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The intrinsically-disordered protein MEG-3 recruits mRNAs to P granules by forming gel-like condensates with ribosome-depleted mRNAs.

A disassociated neural network underlies the dynamic construction of speech mental imagery independent of auditory perception.

Using Monkey EEG as a bridge technology, color and motion representations in human MEG are linked to microcircuit activity in ventral stream areas.

THINGS-data reflects three large-scale neuroimaging and behavioral datasets of object processing in humans, comprising densely sampled functional MRI and magnetoencephalographic recordings, as well as 4.70 million similarity judgments in response to thousands of photographic images for up to 1854 objects.

Meiotic cells employ a specific pathway to limit the amount of gene conversion occuring at recombination sites.

Syntactic structure-building processes can be applied to speech that is task-irrelevant and should be ignored, demonstrating that Selective Attention does not fully eliminate linguistic processing of competing speech.

Both bottom-up and top-down processing are involved in the occipital-temporal face network, with the top-down modulation more extensively engaged when available information is sparse in the face images.

A Bayesian model of phase angles illustrates a novel approach to the analysis of phase coherence in frequency-tagged experiments.

Non-invasive MEG recordings reveal that patterns of spontaneous activity in the resting brain are shorter lived than previously thought.

During natural reading, before we fixate on a word, we can already extract its meaning and even integrate it into the evolving context.