A case study in the functional consequences of scaling the sizes of realistic cortical models
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DOI: 10.1371/journal.pcbi.1007198
Abstract: Neuroscience models come in a wide range of scales and specificity, from mean-field rate models to large-scale networks of spiking neurons. There are potential trade-offs between simplicity and realism, versatility and computational speed. This paper… read more here.
Keywords: consequences scaling; functional consequences; scaling sizes; sizes realistic ... See more keywords