Name
Abstract | ||
|---|---|---|
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience. However, it is still not clear what is learned by CNNs in terms of neuronal circuits. When a deep CNN with many layers is used for the visual system, it is not easy to compare the structure components of CNNs with possib... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCYB.2020.2972983 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Biological system modeling,Retina,Integrated circuit modeling,Computational modeling,Visualization,Data models,Training | Journal | 52 |
Issue | ISSN | Citations |
1 | 2168-2267 | 1 |
PageRank | References | Authors |
0.37 | 14 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qi Yan | 1 | 4 | 1.08 |
| Yajing Zheng | 2 | 4 | 2.99 |
| Shanshan Jia | 3 | 3 | 2.29 |
| YiChen Zhang | 4 | 26 | 10.72 |
| Zhaofei Yu | 5 | 38 | 16.83 |
| Feng Chen | 6 | 431 | 33.92 |
| Yonghong Tian | 7 | 1057 | 102.81 |
| Tiejun Huang | 8 | 1281 | 120.48 |
| Jian K. Liu | 9 | 20 | 8.77 |