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Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

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Defragmenting Learning.

Vsevolod Kapatsinski¹

¹Department of Linguistics, University of Oregon.

Cognitive Science

|June 12, 2023

Summary

This summary is machine-generated.

Language acquisition and learning theory are advancing through interdisciplinary collaboration. Integrating insights from both fields promises significant progress in understanding how we learn and use language.

Keywords:

Cue competition Language acquisition Learning theory Optimality Theory Rescorla−Wagner model

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Area of Science:

Psycholinguistics
Cognitive Science
Theoretical Linguistics

Background:

Historically, language acquisition and learning theory developed in parallel, with limited cross-pollination.
A resurgence of interest in verbal learning occurred in the 1990s, yet disciplinary silos persisted.

Discussion:

Recent advancements show promise in applying learning theory to language acquisition.
Conversely, language learning data is increasingly used to refine general learning theories.

Key Insights:

The independent development of learning theory and language acquisition has historically hindered progress.
Interdisciplinary research is crucial for mutual advancement.

Outlook:

Future research should foster a bidirectional flow of knowledge between language acquisition and learning theory.
Leveraging language data can enhance domain-general learning theories, while learning theory can illuminate language acquisition processes.