Connectionist Models of Memory and Language (PLE: Memory)Joseph P. Levy, Dimitrios Bairaktaris, John A. Bullinaria, Paul Cairns Connectionist modelling and neural network applications had become a major sub-field of cognitive science by the mid-1990s. In this ground-breaking book, originally published in 1995, leading connectionists shed light on current approaches to memory and language modelling at the time. The book is divided into four sections: Memory; Reading; Computation and statistics; Speech and audition. Each section is introduced and set in context by the editors, allowing a wide range of language and memory issues to be addressed in one volume. This authoritative advanced level book will still be of interest for all engaged in connectionist research and the related areas of cognitive science concerned with language and memory. |
Other editions - View all
Connectionist Models of Memory and Language Joseph P Levy,Paul Cairns,Dimitrios Bairaktaris,John a Bullinaria No preview available - 2015 |
Common terms and phrases
activation approach architecture articulatory loop associations attractor back-propagation behaviour chapter closed-class words Cognitive Science computational con connectionism connectionist models connections context corpus corresponding darnet delta rule developmental distributed dynamics dyslexia effect Elman errors exception words feedforward Figure filter frequency function gradient descent grapheme hdog hidden units Hillsdale human interaction item vectors J. L. McClelland language Lawrence Erlbaum layer learning algorithm letter lexical McClelland 1989 mechanism memorization set methods NETtalk neural network models neuron nodes non-words onset/offset output pairs Parallel distributed processing parameters Paul Cairns performance phoneme phonological phonotactics presented pretraining problem processing pronunciation Psychological Review Psychology recall reconstruction recurrent network regular representations rules Rumelhart segmentation Seidenberg & McClelland semantic sequence sequential short-term signal similar simulation speech statistical stimuli structure subnetwork syllable symbolic syntactic syntactic categories target task technique temporal tion trace vector training data training set unsupervised learning weights