کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2842314 1571031 2010 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A computational study of the interdependencies between neuronal impulse pattern, noise effects and synchronization
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی فیزیولوژی
پیش نمایش صفحه اول مقاله
A computational study of the interdependencies between neuronal impulse pattern, noise effects and synchronization
چکیده انگلیسی

Alterations of individual neurons dynamics and associated changes of the activity pattern, especially the transition from tonic firing (single-spikes) to bursts discharges (impulse groups), play an important role for neuronal information processing and synchronization in many physiological processes (sensory encoding, information binding, hormone release, sleep–wake cycles) as well as in disease (Parkinson, epilepsy). We have used Hodgkin–Huxley-type model neurons with subthreshold oscillations to examine the impact of noise on neuronal encoding and thereby have seen significant differences depending on noise implementation as well as on the neuron’s dynamic state. The importance of the individual neurons’ dynamics is further elucidated by simulation studies with electrotonically coupled model neurons which revealed mutual interdependencies between the alterations of the network’s coupling strength and neurons’ activity patterns with regard to synchronization. Remarkably, a pacemaker-like activity pattern which revealed to be much more noise sensitive than the bursting patterns also requires much higher coupling strengths for synchronization. This seemingly simple pattern is obviously governed by more complex dynamics than expected from a conventional pacemaker which may explain why neurons more easily synchronize in the bursting than in the tonic firing mode.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Physiology-Paris - Volume 104, Issues 3–4, May–September 2010, Pages 176–189
نویسندگان
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