Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Neurons and neural networks: general principles
- Synaptic plasticity, topological and temporal features, and higher cortical processing
- Spin glass models and cellular automata
- 13 Neural networks: learning and forgetting
- 14 Learning by error corrections in spin glass models of neural networks
- 15 Random complex automata: analogy with spin glasses
- 16 The evolution of data processing abilities in competing automata
- 17 The inverse problem for neural nets and cellular automata
- Cyclic phenomena and chaos in neural networks
- The cerebellum and the hippocampus
- Olfaction, vision and cognition
- Applications to experiment, communication and control
- Author index
- Subject index
15 - Random complex automata: analogy with spin glasses
from Spin glass models and cellular automata
Published online by Cambridge University Press: 05 February 2012
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Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Neurons and neural networks: general principles
- Synaptic plasticity, topological and temporal features, and higher cortical processing
- Spin glass models and cellular automata
- 13 Neural networks: learning and forgetting
- 14 Learning by error corrections in spin glass models of neural networks
- 15 Random complex automata: analogy with spin glasses
- 16 The evolution of data processing abilities in competing automata
- 17 The inverse problem for neural nets and cellular automata
- Cyclic phenomena and chaos in neural networks
- The cerebellum and the hippocampus
- Olfaction, vision and cognition
- Applications to experiment, communication and control
- Author index
- Subject index
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- Computer Simulation in Brain Science , pp. 240 - 248Publisher: Cambridge University PressPrint publication year: 1988