کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9900948 | 1545005 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Dynamics of pruning in simulated large-scale spiking neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
مدلسازی و شبیه سازی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Dynamics of pruning in simulated large-scale spiking neural networks Dynamics of pruning in simulated large-scale spiking neural networks](/preview/png/9900948.png)
چکیده انگلیسی
Massive synaptic pruning following over-growth is a general feature of mammalian brain maturation. This article studies the synaptic pruning that occurs in large networks of simulated spiking neurons in the absence of specific input patterns of activity. The evolution of connections between neurons were governed by an original bioinspired spike-timing-dependent synaptic plasticity (STDP) modification rule which included a slow decay term. The network reached a steady state with a bimodal distribution of the synaptic weights that were either incremented to the maximum value or decremented to the lowest value. After 1Ã106 time steps the final number of synapses that remained active was below 10% of the number of initially active synapses independently of network size. The synaptic modification rule did not introduce spurious biases in the geometrical distribution of the remaining active projections. The results show that, under certain conditions, the model is capable of generating spontaneously emergent cell assemblies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 79, Issues 1â3, JanuaryâMarch 2005, Pages 11-20
Journal: Biosystems - Volume 79, Issues 1â3, JanuaryâMarch 2005, Pages 11-20
نویسندگان
Javier Iglesias, Jan Eriksson, François Grize, Marco Tomassini, Alessandro E.P. Villa,