Connectionist models of development developmental processes in real and artificial neural networks

Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems...

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Detalles Bibliográficos
Otros Autores: Quinlan, Philip T. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hove, East Sussex ; New York : Psychology Press 2003.
Edición:1st ed
Colección:Studies in developmental psychology.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798037906719
Tabla de Contenidos:
  • Book Cover; Title; Contents; List of contributors; Introduction Modelling human development: In brief; A connectionist perspective on Piagetian development; Connectionist models of learning and development in infancy; The role of prefrontal cortex in perseveration: Developmental and computational explorations; Language acquisition in a self-organising neural network model; Connectionist modelling of lexical segmentation and vocabulary acquisition; Less is less in language acquisition; Pattern learning in infants and neural networks; Does visual development aid visual learning?
  • Learning and brain development: A neural constructivist perspectiveCross-modal neural development; Evolutionary connectionism; Author index; Subject index