5,057 results found
    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

    Control of entropy in neural models of environmental state

    Timothy H Muller et al.
    Evidence for neuromodulatory control of flexibility in human neural models.
    1. Computational and Systems Biology
    2. Neuroscience

    A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans

    William M Roberts et al.
    A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.
    1. Biochemistry and Chemical Biology
    2. Neuroscience

    Targeted degradation of aberrant tau in frontotemporal dementia patient-derived neuronal cell models

    M Catarina Silva et al.
    A new Cereblon-recruiting bifunctional tau ligand, QC-01-175, promotes aberrant tau degradation and rescue of stress vulnerability in human neuronal cell models of tauopathy.
    1. Neuroscience

    Visualization of currents in neural models with similar behavior and different conductance densities

    Leandro M Alonso, Eve Marder
    Visualization methods display the dynamics of the currents in conductance-based model neurons, and show how their contribution changes in response to perturbation.
    1. Neuroscience

    Attentional modulation of neuronal variability in circuit models of cortex

    Tatjana Kanashiro et al.
    Attention reduces noise correlations through enhancing inhibitory feedback in cortical networks.
    1. Stem Cells and Regenerative Medicine

    Sequentially induced motor neurons from human fibroblasts facilitate locomotor recovery in a rodent spinal cord injury model

    Hyunah Lee et al.
    Sequential introduction of transcription factors enables large-scale generation of induced motor neurons (iMNs) from human somatic cells, and transplantation of iMNs exhibit therapeutic effects in spinal cord injury model.
    1. Computational and Systems Biology
    2. Neuroscience

    Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

    Jonathan Oesterle et al.
    Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.
    1. Neuroscience

    Inferring synaptic inputs from spikes with a conductance-based neural encoding model

    Kenneth W Latimer et al.
    The conductance-based encoding model creates a new bridge between statistical models and biophysical models of neurons, and infers visually-evoked excitatory and inhibitory synaptic conductances from spike trains in macaque retina.
    1. Neuroscience

    Internal models for interpreting neural population activity during sensorimotor control

    Matthew D Golub et al.
    A novel analysis of neural activity recorded in monkeys performing a “brain-machine interface” task reveals that a mismatch between motor effectors and the brains’ internal models of those effectors can explain a substantial portion of movement errors.

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