Nature Neuroscience8, 1647 - 1650 (2005)
Published online: 23 November 2005; | doi:10.1038/nn1606
In praise of artifice
Nicole C Rust1
& J Anthony Movshon2
1
Nicole C. Rust is at the Howard Hughes Medical Institute and the Center for Neural Science, New York, New York 10003, USA. rust@cns.nyu.edu
2
J. Anthony Movshon is at the Center for Neural Science, New York University, New York, New York 10003, USA.
The visual system evolved to process natural images, and the goal of visual neuroscience is to understand the computations it uses to do this. Indeed the goal of any theory of visual function is a model that will predict responses to any stimulus, including natural scenes. It has, however, recently become common to take this fundamental principle one step further: trying to use photographic or cinematographic representations of natural scenes (natural stimuli) as primary probes to explore visual computations. This approach is both challenging and controversial, and we argue that this use of natural images is so fraught with difficulty that it is not useful. Traditional methods for exploring visual computations that use artificial stimuli with carefully selected properties have been and continue to be the most effective tools for visual neuroscience. The proper use of natural stimuli is to test models based on responses to these synthetic stimuli, not to replace them.
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