کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408724 679041 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Event-based simulation strategy for conductance-based synaptic interactions and plasticity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Event-based simulation strategy for conductance-based synaptic interactions and plasticity
چکیده انگلیسی

The immense computational and adaptive power of the cerebral cortex emerges from the collective dynamics of large populations of interacting neurons. Thus, for theoretical investigations, optimal strategies for modeling biophysically faithful neuronal dynamics are required. Here, we propose an extension of the classical leaky integrate-and-fire neuronal model, the gIF model. It incorporates various aspects of high-conductance state dynamics typically seen in cortical neurons in vivo, as well as activity-dependent modulation of synaptic weights. The analytic description of the resulting neuronal models allows their use together with the event-driven simulation strategy. The latter provides an efficient tool for exact simulations of large-scale neuronal networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 10–12, June 2006, Pages 1130–1133
نویسندگان
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