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Convergence, divergence, and reconvergence in a feedforward network improves neural speed and accuracy
One of the proposed canonical circuit motifs employed by the brain is a feedforward network where parallel signals converge, diverge, and reconverge. Here we investigate a network with this architecture in the Drosophila olfactory system. We focus on a glomerulus whose receptor neurons converge in a...
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| Publicado no: | Neuron |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5488793/ https://ncbi.nlm.nih.gov/pubmed/26586183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuron.2015.10.018 |
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