Grammatical Parameters from a Gene-like Code to Self-Organizing Attractors
Giuseppe Longobardi, Alessandro Treves

TL;DR
This paper explores a bio-program approach to grammatical parameters, proposing neural implementations and evolutionary models that could explain linguistic diversity and development.
Contribution
It introduces a novel framework linking grammatical parameters to gene-like codes and self-organizing attractors in neural circuitry.
Findings
Proposes neural mechanisms for binary parameters in the brain
Suggests mutation processes for language evolution
Models language phylogenies beyond ultrametric assumptions
Abstract
Parametric approaches to grammatical diversity range from Chomsky's 1981 classical Principles & Parameters model to minimalist reinterpretations: in some proposals of the latter framework, parameters need not be an extensional list given at the initial state S0 of the mind, but can be constructed through a bio-program in the course of language development. In this contribution we pursue this lead and discuss initial data and ideas relevant for the elaboration of three sets of questions: 1) how can binary parameters be conceivably implemented in cortical and subcortical circuitry in the human brain? 2) how can parameter mutations be taken to occur? 3) given the distribution of parameter values across languages and their implications, can multi-parental models of language phylogenies, departing from ultrametricity, also account for some of the available evidence?
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Taxonomy
TopicsLanguage and cultural evolution · Fractal and DNA sequence analysis · Language Development and Disorders
