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The following results are related to Neuroinformatics. Are you interested to view more results? Visit OpenAIRE - Explore.
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5 research outcomes, page 1 of 1
  • publication . Article . 2016
    Open Access English
    Authors:
    J. Leonie Cazemier; Francisco Clascá; Paul H. E. Tiesinga;
    Publisher: Frontiers Media S.A.
    Country: Netherlands
    Project: EC | HBP SGA1 (720270), EC | HBP (604102)

    Brain networks, localized or brain-wide, exist only at the cellular level, i.e., between specific pre- and post-synaptic neurons, which are connected through functionally diverse synapses located at specific points of their cell membranes. “Connectomics” is the emerging...

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  • publication . Article . Other literature type . 2015
    Open Access English
    Authors:
    Michael W. Reimann; James G. King; Eilif Muller; Srikanth Ramaswamy; Henry Markram;
    Persistent Identifiers
    Publisher: Frontiers Media S.A.
    Country: Switzerland
    Project: EC | HBP (604102)

    Experimentally mapping synaptic connections, in terms of the numbers and locations of their synapses and estimating connection probabilities is still not a tractable task, even for small volumes of tissue, In fact, the 6 layers of the neocortex contain thousands of uniq...

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  • publication . Article . Other literature type . 2011
    Open Access English
    Authors:
    Stephan Gerhard; Alessandro Daducci; Alia Lemkaddem; Reto Meuli; Jean-Philippe Thiran; Patric Hagmann;
    Persistent Identifiers
    Publisher: Frontiers Media S.A.
    Country: Switzerland
    Project: SNSF | New methods for mapping a... (205321_121945)

    Abstract Advanced neuroinformatics tools are required for methods of connectome mapping, analysis and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration and sharing. We have designed and implemented ...

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  • publication . Article . 2019
    Open Access English
    Authors:
    Aly A. Valliani; Daniel Ranti; Eric K. Oermann;
    Persistent Identifiers
    Publisher: Adis, Springer Healthcare

    Abstract Deciphering the massive volume of complex electronic data that has been compiled by hospital systems over the past decades has the potential to revolutionize modern medicine, as well as present significant challenges. Deep learning is uniquely suited to address...

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  • publication . Other literature type . Conference object . 2016
    Open Access
    Authors:
    Amin Karbasi; Amir Hesam Salavati; Martin Vetteri;
    Persistent Identifiers
    Publisher: IEEE
    Country: Switzerland

    How can we decipher the hidden structure of a network based on limited observations? This question arises in many scenarios ranging from social to wireless and to neural networks. In such settings, we typically observe the nodes’ behaviors (e.g., the time a node learns ...

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5 research outcomes, page 1 of 1