Corrective memory by a symmetric sparsely encoded network
โ Scribed by Baram, Y.
- Book ID
- 114539940
- Publisher
- IEEE
- Year
- 1994
- Tongue
- English
- Weight
- 803 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0018-9448
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Algorithms for auto-associative memory in sparsely connected networks are commonly brittle with respect to relationships between such parameters as training set size, connectivity, synaptic strength, threshold, or inhibitory feedback. This paper describes an algorithm for auto-associative memory bas
Gu(freund (Neural networks with hierarchically correlated patterns. Physical Review A, 37, 570-577, 1988 ) has proposed a model for storing hierarchically correlated patterns where ancestor patterns are correlated with descendant ones. However, there is a problem of small storage capacity. Furtherm
Hippocampal cells contribute to memory by rapidly encoding information about the perceptual and behavioral structure of experience. This paper describes two complementary experimental approaches that illustrate two important mechanisms that confer these properties to hippocampal cells: (1) Enduring