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 i...

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Hlavní autor:	Quinlan, Philip T.
Médium:	E-kniha Kniha
Jazyk:	angličtina
Vydáno:	Hove, East Sussex ; New York Psychology Press 2003 Taylor and Francis Taylor & Francis Group
Vydání:	1
Edice:	Studies in Developmental Psychology
Témata:	Connectionism Developmental Psychology Neural Nets Latent Memory Traces Prediction Task Lexical Segmentation Hidden Units Training Syllables Hebbian Learning Output Units Recurrent Network Word Forms Input Output Units Modality Specific Responses Receptive Field Profiles Vocabulary Acquisition Multisensory Integration SC Neuron Contrastive Hebbian Learning Midbrain Dopamine System Self-organising Neural Network Peristimulus Time Histograms Binocular Disparities Multi-sensory Integration Card Sorting Task RF Multisensory Neurons Simple Recurrent Network
ISBN:	9781841692685, 1841692689, 1841692697, 9781841692692
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Book Cover -- Half-Title -- Title -- Copyright -- Contents -- List of Contributors -- Modelling Human Development: In Brief -- 1. A Connectionist Perspective on Piagetian Development -- 2. Connectionist Models of Learning and Development in Infancy -- 3. The Role of Prefrontal Cortex in Perseveration: Developmental and Computational Explorations -- 4. Language Acquisition in a Self-Organising Neural Network Model -- 5. Connectionist Modelling of Lexical Segmentation and Vocabulary Acquisition -- 6. Less is Less in Language Acquisition -- 7. Pattern Learning in Infants and Neural Networks -- 8. Does Visual Development Aid Visual Learning? -- 9. Learning and Brain Development: A Neural Constructivist Perspective -- 10. Cross-Modal Neural Development -- 11. Evolutionary Connectionism -- Author Index -- Subject Index