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      A Bird’s Eye View of Human Language Evolution

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          Abstract

          Comparative studies of linguistic faculties in animals pose an evolutionary paradox: language involves certain perceptual and motor abilities, but it is not clear that this serves as more than an input–output channel for the externalization of language proper. Strikingly, the capability for auditory–vocal learning is not shared with our closest relatives, the apes, but is present in such remotely related groups as songbirds and marine mammals. There is increasing evidence for behavioral, neural, and genetic similarities between speech acquisition and birdsong learning. At the same time, researchers have applied formal linguistic analysis to the vocalizations of both primates and songbirds. What have all these studies taught us about the evolution of language? Is the comparative study of an apparently species-specific trait like language feasible? We argue that comparative analysis remains an important method for the evolutionary reconstruction and causal analysis of the mechanisms underlying language. On the one hand, common descent has been important in the evolution of the brain, such that avian and mammalian brains may be largely homologous, particularly in the case of brain regions involved in auditory perception, vocalization, and auditory memory. On the other hand, there has been convergent evolution of the capacity for auditory–vocal learning, and possibly for structuring of external vocalizations, such that apes lack the abilities that are shared between songbirds and humans. However, significant limitations to this comparative analysis remain. While all birdsong may be classified in terms of a particularly simple kind of concatenation system, the regular languages, there is no compelling evidence to date that birdsong matches the characteristic syntactic complexity of human language, arising from the composition of smaller forms like words and phrases into larger ones.

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          Statistical learning by 8-month-old infants.

          Learners rely on a combination of experience-independent and experience-dependent mechanisms to extract information from the environment. Language acquisition involves both types of mechanisms, but most theorists emphasize the relative importance of experience-independent mechanisms. The present study shows that a fundamental task of language acquisition, segmentation of words from fluent speech, can be accomplished by 8-month-old infants based solely on the statistical relationships between neighboring speech sounds. Moreover, this word segmentation was based on statistical learning from only 2 minutes of exposure, suggesting that infants have access to a powerful mechanism for the computation of statistical properties of the language input.
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            Finite Automata and Their Decision Problems

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              Cortical representation of the constituent structure of sentences.

              Linguistic analyses suggest that sentences are not mere strings of words but possess a hierarchical structure with constituents nested inside each other. We used functional magnetic resonance imaging (fMRI) to search for the cerebral mechanisms of this theoretical construct. We hypothesized that the neural assembly that encodes a constituent grows with its size, which can be approximately indexed by the number of words it encompasses. We therefore searched for brain regions where activation increased parametrically with the size of linguistic constituents, in response to a visual stream always comprising 12 written words or pseudowords. The results isolated a network of left-hemispheric regions that could be dissociated into two major subsets. Inferior frontal and posterior temporal regions showed constituent size effects regardless of whether actual content words were present or were replaced by pseudowords (jabberwocky stimuli). This observation suggests that these areas operate autonomously of other language areas and can extract abstract syntactic frames based on function words and morphological information alone. On the other hand, regions in the temporal pole, anterior superior temporal sulcus and temporo-parietal junction showed constituent size effect only in the presence of lexico-semantic information, suggesting that they may encode semantic constituents. In several inferior frontal and superior temporal regions, activation was delayed in response to the largest constituent structures, suggesting that nested linguistic structures take increasingly longer time to be computed and that these delays can be measured with fMRI.
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                Author and article information

                Journal
                Front Evol Neurosci
                Front Evol Neurosci
                Front. Evol. Neurosci.
                Frontiers in Evolutionary Neuroscience
                Frontiers Research Foundation
                1663-070X
                13 April 2012
                2012
                : 4
                : 5
                Affiliations
                [1] 1simpleDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Cambridge, MA, USA
                [2] 2simpleDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology Cambridge, MA, USA
                [3] 3simpleDepartment of Behavioural Neurobiology, Max Planck Institute for Ornithology Seewiesen, Germany
                [4] 4simpleDepartment of Cognitive and Behavioral Sciences, The University of Tokyo Tokyo, Japan
                [5] 5simpleBehavioural Biology, Helmholtz Institute, University of Utrecht Utrecht, The Netherlands
                Author notes

                Edited by: Angela Dorkas Friederici, Max Planck Institute for Human Cognitive and Brain Sciences, Germany

                Reviewed by: Christopher I. Petkov, Newcastle University, UK; W. Tecumseh Fitch, University of Vienna, Austria

                *Correspondence: Robert C. Berwick, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 32D-728, 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 32D-728, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. e-mail: berwick@ 123456csail.mit.edu
                Article
                10.3389/fnevo.2012.00005
                3325485
                22518103
                3bc7aa13-a494-4a3c-af34-7bc89a7883d8
                Copyright © 2012 Berwick, Beckers, Okanoya and Bolhuis.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.

                History
                : 01 December 2011
                : 20 March 2012
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 143, Pages: 25, Words: 25902
                Categories
                Neuroscience
                Review Article

                Neurosciences
                birdsong,brain evolution,phonological syntax,speech
                Neurosciences
                birdsong, brain evolution, phonological syntax, speech

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