Name
Abstract | ||
|---|---|---|
We present a novel hetero-associative memory based on dendritic neural computation. The computations in this model are based on lattice group operations. The proposed model does not suffer from the usual storage capacity problem and is extremely robust in the presence of various types of noise and data corruption. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28931-6_47 | HAIS (2) |
Keywords | Field | DocType |
dendritic neural computation,various type,usual storage capacity problem,data corruption,lattice group operation,dendritic computing,novel lattice associative memory,novel hetero-associative memory | Content-addressable memory,Lattice (order),Computer science,Algorithm,Models of neural computation,Theoretical computer science,Lattice (group),Data Corruption,Computation | Conference |
Volume | ISSN | Citations |
7209 | 0302-9743 | 4 |
PageRank | References | Authors |
0.41 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerhard X. Ritter | 1 | 353 | 41.59 |
| Darya Chyzhyk | 2 | 137 | 10.82 |
| Gonzalo Urcid | 3 | 226 | 16.64 |
| Manuel Graña | 4 | 1367 | 156.11 |