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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
In praise of artifice
Nicole C Rust1, J Anthony Movshon
1Howard Hughes Medical Institute and the Center for Neural Science, New York, New York 10003, USA. rust@cns.nyu.edu
Visual neuroscience traditionally uses artificial stimuli to study visual computations. While natural images can test models, they are not effective primary tools for exploring visual system functions.
Area of Science:
- Visual neuroscience
- Computational neuroscience
- Image processing
Background:
- The visual system evolved to process natural images.
- Understanding visual computations is a primary goal of visual neuroscience.
- Models of visual function aim to predict neural responses to diverse stimuli, including natural scenes.
Purpose of the Study:
- To evaluate the utility of natural images as primary probes for exploring visual computations.
- To critically assess the challenges and controversies surrounding the use of natural stimuli in visual neuroscience.
- To reaffirm the effectiveness of traditional methods using artificial stimuli.
Main Methods:
- Critically analyzing the methodology of using natural images (photographic/cinematographic representations) as primary research tools.
- Comparing the efficacy of natural stimuli versus artificial stimuli in visual neuroscience research.
- Reviewing established practices in visual neuroscience for probing visual computations.
Main Results:
- The use of natural images as primary probes for visual computations is fraught with difficulties and is not considered useful.
- Traditional methods employing artificial stimuli with specific properties remain the most effective tools for visual neuroscience.
- Natural stimuli are best suited for testing models derived from studies using synthetic stimuli, not for replacing them.
Conclusions:
- Artificial stimuli are superior to natural images for the primary exploration of visual computations.
- The role of natural stimuli in visual neuroscience should be limited to validating models, not as foundational research tools.
- Continued reliance on carefully designed artificial stimuli is crucial for advancing the understanding of the visual system.
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