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Nervous system / Mind / Science / Segmentation / Neuron / Biological neural network / Connectome / Artificial neuron / Neural networks / Computational neuroscience / Neuroscience


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Document Date: 2014-07-26 20:22:53

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File Size: 3,53 MB

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City

Salt Lake City / Lake City / /

Company

Ó 2010 Elsevier B.V. / /

Country

United States / /

/

Facility

University of Utah School / University of Utah / Imaging Institute / /

IndustryTerm

convolutional network / feed-forward neural network / layer neural network / subsequent networks / neural network / nervous systems / possible solution / large network / image processing / Serial artificial neural networks / image processing methods / neural networks / image processing challenges / post-processing / lter bank/series / lter bank / convolutional networks / learning algorithm / chemical events / significant post-processing / /

MarketIndex

SET 50 / /

Organization

University of Utah School of Medicine / University of Utah / Department of Electrical and Computer Engineering / Scientific Computing and Imaging Institute / National Academy of Engineering / United States Department of Biology / United States School of Computing / VB / Moran Eye Center / /

Person

Robert Langer / Ross T. Whitaker / Bryan W. Jones / Farouk El-Baz / Erik M. Jorgensen / Wesley Harris / James R. Anderson / Shigeki Watanabe / Robert E. Marc / Fiala / Elizabeth Jurrus / Antonio R.C. Paiva / Raymond Kurzweil / Calestous Juma / /

Position

Singer / feed-forward / Corresponding author / /

ProvinceOrState

Utah / /

PublishedMedium

Technology Review / /

Technology

neuroscience / learning algorithm / speech recognition / neural network / 3-D / Machine learning / image processing / serial-section TEM technology / /

URL

www.elsevier.com/locate/media / /

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