title: Effect of autaptic activity on the response of a Hodgkin-Huxley neuron.
abstract: An autapse is a special synapse that connects a neuron to itself. In this study, we investigated the effect of an autapse on the responses of a Hodgkin-Huxley neuron to different forms of external stimuli. When the neuron was subjected to a DC stimulus, the firing frequencies and the interspike interval distributions of the output spike trains showed periodic behaviors as the autaptic delay time increased. When the input was a synaptic pulse-like train with random interspike intervals, we observed low-pass and band-pass filtering behaviors. Moreover, the region over which the output ISIs are distributed and the mean firing frequency display periodic behaviors with increasing autaptic delay time. When specific autaptic parameters were chosen, most of the input ISIs could be filtered, and the response spike trains were nearly regular, even with a highly random input. The background mechanism of these observed dynamics has been analyzed based on the phase response curve method. We also found that the information entropy of the output spike train could be modified by the autapse. These results also suggest that the autapse can serve as a regulator of information response in the nervous system.
authors.affiliation: Center of Soft Matter Physics and its Application, Beihang University, Beijing 100191, China.
authors.forename: Hengtong
authors.initials: H
authors.lastname: Wang
authors.affiliation: Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000, China.
authors.forename: Longfei
authors.initials: L
authors.lastname: Wang
authors.affiliation: Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000, China.
authors.forename: Yueling
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Center of Soft Matter Physics and its Application, Beihang University, Beijing 100191, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Chen
mesh_terms: D000818:Animals; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*