Self-organized topological structures in neural networks for the visual cortex of the brain
โ Scribed by Algis Garliauskas
- Book ID
- 114296345
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 342 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Mutual inhibition between neurons combined with a learning principle similar to that proposed by Hebb is shown to secure a powerful self-organizing property for neural networks. Numerical analysis reveals that the system investigated always organizes itself into the same final state from any arbitra
A neural network model is proposed to explain the development of direction selectivity of cortical cells. The model is constructed under the following three hypotheses that are very plausible from recent neurophysiological findings. (1) Direction selectivity is developed by modifiable inhibitory syn