Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
Non-recurrent deep convolutional neural networks (CNNs) are currently the best at modeling core object recognition, a behavior that is supported by the densely recurrent primate ventral stream, culminating in the inferior temporal (IT) cortex. If recurrence is critical to this behavior, then primate...
| Main Authors: | , , , , |
|---|---|
| 其他作者: | |
| 格式: | 文件 |
| 语言: | English |
| 出版: |
Springer Science and Business Media LLC
2020
|
| 在线阅读: | https://hdl.handle.net/1721.1/126715 |