We developed a data-driven, statistical approach for investigating the encoding and decoding of information in LIP spike trains during a sensorimotor decision-making task.

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 ...

This approach opens a new route for super-resolution microscopy based on the encoding and decoding of spatio-temporal information through manipulation of the fluorophore dynamics.

Results indicated that integrating encoding and decoding instruction in first-grade classrooms, as well as supplemental intervention programs, may be the missing link to decreasing and possibly ...