Since the school district implemented a new phonics program in Bradley Elementary School, 80% of the kids are now reading ...
Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...
The dominant theory in neuroscience has been that the sensory processing circuits in our brain are finalized in early childhood and fixed afterwards. A recently published study, however, overturned ...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...
Sensorimotor processing refers to a process by which sensory information or input is coupled or integrated to a related motor response in the central nervous system. This process underlies both ...
Abstract: As the brain-like intelligence develops rapidly, it is urgent to design a more convenient and efficient control framework to cope with the challenge of processing multisensory signals in ...
Abstract: This letter studies a reverse multi-encoding mechanism based on Markov model to resist eavesdropping attacks for remote state estimation in cyber-physical systems. The innovation is ...
Version of Record: This is the final version of the article. This study presents a novel application of inverted encoding (i.e., decoding) to detect non-linear correlates of crossmodal integration in ...
The model is evaluated on a real-world-scale distribution network (>16,000 nodes) of Galveston Island, TX, demonstrating significant reductions in cumulative outage cost and faster recovery compared ...
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