Size and position invariant visual representation supports retinotopic maps via selective backward paths A dynamic second order neural network model for a possible functional role of recurrent connections in the visual cortex.
A dynamic multi-layered neural network performing scale and position invariant pattern recognition has been simulated. The model consists of a set of retinotopically organized layers that label objects via temporal signal correlations (synchronization coding). The successive set of layers computes s...
| Publié dans: | Neurocomputing :an international journal. 17, 2 (1997). |
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| Format: | Article |
| Langue: | English |
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