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We use the Ito calculus to prove that a general type of white Levy noise will benefit subthreshold neuronal signal detection if the noise process's scaled drift velocity falls inside an interval that depends on the threshold values. Levy noise generalizes Brownian motion and includes several important jump and impulsive random processes often found in neural and financial-engineering models. A global...
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