1,496 results found
    1. Computational and Systems Biology
    2. Neuroscience

    Fast and flexible sequence induction in spiking neural networks via rapid excitability changes

    Rich Pang, Adrienne L Fairhall
    Biologically plausible changes in the excitabilities of single neurons may suffice to selectively modulate sequential network dynamics, without modifying of recurrent connectivity.
    1. Computational and Systems Biology
    2. Neuroscience

    Cell assemblies at multiple time scales with arbitrary lag constellations

    Eleonora Russo, Daniel Durstewitz
    A novel statistical algorithm for mining high-dimensional spike train (count) data for significant spatio-temporal patterns reveals new insights into task and brain area dependent functional organization of neural activity.
    1. Neuroscience

    Learning excitatory-inhibitory neuronal assemblies in recurrent networks

    Owen Mackwood et al.
    The synaptic structure in mouse V1 is explained by a synergy of homeostatic plasticity in incoming and outgoing synapses of inhibitory interneurons, establishing a stimulus-specific balance of excitation and inhibition.
    1. Neuroscience

    SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

    Jeremy Magland et al.
    Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
    1. Neuroscience

    Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

    Alexander Fengler et al.
    A novel method and software provides researchers with the capability to rapidly, flexibly, and robustly perform Bayesian parameter estimation of theoretically meaningful models in cognitive neuroscience that were heretofore intractable.
    1. Neuroscience

    CaImAn an open source tool for scalable calcium imaging data analysis

    Andrea Giovannucci et al.
    CaImAn is an open-software package that equips the neuroscience community with a set of turnkey, fast and scalable solutions to pre-processing problems arising in single cell calcium imaging data analysis.
    1. Neuroscience

    A Bayesian model of context-sensitive value attribution

    Francesco Rigoli et al.
    The dependence of incentive value attribution on the anticipation of rewards within a given context is explained via a normative Bayesian account of how rewards map to incentive values.
    1. Neuroscience
    2. Medicine

    Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women

    Stavros Trakoshis et al.
    Excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic males versus females.
    1. Neuroscience

    Neural computations underlying inverse reinforcement learning in the human brain

    Sven Collette et al.
    The human brain is capable of implementing inverse reinforcement learning, where an observer infers the hidden reward structure of a decision problem solely through observing another individual take actions.
    1. Computational and Systems Biology
    2. Neuroscience

    Inferring multi-scale neural mechanisms with brain network modelling

    Michael Schirner et al.
    Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.

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