کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10343842 | 697284 | 2015 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Survey and evaluation of neural computation models for bio-integrated systems
ترجمه فارسی عنوان
بررسی و ارزیابی مدل های محاسبات عصبی برای سیستم های بیولوژیک
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
This survey reviews computational models of spiking neurons and their changes in connections, known as plasticity. The review studies models that are faithful to real neural cultures, and are computational efficient for real-time BISs. Also, criteria and methods for comparing models with 'in-vitro' experiments are reviewed to conclude on the level of realism of models in comparison with biological setups. Izhikevich's model of spiking neurons is recommended due to its accuracy in reproducing real neural firing patterns, computational efficiency, and ease of parameter adjustment. The model of Spike-timing dependent plasticity is recommended as current basis for representing neuron changes in connections. For the analysis of network connectivity and connectivity changes in BIS, the Cox method is recommended because it evaluates connections based on activities from all recorded neurons as opposed to pair-wise approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nano Communication Networks - Volume 6, Issue 4, December 2015, Pages 155-165
Journal: Nano Communication Networks - Volume 6, Issue 4, December 2015, Pages 155-165
نویسندگان
Francois Christophe, Vafa Andalibi, Teemu Laukkarinen, Tommi Mikkonen, Kai Koskimies,