576 results found
    1. Neuroscience

    What the success of brain imaging implies about the neural code

    Olivia Guest, Bradley C Love
    For brain imaging to be useful despite its limitations in measuring neural activity, the neural code must be smooth both in a traditional sense and functionally.
    1. Neuroscience
    2. Physics of Living Systems

    Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training

    Xinwei Yu et al.
    A deep neural network trained on semi-synthetic data learns to quickly track and identify neurons in Caenorhabditis elegans.
    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. 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

    Spike frequency adaptation supports network computations on temporally dispersed information

    Darjan Salaj et al.
    Spike frequency adaptation provides spiking neural networks with long short-term memory.
    1. Neuroscience

    anTraX, a software package for high-throughput video tracking of color-tagged insects

    Asaf Gal et al.
    anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
    1. Neuroscience

    How many neurons are sufficient for perception of cortical activity?

    Henry WP Dalgleish et al.
    Targeted optogenetic activation of small ensembles of neurons is sufficient to trigger a behavioral report while recruiting matched network suppression, suggesting exquisite sensitivity despite network mechanisms that maintain sparseness.
    1. Evolutionary Biology
    2. Genetics and Genomics

    Comprehensive fitness maps of Hsp90 show widespread environmental dependence

    Julia M Flynn et al.
    Environmental conditions strongly impact the fitness effects of Hsp90, resulting in the selection of Hsp90 sequences in nature that are robust to a variety of stressful conditions.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Defining host–pathogen interactions employing an artificial intelligence workflow

    Daniel Fisch et al.
    The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.
    1. Neuroscience

    Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks

    Vishwa Goudar, Dean V Buonomano
    A recurrent network model trained to transcribe temporally scaled spoken digits into handwritten digits proposes that the brain flexibly encodes time-varying stimuli as neural trajectories that can be traversed at different speeds.

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