Name
Abstract | ||
|---|---|---|
Deep generative models and their associated top-down architecture are gaining popularity in neuroscience and computer vision. In this paper we link our previous work with regulatory feedback networks to generative models. We show that generative model's and regulatory feedback model's equations can share the same fixed points. Thus, phenomena observed using regulatory feedback can also apply to generative models. This suggests that generative models can also be developed to identify mixtures of patterns, address problems associated with binding, and display the ability to estimate numerosity. |
Year | Venue | Keywords |
|---|---|---|
2011 | BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011 | Top-Down Feedback,Generative Models,Regulatory Feedback |
Field | DocType | Volume |
Numerosity adaptation effect,Architecture,Computer science,Popularity,Top-down and bottom-up design,Artificial intelligence,Fixed point,Generative grammar,Learning Reconstruction,Generative model | Conference | 233 |
ISSN | Citations | PageRank |
0922-6389 | 1 | 0.35 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsvi Achler | 1 | 14 | 3.24 |
| Luís M. A. Bettencourt | 2 | 94 | 9.47 |