Name
Title | ||
|---|---|---|
A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision |
Abstract | ||
|---|---|---|
Certainly, one of the prominent ideas of Professor Jose Mira was that it is absolutely mandatory to specify the mechanisms and/or processes underlying each task and inference mentioned in an architecture in order to make operational that architecture. The conjecture of the last fifteen years of joint research has been that any bottom-up organization may be made operational using two biologically inspired methods called ''algorithmic lateral inhibition'', a generalization of lateral inhibition anatomical circuits, and ''accumulative computation'', a working memory related to the temporal evolution of the membrane potential. This paper is dedicated to the computational formulation of both methods. Finally, all of the works of our group related to this methodological approximation are mentioned and summarized, showing that all of them support the validity of this approximation. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.neucom.2010.07.028 | Neurocomputing |
Keywords | Field | DocType |
methodological approximation,accumulative computation,computer vision,algorithmic lateral inhibition,historical perspective,membrane potential,bottom-up organization,lateral inhibition anatomical circuit,joint research,professor jose mira,computational formulation,neuro-inspired computer vision,last fifteen year,bottom up,lateral inhibition,working memory | Architecture,Inference,Computer science,Working memory,Lateral inhibition,Artificial intelligence,Conjecture,Machine learning,Computation | Journal |
Volume | Issue | ISSN |
74 | 8 | Neurocomputing |
Citations | PageRank | References |
6 | 0.52 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Fernández-Caballero | 1 | 1317 | 117.99 |
| María T. López | 2 | 321 | 28.80 |
| Enrique J. Carmona | 3 | 266 | 14.01 |
| Ana E. Delgado | 4 | 243 | 16.85 |