystem configured to locate regions of interest in the image, the cognitive-neural subsystem comprising: a cognitive module configured to extract a set of regions of interest from the image using a cognitive algorithm; and a neural module Configured to refine the set of regions of interest using a neural processing algorithm to produce a prioritized set of regions of interest; wherein the system is configured to operate in one or more operating modes selected from a group consisting of a batch mode, a semi-interactive mode, a real-time mode, and a roaming mode; wherein the cognitive neural subsystem further comprises an adaptation module configured to bias the cognitive algorithm based on information gained from the neural processing algorithm; wherein when operating in batch mode, the system is configured to: pre-select a portion of an image containing a potential region of interest using the cognitive algorithm; display the pre-selected portion of the image to the operator using Rapid Serial Visual Presentation (RSVP); measure an operator response to the pre-selected portion of the image using Electro-encephalography (EEG); when the pre-selected portion of the image yields a high EEG response, present the portion to the operator for operator-controlled visual inspection and validation; and when the pre-selected portion of the image was validated by the operator, bias the cognitive algorithm based on the pre-selected portion of the image validated by the operator, whereby the performance of the cognitive algorithm is improved in future searches.