Connectionist Models of Memory and Language (PLE: Memory)
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advanced memory language processing models
Articulatory Loop
Articulatory Loop Model
auditory perception research
back
Back Propagation Networks
catastrophic
Catastrophic Interference
Category=JMR
cognitive modelling
Competitive Queuing
Composite Memory Trace
computational psycholinguistics
Delta Rule
effects
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Gradient Descent Learning
Gradient Descent Learning Algorithm
Hidden Layer Representations
interference
item
Item Vectors
length
Memorization Set
networks
neural network theory
Order Errors
Paired Associate Learning
Phoneme Nodes
Phonemic Input
Phonemic Similarity Effect
PLE
propagation
recurrent network architecture
RMS Error
Single Trial Learning
statistical learning models
Temporal Chunking
Trace Vector
vectors
word
Word Node
Product details
- ISBN 9781848723771
- Weight: 635g
- Dimensions: 156 x 234mm
- Publication Date: 24 Apr 2014
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
Levy, Joseph P.; Bairaktaris, Dimitrios; Bullinaria, John; Cairns, Paul
