کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7375648 1480074 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Firing patterns transition and desynchronization induced by time delay in neural networks
ترجمه فارسی عنوان
شبیه سازی انتقال و تشخیص الگوها با تأخیر زمان در شبکه عصبی
کلمات کلیدی
شبکه های عصبی هماهنگ سازی، نابودسازی، شبکه کوچک دنیای، انتقال الگوی شوت،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
We used the Hindmarsh-Rose (HR) model (Hindmarsh and Rose, 1984) to study the effect of time delay on the transition of firing behaviors and desynchronization in neural networks. As time delay is increased, neural networks exhibit diversity of firing behaviors, including regular spiking or bursting and firing patterns transitions (FPTs). Meanwhile, the desynchronization of firing and unstable bursting with decreasing amplitude in neural system, are also increasingly enhanced with the increase of time delay. Furthermore, we also studied the effect of coupling strength and network randomness on these phenomena. Our results imply that time delays can induce transition and desynchronization of firing behaviors in neural networks. These findings provide new insight into the role of time delay in the firing activities of neural networks, and can help to better understand the firing phenomena in complex systems of neural networks. A possible mechanism in brain that can cause the increase of time delay is discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 499, 1 June 2018, Pages 88-97
نویسندگان
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