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- W4243208610 abstract "We study how neuronal connections in a population of spiking neurons affect the accuracy of stimulus estimation. Neurons in our model code for a one-dimensional orientation variable. Connectivity between two neurons depends on the absolute difference |-'| between the preferred orientation of the two neurons. We derive an analytical expression of the activity profile for a population of neurons described by the spike response model with noisy threshold. We estimate the stimulus orientation and the trial-to-trial fluctuations using the population vector method. For stationary stimuli, uniform inhibitory connections produce a more reliable estimation of the stimulus than short-range excitatory connections with long-range inhibitions, although the latter interaction type produces a sharper tuning curve. These results are consistent with previous analytical studies of the Fisher information." @default.
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- W4243208610 date "2001-01-01" @default.
- W4243208610 modified "2023-09-23" @default.
- W4243208610 title "Effect of lateral connections on the accuracy of the population code for a network of spiking neurons" @default.
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- W4243208610 doi "https://doi.org/10.1080/net.12.4.409.421" @default.
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