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The Real-Time Experimental Control with Graphical User Interface (REC-GUI) framework can facilitate cutting-edge neuroscience research by providing precise experimental control using high-level programming environments familiar to many experimentalists.

Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.

The multimodal linked independent component analysis promotes a more integrative understanding of transdiagnostic mechanisms of psychopathology.

Inhibition provides a means for achieving temporal precision for rapid modulation of an acoustic signal in a vertebrate vocal network.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

Human-like color categories emerge in a Deep Neural Network trained only on object recognition.

The functional network of β-cells in the pancreatic islet, which has been used to identify important subpopulations of β-cells implicated in diabetes progression, is indicative of intrinsic dynamics rather than structural communication, implying islet robustness.

A multidisciplinary approach sheds light on the fundamental mechanisms underlying social belief communication under uncertainty.

A fundamental lower-bound on memory recall precision, which declines with storage duration and number of stored items, is derived, and human performance is shown to be well-fit by this theoretical bound.

Localized lignin impregnations, forming a pan-endodermal net-like diffusion barrier strongly relies on stabilizing signals from neighbors.