Abstract
Two related but different fields are reviewed. Initially some basic facts about developing real brains are set out and then work on dynamic neural networks is described. A dynamic neural network is defined as any artificial neural network that automatically changes its structure through exposure to input stimuli. Various models are described and evaluated and the functional correlates of both regressive and progressive structural changes are discussed. The paper concludes that, if future modelling work is to be set within a more neurally-plausible framework, then it would be fruitful to examine networks in which the connectivity between extant units is progressively embellished. (C) 1998 Elsevier Science Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 577-599 |
| Number of pages | 23 |
| Journal | Neural Networks |
| Volume | 11 |
| Issue number | 4 |
| Publication status | Published - Jun 1998 |
Keywords
- neurobiological development
- synaptogenesis
- pruning
- structural growth
- dynamic networks
- DEVELOPING NERVOUS-SYSTEM
- PROGRAMMED CELL-DEATH
- HUMAN CEREBRAL-CORTEX
- RAT VISUAL-CORTEX
- COGNITIVE-DEVELOPMENT
- CEREBELLAR CORTEX
- AXON GUIDANCE
- MECHANISMS
- SYNAPTOGENESIS
- ARCHITECTURE