Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of...
Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Neural circuits consist of many noisy, slow components, with individual neurons subject to ion channel noise, axonal propagation delays, and unreliable and slow synaptic transmission. This raises a fundamental question: how can reliable computation emerge from such unreliable components? A classic strategy is to simply average over a population of<...
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Full title
Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays
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TN_cdi_plos_journals_2737143044
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2737143044
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1010593
