Language Evolution and Computation Bibliography

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Andreas Nieder
2016
Trends in neurosciences 39(12):813-829, 2016
Explaining the evolution of speech and language poses one of the biggest challenges in biology. We propose a dual network model that posits a volitional articulatory motor network (VAMN) originating in the prefrontal cortex (PFC; including Broca's area) that cognitively controls ...MORE ⇓
Explaining the evolution of speech and language poses one of the biggest challenges in biology. We propose a dual network model that posits a volitional articulatory motor network (VAMN) originating in the prefrontal cortex (PFC; including Broca's area) that cognitively controls vocal output of a phylogenetically conserved primary vocal motor network (PVMN) situated in subcortical structures. By comparing the connections between these two systems in human and nonhuman primate brains, we identify crucial biological preadaptations in monkeys for the emergence of a language system in humans. This model of language evolution explains the exclusiveness of non-verbal communication sounds (e.g., cries) in infants with an immature PFC, as well as the observed emergence of non-linguistic vocalizations in adults after frontal lobe pathologies.
2009
Current opinion in neurobiology 19(1):99--108, 2009
Symbol systems such as numbers and language are of paramount importance to human cognition. In number theory, numbers are symbolic signs embedded in a system of higher-order sign–sign relations. During ontogeny, numerical competence passes through ...