Modelling direct perceptual constraints on action selection: The Naming and Action Model (NAM)

Eun-Young Yoon, Dietmar Heinke, Glyn Humphreys

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

There is increasing experimental and neuropsychological evidence that action selection is directly constrained by perceptual information from objects as well as by more abstract semantic knowledge. To capture this evidence, we develop a new connectionist model of action and name selection from objects-NAM (Naming and Action Model), based on the idea that action selection is determined by convergent input from both visual structural descriptions and abstract semantic knowledge. We show that NAM is able to simulate evidence for a direct route to action selection from both normal subjects (Experiments 1 and 2) and neuropsychological patients (Experiments 3-6). The model provides a useful framework for understanding how perceptual knowledge influences action selection.
Original languageEnglish
Pages (from-to)615-661
Number of pages47
JournalVisual Cognition
Volume9
DOIs
Publication statusPublished - 1 May 2002

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