An applet for the Gabor similarity scaling of the differences between complex stimuli
| Autor: | Eshed Margalit, Xiaomin Yue, Sarah B. Herald, Christoph von der Malsburg, Irving Biederman |
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| Rok vydání: | 2016 |
| Předmět: |
Linguistics and Language
media_common.quotation_subject Experimental and Cognitive Psychology Models Psychological computer.software_genre 050105 experimental psychology Language and Linguistics 03 medical and health sciences Neural activity 0302 clinical medicine Discrimination Psychological Face perception Perception Similarity (psychology) Humans 0501 psychology and cognitive sciences Representation (mathematics) Scaling Java applet media_common Communication Basis (linear algebra) business.industry 05 social sciences Pattern recognition Sensory Systems Form Perception Pattern Recognition Visual Artificial intelligence business Psychology computer Facial Recognition 030217 neurology & neurosurgery Software |
| Zdroj: | Attention, perceptionpsychophysics. 78(8) |
| ISSN: | 1943-393X |
| Popis: | It is widely accepted that after the first cortical visual area, V1, a series of stages achieves a representation of complex shapes, such as faces and objects, so that they can be understood and recognized. A major challenge for the study of complex shape perception has been the lack of a principled basis for scaling of the physical differences between stimuli so that their similarity can be specified, unconfounded by early-stage differences. Without the specification of such similarities, it is difficult to make sound inferences about the contributions of later stages to neural activity or psychophysical performance. A Web-based app is described that is based on the Malsburg Gabor-jet model (Lades et al., 1993), which allows easy specification of the V1 similarity of pairs of stimuli, no matter how intricate. The model predicts the psycho physical discriminability of metrically varying faces and complex blobs almost perfectly (Yue, Biederman, Mangini, von der Malsburg, & Amir, 2012), and serves as the input stage of a large family of contemporary neurocomputational models of vision. |
| Databáze: | OpenAIRE |
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