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Gentner, T. Q. (2004). Neural Systems for Individual Song Recognition in Adult Birds. Ann. N.Y. Acad. Sci., 1016(1), 282–302.
Abstract: The songbird auditory system is an excellent model for neuroethological studies of the mechanisms that govern the perception and cognition of natural stimuli (i.e., song), and the translation of corresponding representations into natural behaviors. One common songbird behavior is the learned recognition of individual conspecific songs. This chapter summarizes the research effort to identify the brain regions and mechanisms mediating individual song recognition in European starlings, a species of songbird. The results of laboratory behavioral studies are reviewed, which show that when adult starlings learn to recognize other individual's songs, they do so by memorizing large sets of song elements, called motifs. Recent data from single neurons in the caudal medial portion of the mesopallium are then reviewed, showing that song recognition learning leads to explicit representation of acoustic features that correspond closely to specific motifs, but only to motifs in the songs that birds have learned to recognize. This suggests that the strength and tuning of high-level auditory object representations, of the sort that presumably underlie many forms of vocal communication, are shaped by each animal's unique experience.
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Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C. (2006). Recursive syntactic pattern learning by songbirds. Nature, 440(7088), 1204–1207.
Abstract: Humans regularly produce new utterances that are understood by other members of the same language community. Linguistic theories account for this ability through the use of syntactic rules (or generative grammars) that describe the acceptable structure of utterances. The recursive, hierarchical embedding of language units (for example, words or phrases within shorter sentences) that is part of the ability to construct new utterances minimally requires a 'context-free' grammar that is more complex than the 'finite-state' grammars thought sufficient to specify the structure of all non-human communication signals. Recent hypotheses make the central claim that the capacity for syntactic recursion forms the computational core of a uniquely human language faculty. Here we show that European starlings (Sturnus vulgaris) accurately recognize acoustic patterns defined by a recursive, self-embedding, context-free grammar. They are also able to classify new patterns defined by the grammar and reliably exclude agrammatical patterns. Thus, the capacity to classify sequences from recursive, centre-embedded grammars is not uniquely human. This finding opens a new range of complex syntactic processing mechanisms to physiological investigation.
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