Adaptive regulation of sparseness by feedforward inhibition
نویسندگان
چکیده
منابع مشابه
Adaptive Sparseness for Supervised Learning
The goal of supervised learning is to infer a functional mapping based on a set of training examples. To achieve good generalization, it is necessary to control the “complexity” of the learned function. In Bayesian approaches, this is done by adopting a prior for the parameters of the function being learned. We propose a Bayesian approach to supervised learning, which leads to sparse solutions;...
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ژورنال
عنوان ژورنال: Nature Neuroscience
سال: 2007
ISSN: 1097-6256,1546-1726
DOI: 10.1038/nn1947