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  Decision-Images: A tool for identifying critical stimulus features

Macke, J. (2006). Decision-Images: A tool for identifying critical stimulus features. Talk presented at 7th Conference of the Junior Neuroscientists of Tuebingen (NeNa 2006). Oberjoch, Germany.

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Macke, J1, 2, Author           
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: neurons- during a visual task is an important pre-requisite for computational models of visual cognition. We describe a technique for estimating high-dimensional decision-images, and apply the method to a psychophysical gender discrimination task. The use of regularization makes it possible to map out decision-images using a relatively small number of stimuli. Statistical analysis of the result shows a remarkable fit to the datasets collected—remarkable, as gender discrimination is a rather high-level visual task, and thus believed to be complex, but our model is conceptually rather simple. We demonstrate that the decision-images are sensitive to subtle changes in lighting, texture, and pose, and to individual differences in gender discrimination exhibited by our subjects. We show how decision-images can be used to create new stimuli, and how the approach can be generalized to non-linear and multi-scale decision-images. In addition, connections to reverse correlation techniques for receptive field estimation are described.

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 Dates: 2006-11
 Publication Status: Issued
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 Identifiers: URI: http://www.neuroschool-tuebingen-nena.de/index.php?id=284
BibTex Citekey: Macke2006
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Title: 7th Conference of the Junior Neuroscientists of Tuebingen (NeNa 2006)
Place of Event: Oberjoch, Germany
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