Name
Abstract | ||
|---|---|---|
Biological systems have a large degree of redundancy, a fact that is usually thought to have little effect beyond providing reliable function despite the death of individual neurons. We have discovered, however, that redundancy can qualitatively change the computations carried out by a network. We prove that for both feedforward and feedback networks the simple duplication of nodes and connections... |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1162/neco.1990.2.2.226 | Neural Computation |
Keywords | Field | DocType |
neural network,reliability function,biological systems | Computer science,Theoretical computer science,Redundancy (engineering),Artificial intelligence,Dual modular redundancy,Artificial neural network,Machine learning,Computation,Feed forward | Journal |
Volume | Issue | ISSN |
2 | 2 | 0899-7667 |
Citations | PageRank | References |
21 | 3.58 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshio Izui | 1 | 30 | 6.07 |
| Alex Pentland | 2 | 18006 | 4853.13 |