Name
Abstract | ||
|---|---|---|
In this paper we present a constructive analytical process used to synthesize a net capable of transforming poor sensory data into a more rich internal representation invariant to rotations and local displacements. This model could be of interest both to understand the sensory code and the internalization of external geometries into the nervous system and to build internal models of the environment in autonomous and connectionistic robots. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/BFb0100520 | LECTURE NOTES IN COMPUTER SCIENCE |
Keywords | Field | DocType |
nervous system,internal model | Constructive,Computer science,Coding (social sciences),Invariant (mathematics),Artificial intelligence,Robot,Artificial neural network,Sensory system,Internal model,Mobile robot | Conference |
Volume | ISSN | Citations |
1607 | 0302-9743 | 5 |
PageRank | References | Authors |
0.76 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José R. Álvarez | 1 | 487 | 59.45 |
| Félix de la Paz | 2 | 127 | 17.09 |
| José Mira | 3 | 543 | 71.44 |