5,472 results found
    1. Neuroscience

    Attention operates uniformly throughout the classical receptive field and the surround

    Bram-Ernst Verhoef, John HR Maunsell
    A spatially-tuned normalization model accounts for neuronal responses to attended or unattended stimuli that are presented inside the classical receptive field or the surround, and explains various other observations.
    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. 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

    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. 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. Computational and Systems Biology
    2. Epidemiology and Global Health

    The intractable challenge of evaluating cattle vaccination as a control for bovine Tuberculosis

    Andrew James Kerr Conlan et al.
    Natural transmission experiments should be prioritised over risky and expensive field trials, in order to establish the impact of cattle vaccination on the transmission of bovine Tuberculosis.
    1. Neuroscience

    Image content is more important than Bouma’s Law for scene metamers

    Thomas SA Wallis et al.
    Peripheral appearance models emphasising pooling processes that depend on retinal eccentricity will instead need to explore input-dependent grouping and segmentation.
    1. Neuroscience

    A neural-level model of spatial memory and imagery

    Andrej Bicanski, Neil Burgess
    The BB model explains spatial cognition in terms of interactions between specific neuronal populations, providing a common computational framework for the human neuropsychological and in vivo animal electrophysiological literatures.
    1. Neuroscience

    Sensory dynamics of visual hallucinations in the normal population

    Joel Pearson et al.
    A new method for inducing, measuring and modelling visual hallucinations in healthy people reveals that hallucinations share common underlying mechanisms with normal sensory perception.

Refine your results by:

Type
Research categories