This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...
This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...
We’ve talked before about number stations — mysterious shortwave transmitters repeating numbers, presumably for clandestine ...
Abstract: The increasing penetration of renewable energy sources and the widespread use of power electronic devices have introduced complex power quality disturbances (PQDs), which are essentially ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
When humans perform working memory tasks, their eye movements disclose a wealth of information about what they are holding in mind. Here, we report a similar behavior in monkeys—small, uninstructed ...
Abstract: Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data ...
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