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Fig. 1 | The Journal of Mathematical Neuroscience

Fig. 1

From: Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations

Fig. 1

A population of N uncoupled neurons is driven by common processes (green box) and independent noise processes (blue boxes). The common processes consist of a strong common noise and a common sensory signal , which is multiplied with a small positive scaling parameter . Independent noise processes are multiplied with another small positive scaling parameter . In the special case of , the sensory signal is absent and the N neurons exhibit spontaneous activity. Due to the strong common noise ξ the spontaneous activity is highly correlated. In the special case of , all neurons generate identical output spike trains encoding the sensory signal in the time-dependent firing rate. The output of the population is quantified by the sum of the individual spike trains

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