758 results found
    1. Neuroscience

    Temporally delayed linear modelling (TDLM) measures replay in both animals and humans

    Yunzhe Liu et al.
    Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.
    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
    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

    Multiple mechanisms link prestimulus neural oscillations to sensory responses

    Luca Iemi et al.
    Neural oscillations prior to a stimulus modulate the strength of early and late responses in opposite directions via distinct mechanisms.
    1. Neuroscience

    An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions

    Sanne ten Oever, Andrea E Martin
    An oscillating computational model combined with a predictive internal linguistic model can track naturally timed speech in which pseudo-rhythmicity is related to the predictability of words within their sentence context.
    1. Neuroscience

    Value signals guide abstraction during learning

    Aurelio Cortese et al.
    Valuation of sensory information in the ventromedial prefrontal cortex plays a key function in constructing the abstract representations that guide complex behaviours.
    1. Neuroscience

    Interpreting wide-band neural activity using convolutional neural networks

    Markus Frey et al.
    A novel deep-learning framework shows how to interpret and decode raw neural recordings, avoiding the need for strong prior hypotheses, revealing a novel representation of head direction.
    1. Neuroscience

    Microstructural organization of human insula is linked to its macrofunctional circuitry and predicts cognitive control

    Vinod Menon et al.
    In vivo quantitative analysis of multi-shell diffusion MRI reveals novel insights into microstructure of human insular cortex and its functional circuits associated with the salience network and cognitive control.
    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.
    1. Computational and Systems Biology
    2. Neuroscience

    Place-cell capacity and volatility with grid-like inputs

    Man Yi Yim et al.
    A very large number of place-field maps can be robustly learned by association of external cues with the grid-driven response, however plasticity in the grid-cell inputs renders the place-cell responses volatile.

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