231 results found
    1. Neuroscience

    EEG-based detection of the locus of auditory attention with convolutional neural networks

    Servaas Vandecappelle et al.
    Convolutional neural networks can decode whether a person is listening to a speaker on the left or right solely from 1 to 2s of EEG data.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Detecting adaptive introgression in human evolution using convolutional neural networks

    Graham Gower et al.
    Convolutional neural networks are an effective tool for detecting archaic adaptive introgression from genomic data.
    1. Neuroscience

    Interpreting wide-band neural activity using convolutional neural networks

    Markus Frey et al.
    A novel deep-learning framework shows how to interpret and decode raw neural recordings, avoiding the need for strong prior hypotheses, revealing a novel representation of head direction.
    1. Neuroscience

    The nature of the animacy organization in human ventral temporal cortex

    Sushrut Thorat et al.
    The animacy organization in human ventral visual cortex is driven by both the presence of animal-diagnostic visual features and the psychological property of agency.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

    Agata Wesolowska-Andersen et al.
    Combination of deep learning models trained on tissue-specific genomic data and fine-mapping approaches supports efforts to identify causal variants and mechanisms at GWAS loci.
    1. Neuroscience

    How biological attention mechanisms improve task performance in a large-scale visual system model

    Grace W Lindsay, Kenneth D Miller
    Implementing neural changes associated with attention in a deep neural network causes performance changes that mimic those observed in humans and macaques.
    1. Computational and Systems Biology

    A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements

    Calvin M Schmidt, Christina D Smolke
    Machine learning has been applied to develop predictive models for designing RNA gene-control elements with targeted gene-regulatory activities.
    1. Plant Biology

    Accurate and versatile 3D segmentation of plant tissues at cellular resolution

    Adrian Wolny et al.
    Convolutional neural networks and graph partitioning algorithms can be combined into an easy-to-use tool for segmentation of cells in dense plant tissue volumes imaged with light microscopy.
    1. Neuroscience

    'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification

    Dean A Pospisil et al.
    Single units in a deep convolutional neural network trained for image classification develop shape selectivity that is similar to that found in the primate visual cortex.
    1. Neuroscience

    What do adversarial images tell us about human vision?

    Marin Dujmović et al.
    Well-controlled psychological experiments show that there is little overlap in how humans and convolutional networks classify adversarial images, highlighting the problem of using CNNs as models of human vision.

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