Abstract

Event Abstract Back to Event Intrinsic mechanisms of spike frequency adaption lead to negative serial correlations of inter-spike intervals Farzad Farkhooi1, 2*, Martin P. Nawrot1, 2, Hermann Cuntz3 and Eilif Muller4 1 Freie Universitat Berlin , Germany 2 BCCN Berlin, Germany 3 University College London, United Kingdom 4 Ecole Polytechnique Federale de Lausanne , Switzerland It has been reported that many neurons in various different systems illustrate a pattern of negative serial dependence between adjacent inter-spike intervals, when measured under stationary firing rates (for review see [3]). We studied a biophysical model of spike frequency adaptation with M-type currents, which are caused by slow, voltage-dependent, high-threshold potassium channels ([2] and [4]). This model in the presence of white noise current injection exhibited serial negative correlation between inter-spike interval sequences. We analysed the dependency of serial correlation on the input statistics, this result shows in the physiological spiking frequency range, the inter-spike serial correlation is a persistence phenomena. We investigate the generality of this effect with two different phenomenological Integrate-and-Fire neuron models with spike frequency adaptation proposed in [5] and [1]. Both models captured the negative serial correlation between subsequent intervals. We describe the relationship of the input statistics with the observed serial dependency between the inter-spike intervals. We compare both models with respect to produced inter-spike serial correlation and their input coefficient of variation. Furthermore, we showed the strength of the observed correlation is rate dependent for both models. We argue that the feature of negatively correlated intervals is likely to be a neuron intrinsic property caused by cellular mechanisms that underlie spike frequency adaptation and the particular input statistics affects the modulation of the negative serial dependency between two following spiking intervals.

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