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The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding
The recent “deep learning revolution” in artificial neural networks had strong impact and widespread deployment for engineering applications, but the use of deep learning for neurocomputational modeling has been so far limited. In this article we argue that unsupervised deep learning represents an i...
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| Pubblicato in: | Front Comput Neurosci |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5360096/ https://ncbi.nlm.nih.gov/pubmed/28377709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00013 |
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