Models of neural networks I
Provides an in-depth analysis of both paradigms starting with an introduction to the ideas used in the subsequent chapters. In this book, one finds a discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory c...
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| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Berlin
Springer Verlag
[1995]
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| Edition: | Second updated edition |
| Series: | Physics of neural networks
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| Subjects: | |
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Table of Contents:
- Collective phenomena in neural networks
- Information from structure: a sketch of neuroanatomy
- Storage capacity and learning in ising-spin neural networks
- Dynamics of learning
- Hierarchical organization of memory
- Asymmetrically diluted neural networks
- Temporal association
- Self-organizing maps and adaptive filters