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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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| Publicado no: | J Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society for Neuroscience
2018
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| Assuntos: | |
| Acesso em linha: | 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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