1. A medical training system, comprising: a human mannequin; a central processor in the mannequin, the processor being configured to receive input; a multidimensional lookup table stored in a memory, the multidimensional lookup table relating inputs from a plurality of sensors to outputs including cardinal physiological status values; a physiological modeling system coupled to the central processor to control physiological responses of the training system for simulating responses of a human to trauma, wherein the physiological modeling system includes a plurality of effectors, and the central processor is configured to: determine a current physiological state using a selected trauma sequence, and a time duration since an initiation of the selected trauma sequence, receive an input value from at least one of the plurality of sensors, interpret the input value using the multidimensional lookup table to determine a new physiological state, and use at least one of the plurality of effectors to generate a physiological response, wherein the physiological response is at least partially determined by the new physiological state and includes at least one of clenching a jaw of the human mannequin, modifying a tone of a muscle of the human mannequin, simulating signs of a tonic-clonic seizure, and rolling back a pair of eyes of the human mannequin; and wherein the human mannequin includes a support structure corresponding to a human skeleton, wherein the support structure articulates at joints including neck, cervical spine, lumbar spine, shoulders, elbows, wrists, hips, knees, and ankles, wherein the central processor is configured to modify a resistance of at least one of the joints of the support structure based upon the new physiological state.