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Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.
This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...
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Breaking the code in network theory: Bimodularity reveals direction of influence in complex ...
As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model ...
Finnegan’s Lynn Parker Dupree and Baker McKenzie’s Lothar Determann discuss a wave of new state laws regarding brainwaves tracked by wearable devices, or data derived from the activity of a person’s ...
Researchers at EPFL and the University of Geneva have developed a new algorithm that cracks an outstanding challenge in ...
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