کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4334067 1294772 2007 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A feed-forward neural logic based on synaptic and volume transmission
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
A feed-forward neural logic based on synaptic and volume transmission
چکیده انگلیسی

We consider a homeostatic mechanism to maintain a plastic layer of a feed-forward neural network reactive to a long sequence of signals, with neither falling in a fixed point of the state space nor undergoing in overfitting. Homeostasis is achieved without asking the neural network to be able to pursue an offset through local feedbacks. Rather, each neuron evolves monotonically in the direction increasing its own parameter, while a global feedback emerges from volume transmission of a homostatic signal. Namely: 1) each neuron is triggered to increase its own parameter in order to exceed the mean value of all of the other neurons' parameters, and 2) a global feedback on the population emerges from the composition of the single neurons behavior paired with a reasonable rule through which surrounding neurons in the same layer are activated. We provide a formal description of the model that we implement in an ad hoc version of π-calculus. Some numerical simulations will depict some typical behaviors that seem to show a plausible biological interpretation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain Research Reviews - Volume 55, Issue 1, August 2007, Pages 108–118
نویسندگان
, ,