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Neural Classifiers with Limited Connectivity and Recurrent Readouts

For many neural network models in which neurons are trained to classify inputs like perceptrons, the number of inputs that can be classified is limited by the connectivity of each neuron, even when the total number of neurons is very large. This poses the problem of how the biological brain can take...

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書目詳細資料
發表在:J Neurosci
Main Authors: Kushnir, Lyudmila, Fusi, Stefano
格式: Artigo
語言:Inglês
出版: Society for Neuroscience 2018
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6596245/
https://ncbi.nlm.nih.gov/pubmed/30249794
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.3506-17.2018
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