Connectionist Models of Memory and Language (PLE
Memory)
Herausgeber: Levy, Joseph P; Bullinaria, John A; Bairaktaris, Dimitrios
Connectionist Models of Memory and Language (PLE
Memory)
Herausgeber: Levy, Joseph P; Bullinaria, John A; Bairaktaris, Dimitrios
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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.
Andere Kunden interessierten sich auch für
- George Houghton (ed.)Connectionist Models in Cognitive Psychology178,99 €
- Human Memory and Amnesia (PLE253,99 €
- Person Memory (PLE209,99 €
- Alcohol and Human Memory (PLE198,99 €
- Imagery, Memory and Cognition (PLE209,99 €
- Walter KintschThe Representation of Meaning in Memory (PLE198,99 €
- Janet L KolodnerRetrieval and Organizational Strategies in Conceptual Memory (PLE198,99 €
-
-
-
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.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 352
- Erscheinungstermin: 24. April 2014
- Englisch
- Abmessung: 244mm x 167mm x 24mm
- Gewicht: 634g
- ISBN-13: 9781848723771
- ISBN-10: 1848723776
- Artikelnr.: 40148157
- Verlag: Taylor & Francis
- Seitenzahl: 352
- Erscheinungstermin: 24. April 2014
- Englisch
- Abmessung: 244mm x 167mm x 24mm
- Gewicht: 634g
- ISBN-13: 9781848723771
- ISBN-10: 1848723776
- Artikelnr.: 40148157
Levy, Joseph P.; Bairaktaris, Dimitrios; Bullinaria, John; Cairns, Paul
Preface. Acknowledgements. Contributors. Section 1: Memory 1. David W.
Glasspool Competitive Queuing and the Articulatory Loop 2. Dimitrios
Bairaktaris Temporal Chunking and Synchronization Using a Modular Recurrent
Network Architecture 3. Gordon D. A. Brown, Tim Preece, Charles Hulme
Learning to Learn in a Connectionist Network: The Development of
Associative Learning 4. Noel E. Sharkey and Amanda J.C. Sharkey
Interference and Discrimination in Neural Net Memory 5. Jacob M.J. Murre
Transferof Learning in Back-propagation and in Related Neural Network
Models 6. Joseph P. Levy and Dimitrios Bairaktaris Interactions Between
Short- and Long-term Weights: Applications for Cognitive Modelling Section
2: Reading 7. Robert I. Damper Self-learning and Connectionist Approaches
to Text-Phoneme Conversion 8. David C. Plaut, James L. McClelland Mark S.
Seidenberg Reading Exception Words and Pseudowords: Are Two Routes Really
Necessary? 9. John A. Bullinaria Neural Network Models of Reading: Solving
the Alignment Problem without Wickelfeatures Section 3: Computation and
Statistics 10. Robert W. Kentridge Cortical Neurocomputation, Language and
Cognition 11. Nick Chater Neural Networks: The New Statistical Models of
Mind 12. Steve Finch, Nick Chater, Martin Redington Acquiring Syntactic
Information from Distributional Statistics Section 4: Speech and Audition
13. Leslie S. Smith Onset/Offset Filters for the Segmentation of Sound 14.
Mukhlis Abu-Bakar and Nick Chater Time-warping Tasks and Recurrent Neural
Networks 15. Paul Cairns, Richard Shillcock, Nick Chater, Joseph P. Levy
Bottom-up Connectionist Modelling of Speech 16. Trevor A. Harley and
Siobhan B.G. MacAndrew. Index.
Glasspool Competitive Queuing and the Articulatory Loop 2. Dimitrios
Bairaktaris Temporal Chunking and Synchronization Using a Modular Recurrent
Network Architecture 3. Gordon D. A. Brown, Tim Preece, Charles Hulme
Learning to Learn in a Connectionist Network: The Development of
Associative Learning 4. Noel E. Sharkey and Amanda J.C. Sharkey
Interference and Discrimination in Neural Net Memory 5. Jacob M.J. Murre
Transferof Learning in Back-propagation and in Related Neural Network
Models 6. Joseph P. Levy and Dimitrios Bairaktaris Interactions Between
Short- and Long-term Weights: Applications for Cognitive Modelling Section
2: Reading 7. Robert I. Damper Self-learning and Connectionist Approaches
to Text-Phoneme Conversion 8. David C. Plaut, James L. McClelland Mark S.
