"The present study presents results based on recordings of noise-driven discharge in rat hypoglossal motoneurones ... First, we show that the hyperpolarizing trough is larger in Average Current Trajectories (ACTs) calculated from spikes preceded by long interspike intervals, and minimal or absent in those based on short interspike intervals. Second, we show that the trough is present for ACTs calculated from the discharge of a threshold-crossing neurone model with a postspike after- hyperpolarization (AHP), but absent from those calculated from the discharge of a model without an AHP. We show that it is possible to represent noise-driven discharge using a two-component linear model that predicts discharge probability based on the sum of a feedback kernel and a stimulus kernel. The feedback kernel reflects the influence of prior discharge mediated by the AHP, and it increases in amplitude when AHP amplitude is increased by pharmacological manipulations. Finally, we show that the predictions of this model are virtually identical to those based on the first-order Wiener kernel. This suggests that the Wiener kernel derived from standard white-noise analysis of noise-driven discharge in neurones actually reflect the effects of both stimulus and discharge history." See paper for more and details.
Model Type: Neuron or other electrically excitable cell
Model Concept(s): Simplified Models
Simulation Environment: IGOR Pro
Implementer(s): Powers, Randy [rkpowers at u.washington.edu]
References:
Powers RK, Dai Y, Bell BM, Percival DB, Binder MD. (2005). Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones. The Journal of physiology. 562 [PubMed]