SPECIAL SECTION Beyond backprop: emerging trends in connectionist models of development: an introduction
نویسندگان
چکیده
Since the publication in 1986 of Rumelhart and McClelland’s Parallel distributed processing: Explorations in the microstructure of cognition , neural network or connectionist models have become an increasingly common method for studying learning and development. A wide range of developmental domains have been investigated with connectionist models, including language acquisition, perceptual development, object permanence, developmental psychopathology and motor skill acquisition. Many of these models rely on the backpropagation-of-error learning algorithm, a form of supervised learning in which a ‘teacher’ shapes the output of the network by providing it with desired responses.
منابع مشابه
Beyond Backprop: Emerging Trends in Connectionist Models of Development
Since the publication in 1986 of Rumelhart and McClelland's Parallel Distributed Processing: Explorations in the Microstructure of Cognition, neural network or connectionist models have become an increasingly common method for studying learning and development. A wide range of developmental domains have been investigated with connectionist models, including language acquisition, perceptual deve...
متن کاملConnectionist natural language processing : The state of the artMorten
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of speciic connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual ori...
متن کاملConnectionist natural language processing: the state of the art
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of specific connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual or...
متن کاملGuest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains
متن کامل
Connectionist psycholinguistics: capturing the empirical data.
Connectionist psycholinguistics is an emerging approach to modeling empirical data on human language processing using connectionist computational architectures. For almost 20 years, connectionist models have increasingly been used to model empirical data across many areas of language processing. We critically review four key areas: speech processing, sentence processing, language production, an...
متن کامل