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Functional Connectivity Analysis in Resting State fMRI with Echo-State Networks and Non-Metric Clustering for Network Structure Recovery
Echo state networks (ESN) are recurrent neural networks where the hidden layer is replaced with a fixed reservoir of neurons. Unlike feed-forward networks, neuron training in ESN is restricted to the output neurons alone thereby providing a computational advantage. We demonstrate the use of such ESN...
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| Pubblicato in: | Proc SPIE Int Soc Opt Eng |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5693388/ https://ncbi.nlm.nih.gov/pubmed/29151666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2082106 |
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