Abstract and Keywords
This chapter proposes a Modified Feature Theory (MFT) as an account of visual categorization in pigeons. MFT combines elements of traditional theories of categorization but goes beyond them by also including novel aspects of feature learning like the notion of aligned and interconnected features and flexible switching between them. By covering category representations at various levels of complexity—ranging from basic low-level image statistics to the abstraction of complex targets and even representational insight—MFT is able to account for a wider variety of experimental results on pigeon visual categorization than any traditional version of feature theory.
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