Abstract
Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down-guided process.
| Original language | English |
|---|---|
| Article number | e406 |
| Number of pages | 4 |
| Journal | The Behavioral and brain sciences |
| Volume | 46 |
| Early online date | 6 Dec 2023 |
| DOIs | |
| Publication status | Published - 2023 |
Funding
H. A. S. is supported by a consolidator ERC grant \u201CPlasticityOfMind\u201D (101002584).
| Funders | Funder number |
|---|---|
| European Research Council | |
| Horizon 2020 Framework Programme | 101002584 |
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