A Neural Dynamic Model Generates Descriptions of Object-Oriented Actions.
Top Cogn Sci
; 9(1): 35-47, 2017 01.
Article
em En
| MEDLINE
| ID: mdl-28054458
ABSTRACT
Describing actions entails that relations between objects are discovered. A pervasively neural account of this process requires that fundamental problems are solved the neural pointer problem, the binding problem, and the problem of generating discrete processing steps from time-continuous neural processes. We present a prototypical solution to these problems in a neural dynamic model that comprises dynamic neural fields holding representations close to sensorimotor surfaces as well as dynamic neural nodes holding discrete, language-like representations. Making the connection between these two types of representations enables the model to describe actions as well as to perceptually ground movement phrases-all based on real visual input. We demonstrate how the dynamic neural processes autonomously generate the processing steps required to describe or ground object-oriented actions. By solving the fundamental problems of neural pointing, binding, and emergent discrete processing, the model may be a first but critical step toward a systematic neural processing account of higher cognition.
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1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Cognição
Limite:
Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article