Much of current visual neuroscience is performed using standardized procedures. Most notably, these generally include stimulus delivery using computer displays, the requirement of fixation, repeated performance of experimental conditions and lengthy conditioning of animals on tasks to allow for behavioral reports. Correlating neural responses with stimulus characteristics and behavior lies at the heart of systems neuroscience. These controlled conditions have many advantages, but at the same time can only represent an approximation of the processes that occur during real world vision. But how much are we missing under these constraints? Real world vision is characterized by eye movements in three dimensions as observers fixate and track objects in the environment. What are the characteristics of spike trains collected under such conditions and how do they differ from those collected during task performance. How much can be said about neural activity by applying the correlational approach to data acquired under these conditions? Does what we learn about neural activity and selectivity during task performance generalize to real world vision? To begin to address these questions, we have recorded extracellular activity of several inferior temporal cortex neurons simultaneously while monkeys viewed face and object stimuli presented on a computer monitor at the center of gaze during fixation. Then we record activity of the same neurons during interaction with a human experimenter, while measuring the monkeys’ eye position and recording the visual input using a camera. We compare