Literature DB >> 16711858

Stimulus-response curves of a neuronal model for noisy subthreshold oscillations and related spike generation.

Martin Tobias Huber1, Hans Albert Braun.   

Abstract

We investigate the stimulus-dependent tuning properties of a noisy ionic conductance model for intrinsic subthreshold oscillations in membrane potential and associated spike generation. Upon depolarization by an applied current, the model exhibits subthreshold oscillatory activity with an occasional spike generation when oscillations reach the spike threshold. We consider how the amount of applied current, the noise intensity, variation of maximum conductance values, and scaling to different temperature ranges alter the responses of the model with respect to voltage traces, interspike intervals and their statistics, and the mean spike frequency curves. We demonstrate that subthreshold oscillatory neurons in the presence of noise can sensitively and also selectively be tuned by the stimulus-dependent variation of model parameters.

Mesh:

Year:  2006        PMID: 16711858     DOI: 10.1103/PhysRevE.73.041929

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2014-11-29       Impact factor: 5.082

2.  Synchronization study in ring-like and grid-like neuronal networks.

Authors:  Jingyi Qu; Rubin Wang; Ying Du; Jianting Cao
Journal:  Cogn Neurodyn       Date:  2011-09-13       Impact factor: 5.082

3.  Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-01-10       Impact factor: 5.082

  3 in total

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