Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.
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DOI: 10.1109/tnnls.2021.3069436
Abstract: Energy consumption is an important issue for resource-constrained wireless neural recording applications with limited data bandwidth. Compressed sensing (CS) is a promising framework for addressing this challenge because it can compress data in an energy-efficient… read more here.
Keywords: neural action; deep generative; training free; action potentials ... See more keywords