277 results found
    1. Neuroscience

    Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits

    Balázs B Ujfalussy et al.
    Dendrites combine the inputs that they receive from other neurons using calculations that have been optimized for those particular input patterns.
    1. Neuroscience

    Multiplexed coding by cerebellar Purkinje neurons

    Sungho Hong et al.
    Cerebellar Purkinje neurons use a multiplexed simple spike code combining synchrony/spike time and firing rate, with each component encoding distinct information about movements such as motion onset timing and kinematics.
    1. Cell Biology
    2. Computational and Systems Biology

    Signaling pathways as linear transmitters

    Harry Nunns, Lea Goentoro
    Mathematical and experimental analyses suggest that despite their complex architectures, multiple metazoan signaling pathways act in physiological contexts as linear signal transmitters.
    1. Neuroscience

    Tracking the relation between gist and item memory over the course of long-term memory consolidation

    Tima Zeng et al.
    Human learners’ memory for generalities across individual items biased memory for these items after 1 month.
    1. Neuroscience

    Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells

    Yuwei Cui et al.
    The convergence of two visual pathways at the level of retinal bipolar cells accounts for key features of ganglion cell responses.
    1. Physics of Living Systems

    Symmetry breaking meets multisite modification

    Vaidhiswaran Ramesh, J Krishnan
    Network symmetry represents a new vantage point for dissecting complex information processing characteristics in multisite modification, and the breaking of symmetry can confer ordering of modification and absolute concentration robustness.
    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. 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

    Impaired voice processing in reward and salience circuits predicts social communication in children with autism

    Daniel Arthur Abrams et al.
    Children with autism often 'tune out' the voices in their environment and new results show that impaired processing of voices in the brain's reward system may underlie this social behavior.
    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.

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