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Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks
Recurrent networks of spiking neurons can be in an asynchronous state characterized by low or absent cross-correlations and spike statistics which resemble those of cortical neurons. Although spatial correlations are negligible in this state, neurons can show pronounced temporal correlations in thei...
Tallennettuna:
| Julkaisussa: | Front Comput Neurosci |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5840464/ https://ncbi.nlm.nih.gov/pubmed/29551968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2018.00009 |
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