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Showing 1–2 of 2 results
Advanced filters: Author: Claudia Zylberberg Clear advanced filters
  • A deep network is best understood in terms of components used to design it—objective functions, architecture and learning rules—rather than unit-by-unit computation. Richards et al. argue that this inspires fruitful approaches to systems neuroscience.

    • Blake A. Richards
    • Timothy P. Lillicrap
    • Konrad P. Kording
    Reviews
    Nature Neuroscience
    Volume: 22, P: 1761-1770
  • Applying Systems Thinking to Regenerative Medicine—A Workshop was organized by the National Academies of Sciences, Engineering, and Medicine’s Forum on Regenerative Medicine. The meeting brought together leaders from government, academia, industry, professional associations, foundations, patient communities, and other stakeholder groups to address the potential for cross-disciplinary systems thinking to advance regenerative medicine. Discussions during the meeting covered the role of data science in regenerative medicine and the importance of data science training and data literacy for the current and future regenerative medicine workforce.

    • Anne L. Plant
    • Nicole Piscopo
    • Sarah H. Beachy
    News & ViewsOpen Access
    npj Regenerative Medicine
    Volume: 7, P: 1-6