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Nonlinear convergence boosts information coding in circuits with parallel outputs
Neural circuits are structured with layers of converging and diverging connectivity and selectivity-inducing nonlinearities at neurons and synapses. These components have the potential to hamper an accurate encoding of the circuit inputs. Past computational studies have optimized the nonlinearities...
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| Udgivet i: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
National Academy of Sciences
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7923546/ https://ncbi.nlm.nih.gov/pubmed/33593894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1921882118 |
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