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Feedforward Inhibition Allows Input Summation to Vary in Recurrent Cortical Networks
Brain computations depend on how neurons transform inputs to spike outputs. Here, to understand input-output transformations in cortical networks, we recorded spiking responses from visual cortex (V1) of awake mice of either sex while pairing sensory stimuli with optogenetic perturbation of excitato...
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| Veröffentlicht in: | eNeuro |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Society for Neuroscience
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5908071/ https://ncbi.nlm.nih.gov/pubmed/29682603 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/ENEURO.0356-17.2018 |
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