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Data · dataset · 2026

Timecourse of phonological competition in the recurrent Predictive Coding Classifier (rPCC) model

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<p dir="ltr">Activation of targets (e.g., kisa), cohorts (e.g., kiba), rhymes (e.g., risa), and unrelated words (e.g., suki) in the rPCC model developed by Rogers, Li, Hannagan, Magnuson, & Brown, 2026, Neural Computation).

Description

The model exhibits the primary characteristics of human phonological competition: cohorts and rhymes have higher activation than unrelated words and cohorts activate and peak earlier than rhymes. </p>

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Provenance · 1 source records, 7 field assertions
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ZivaHuboai:figshare.com:article/3402764111 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
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titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title