The Willshaw model is asymptotically the most efficient neural associative memory (NAM), but its finite version is hampered by high retrieval errors. Iterative retrieval has been proposed in a large number of different models to improve performance in auto-association tasks. In this paper, bidirecti
✦ LIBER ✦
Forming sparse representations by local anti-Hebbian learning
✍ Scribed by P. Földiák
- Book ID
- 105536104
- Publisher
- Springer-Verlag
- Year
- 1990
- Tongue
- English
- Weight
- 560 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0340-1200
No coin nor oath required. For personal study only.
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