A tale of two lexica: Investigating computational pressures on word representation with neural networks.

ABSTRACT:

Introduction

The notion of a single localized store of word representations has become increasingly less plausible as evidence has accumulated for the widely distributed neural representation of wordform grounded in motor, perceptual, and conceptual processes. Here, we attempt to combine machine learning methods and neurobiological frameworks to propose a computational model of brain systems potentially responsible for wordform representation. We tested the hypothesis that the functional specialization of word representation in the brain is driven partly by computational optimization. This hypothesis directly addresses the unique problem of mapping sound and articulation vs. mapping sound and meaning.

Results

We found that artificial neural networks trained on the mapping be

SUBMITTER: Avcu E 

PROVIDER: S-EPMC10083378 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature