6,615 results found
    1. Neuroscience

    Unimodal statistical learning produces multimodal object-like representations

    Gábor Lengyel et al.
    Mere exposure to scenes with statistical contingencies in the visual or haptic modality alone allows participants to decompose scenes into object-like multimodal representations.
    1. Computational and Systems Biology
    2. Neuroscience

    Statistical context dictates the relationship between feedback-related EEG signals and learning

    Matthew R Nassar et al.
    The P300, an electroencephalography (EEG) component known to be evoked by surprising events, predicts learning in a bidirectional manner that depends critically on the surrounding statistical context.
    1. Neuroscience

    Statistical learning attenuates visual activity only for attended stimuli

    David Richter, Floris P de Lange
    Prior expectations, induced by statistical learning, affect sensory processing only for attended stimuli, thereby constraining neurocomputational theories that cast perception as an inferential process integrating prior knowledge and sensory evidence.
    1. Neuroscience

    Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

    Pengcheng Zhou et al.
    A new open-source computational toolbox for processing in vivo microendoscopic calcium imaging data performs signal demixing and denoising much more accurately than previously available methods, significantly improving the utility of this imaging modality.
    1. Neuroscience

    Brain signatures of a multiscale process of sequence learning in humans

    Maxime Maheu et al.
    Evidence for multiple brain systems for sequence processing involving statistical inferences at multiple scales.
    1. Neuroscience

    Infants are superior in implicit crossmodal learning and use other learning mechanisms than adults

    Sophie Rohlf et al.
    Electrophysiological activity indicates superior implicit crossmodal learning in infants and a change in learning mode from infancy to adulthood.
    1. Genetics and Genomics
    2. Medicine

    Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning

    Yi Liu et al.
    Systematic quantification of abdominal organ health parameters using deep learning generates new insights into the genetic architecture of cardiometabolic health traits.
    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. Neuroscience

    Dissociation of task engagement and arousal effects in auditory cortex and midbrain

    Daniela Saderi et al.
    Data collected from two important auditory brain areas distinguish effects of generalized arousal and specific task engagement on neural sensory coding.
    1. Computational and Systems Biology
    2. Neuroscience

    Discovering and deciphering relationships across disparate data modalities

    Joshua T Vogelstein et al.
    Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.

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