City, University of London
SI1-- Previous biological models of sameness detection.pdf (141.6 kB)

A review of previous biological models of sameness detection, related to simple, biologically plausible feature detector for language acquisition

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journal contribution
posted on 2019-11-22, 14:44 authored by Ansgar EndressAnsgar Endress

This data record consists of a single 14-page PDF file which contains a summary review of ‘Previous biological models of sameness detection’. The document is supplementary information related to the publication: Endress, A. D. (2019) A Simple, Biologically Plausible Feature Detector for Language Acquisition, Journal of Cognitive Neuroscience 0 0:0, 1-12,

The related publication takes into account recent evidence for the importance of disinhibitory circuits across taxa and brain regions and suggests a simple circuit to explain the acquisition of core grammatical rules based on sameness/difference relations and common to 85% of the world's languages. The author proposes that having a set of feature detectors for elementary grammatical rules might make language acquisition feasible based on relatively simple computational mechanisms. The proposed feature detector is implemented and tested as a computational model in R.

The R code of the model is also freely available via figshare: