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There is growing interest in the neuroscience community to understand how humans and other animals interact with the complexities of the real world. Departing from conventional laboratory experiments based on simple, well-controlled and contrived stimulus-response paradigms, natural stimuli require more sophisticated data analysis techniques and computational models to interpret the data. There is a pressing need to develop such techniques and models, as many of the most interesting questions about human and animal vision, cognition, and goal-directed behavior can only be studied with complex natural stimuli. We believe that a key enabler/catalyst to the development of further analysis tools and computational models is to make existing data widely available.

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