1,287 results found
    1. Neuroscience

    Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models

    Menoua Keshishian et al.
    A comprehensive, data-driven and interpretable nonlinear computational modeling framework based on deep neural networks uncovers different nonlinear transformations of speech signal in the human auditory cortex.
    1. Neuroscience

    Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior

    Iris IA Groen et al.
    Deep network features exhibit a robust correlation with brain activity in scene-selective cortex, but are not sufficient to explain human scene categorization behavior, which is strongly shaped by information about the function (possibility for action) of the scene.
    1. Neuroscience

    A neural mechanism for contextualizing fragmented inputs during naturalistic vision

    Daniel Kaiser et al.
    In scene-selective occipital cortex and within 200 ms of processing, visual inputs are sorted according to their typical spatial position within a scene.
    1. Computational and Systems Biology
    2. Neuroscience

    Towards deep learning with segregated dendrites

    Jordan Guerguiev et al.
    A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.
    1. Computational and Systems Biology

    Cutting Edge: Anatomy of BioJS, an open source community for the life sciences

    Guy Yachdav et al.
    Community nurturing is the single most important factor in determining the sustainability of an open source project such as BioJS.
    1. Computational and Systems Biology
    2. Neuroscience

    Deep Learning: Branching into brains

    Adam Shai, Matthew Evan Larkum
    What can artificial intelligence learn from neuroscience, and vice versa?.
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  1. Point of View: The future of graduate and postdoctoral training in the biosciences

    Peter Hitchcock et al.
    What can institutions and funding agencies do to address an array of issues facing the biomedical research community in the United States?
  2. Cutting Edge: A network approach to mixing delegates at meetings

    Federico Vaggi et al.
    A network-based ‘speed dating’ approach can promote interactions between delegates at scientific meetings.
  3. Research: Sci-Hub provides access to nearly all scholarly literature

    Daniel S Himmelstein et al.
    The availability of almost all articles from toll access journals in the Sci-Hub repository will disrupt scholarly publishing towards more open models.

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