Seidenberg Reading Exception Words and Pseudowords: Are Two Routes Really
Necessary? 9. John A. Bullinaria Neural Network Models of Reading: Solving
the Alignment Problem without Wickelfeatures Section 3: Computation and
Statistics 10. Robert W. Kentridge Cortical Neurocomputation, Language and
Cognition 11. Nick Chater Neural Networks: The New Statistical Models of
Mind 12. Steve Finch, Nick Chater, Martin Redington Acquiring Syntactic
Information from Distributional Statistics Section 4: Speech and Audition
13. Leslie S. Smith Onset/Offset Filters for the Segmentation of Sound 14.
Mukhlis Abu-Bakar and Nick Chater Time-warping Tasks and Recurrent Neural
Networks 15. Paul Cairns, Richard Shillcock, Nick Chater, Joseph P. Levy
Bottom-up Connectionist Modelling of Speech 16. Trevor A. Harley and
Siobhan B.G. MacAndrew. Index.
Preface. Acknowledgements. Contributors. Section 1: Memory 1. David W.
Glasspool Competitive Queuing and the Articulatory Loop 2. Dimitrios
Bairaktaris Temporal Chunking and Synchronization Using a Modular Recurrent
Network Architecture 3. Gordon D. A. Brown, Tim Preece, Charles Hulme
Learning to Learn in a Connectionist Network: The Development of
Associative Learning 4. Noel E. Sharkey and Amanda J.C. Sharkey
Interference and Discrimination in Neural Net Memory 5. Jacob M.J. Murre
Transferof Learning in Back-propagation and in Related Neural Network
Models 6. Joseph P. Levy and Dimitrios Bairaktaris Interactions Between
Short- and Long-term Weights: Applications for Cognitive Modelling Section
2: Reading 7. Robert I. Damper Self-learning and Connectionist Approaches
to Text-Phoneme Conversion 8. David C. Plaut, James L. McClelland Mark S.
Seidenberg Reading Exception Words and Pseudowords: Are Two Routes Really
Necessary? 9. John A. Bullinaria Neural Network Models of Reading: Solving
the Alignment Problem without Wickelfeatures Section 3: Computation and
Statistics 10. Robert W. Kentridge Cortical Neurocomputation, Language and
Cognition 11. Nick Chater Neural Networks: The New Statistical Models of
Mind 12. Steve Finch, Nick Chater, Martin Redington Acquiring Syntactic
Information from Distributional Statistics Section 4: Speech and Audition
13. Leslie S. Smith Onset/Offset Filters for the Segmentation of Sound 14.
Mukhlis Abu-Bakar and Nick Chater Time-warping Tasks and Recurrent Neural
Networks 15. Paul Cairns, Richard Shillcock, Nick Chater, Joseph P. Levy
Bottom-up Connectionist Modelling of Speech 16. Trevor A. Harley and
Siobhan B.G. MacAndrew. Index.
Glasspool Competitive Queuing and the Articulatory Loop 2. Dimitrios
Bairaktaris Temporal Chunking and Synchronization Using a Modular Recurrent
Network Architecture 3. Gordon D. A. Brown, Tim Preece, Charles Hulme
Learning to Learn in a Connectionist Network: The Development of
Associative Learning 4. Noel E. Sharkey and Amanda J.C. Sharkey
Interference and Discrimination in Neural Net Memory 5. Jacob M.J. Murre
Transferof Learning in Back-propagation and in Related Neural Network
Models 6. Joseph P. Levy and Dimitrios Bairaktaris Interactions Between
Short- and Long-term Weights: Applications for Cognitive Modelling Section
2: Reading 7. Robert I. Damper Self-learning and Connectionist Approaches
to Text-Phoneme Conversion 8. David C. Plaut, James L. McClelland Mark S.
Seidenberg Reading Exception Words and Pseudowords: Are Two Routes Really
Necessary? 9. John A. Bullinaria Neural Network Models of Reading: Solving
the Alignment Problem without Wickelfeatures Section 3: Computation and
Statistics 10. Robert W. Kentridge Cortical Neurocomputation, Language and
Cognition 11. Nick Chater Neural Networks: The New Statistical Models of
Mind 12. Steve Finch, Nick Chater, Martin Redington Acquiring Syntactic
Information from Distributional Statistics Section 4: Speech and Audition
13. Leslie S. Smith Onset/Offset Filters for the Segmentation of Sound 14.
Mukhlis Abu-Bakar and Nick Chater Time-warping Tasks and Recurrent Neural
Networks 15. Paul Cairns, Richard Shillcock, Nick Chater, Joseph P. Levy
Bottom-up Connectionist Modelling of Speech 16. Trevor A. Harley and
Siobhan B.G. MacAndrew. Index.