Estimation of the parameters of a truncated gamma distribution in the case of neuronal spike data.

摘要: Publisher Summary This chapter discusses the estimation of parameters a truncated gamma distribution in case neuronal spike data, and two different kinds approach. One deals with methods describing observed activity terms statistical functions, other spike-generating process theoretically derived models. In functions serial aspect can be dealt by auto- correlation its derivatives. With this method stability firing pattern interdependency intervals analyzed. The interspike-interval histogram is sample grouped observations taken during definite period time. time sequence lost. analyzing distribution, resemblance empirical to gamma- or exponential observed. However, distributions tend much heavier than predicted distribution. Since these deviations have relatively high influence on scale shape investigates whether fitted major part observations, discarding large interspike intervals.