کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408579 679036 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Learning sensory representations with intrinsic plasticity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Learning sensory representations with intrinsic plasticity
چکیده انگلیسی

Intrinsic plasticity (IP) refers to a neuron's ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combining a model of IP based on information theory with Hebbian synaptic plasticity can adapt their weight vector to discover heavy-tailed directions in the input space. In this paper we show how a network of such units can solve a standard non-linear independent component analysis (ICA) problem. We also present a model for the formation of maps of oriented receptive fields in primary visual cortex and compare our results with those from ICA. Together, our results indicate that intrinsic plasticity that tries to locally maximize information transmission at the level of individual neurons may play an important role for the learning of efficient sensory representations in the cortex.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 7–9, March 2007, Pages 1130–1138
نویسندگان
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