34 results found
    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

    A frontal cortex event-related potential driven by the basal forebrain

    David P Nguyen, Shih-Chieh Lin
    Contrary to the common belief that cognitive event-related potentials are generated by local activity within the cerebral cortex, it is shown that some of these potentials are modulated by subcortical inputs.
    1. Neuroscience

    Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

    Stijn Adriaan Nuiten et al.
    When all features of conflicting sensory input are task-irrelevant, the brain can still process its sensory information, whereas conflict detection requires that minimally one stimulus feature is task-relevant or associated with a response.
    1. Neuroscience

    Natural ITD statistics predict human auditory spatial perception

    Rodrigo Pavão et al.
    Human brain has incorporated natural statistics of spatial cues to the neural code supporting perception of sound location.
    1. Neuroscience

    Entrained neuronal activity to periodic visual stimuli in the primate striatum compared with the cerebellum

    Masashi Kameda et al.
    Neurons in the striatum exhibited periodic firing in monkeys attempting to detect omission of repetitive visual stimulus, while the phase of neuronal activity differed from that observed in the cerebellum.
    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

    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

    A compositional neural code in high-level visual cortex can explain jumbled word reading

    Aakash Agrawal et al.
    Viewing a jumbled word activates an efficient visual representation in high-level visual cortex that is matched to stored words in the word form area.
    1. Neuroscience

    Complementary control of sensory adaptation by two types of cortical interneurons

    Ryan G Natan et al.
    Two distinct types of inhibitory neurons increase the brain's sensitivity to unexpected acoustic signals by amplifying selective suppression of cortical responses to frequent, but not rare sounds.
    1. Neuroscience

    Responding to preconditioned cues is devaluation sensitive and requires orbitofrontal cortex during cue-cue learning

    Evan E Hart et al.
    The orbitofrontal cortex is necessary for learning about value-neutral sensory associations to impact subsequent model-based behavior.

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