Name
Abstract | ||
|---|---|---|
Neurons selective for faces exist in humans and monkeys. However, characteristics of face cell receptive fields are poorly understood. In this theoretical study, we explore the effects of complexity, defined as algorithmic information (Kolmogorov complexity) and logical depth, on possible ways that face cells may be organized. We use tensor decompositions to decompose faces into a set of component... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1162/neco_a_01258 | Neural Computation |
Field | DocType | Volume |
Receptive field,Cognitive science,Artificial intelligence,Machine learning,Mathematics | Journal | 32 |
Issue | ISSN | Citations |
2 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 23 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sidney R. Lehky | 1 | 28 | 5.30 |
| Anh Huy Phan | 2 | 828 | 51.60 |
| Andrzej Cichocki | 3 | 5228 | 508.42 |
| Keiji Tanaka | 4 | 9 | 2.10 |