32 results found
    1. Neuroscience

    Two central pattern generators from the crab, Cancer borealis, respond robustly and differentially to extreme extracellular pH

    Jessica A Haley et al.
    The rhythms generated by the stomatogastric and cardiac ganglia of the Jonah crab are surprisingly robust but differentially sensitive to acute changes in extracellular pH from pH 5.5 to 10.4.
    1. Neuroscience

    Sloppy morphological tuning in identified neurons of the crustacean stomatogastric ganglion

    Adriane G Otopalik et al.
    Reliable neuronal physiology can arise from variable and inefficient morphologies.
    1. Neuroscience

    When complex neuronal structures may not matter

    Adriane G Otopalik et al.
    Animal-to-animal variability in neuronal geometry may be compensated for by compact electrotonic structure.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Neuroscience

    Neuronal morphologies built for reliable physiology in a rhythmic motor circuit

    Adriane G Otopalik et al.
    Neurite geometry enables expansive and highly-branched neuronal structures to operate like single electrical compartments and simple linear integrators.
    1. Neuroscience

    Coupling between fast and slow oscillator circuits in Cancer borealis is temperature-compensated

    Daniel Powell et al.
    The mechanism that couples two rhythmic circuits is maintained over a large temperature range although both circuits are temperature-sensitive.
    1. Computational and Systems Biology
    2. Neuroscience

    Interrogating theoretical models of neural computation with emergent property inference

    Sean R Bittner et al.
    Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.
    1. Neuroscience

    Luqin-like RYamide peptides regulate food-evoked responses in C. elegans

    Hayao Ohno et al.
    Identification and functional characterization of C. elegans luqin-like arginine-tyrosine-NH2 (RYamide) peptides reveal their critical role in feeding-related processes.
    1. Neuroscience

    Dual separable feedback systems govern firing rate homeostasis

    Yelena Kulik et al.
    A new mechanistic framework for considering the homeostatic control of neuronal firing rates is presented.
    1. Neuroscience

    Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire

    Shuting Han et al.
    A novel automated behavior analysis method for Hydra identifies pre-defined and new behavior types, and reveals a stable behavior repertoire.

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