Global processing of visual stimuli in a neural network of coupled oscillators.
An oscillator neural network model is presented that is capable of processing local and global attributes of sensory input. Local features in the input are encoded in the average firing rate of the neurons while the relationships between these features can modulate the temporal structure of the neur...
Tallennettuna:
| Julkaisussa: | Proc Natl Acad Sci U S A |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
National Academy of Sciences
1990
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC54711/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/2402502/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.87.18.7200 |
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