Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...
Multimodal Large Language Models (MLLMs) frequently exhibit hallucination phenomena, but the underlying reasons remain poorly understood. In this paper, we present an empirical analysis and find that, ...
Abstract: This brief presents a novel class of hard-decision algorithms for decoding low density parity check codes. The new algorithms, named fine-grained bit-flipping (FBF) algorithms, employ a ...
The original Apple iPad was released over 16 years ago on April 3, 2010. Since then, Apple has continuously improved the tablet, upgrading its storage capacity, screen resolution, processor, ...
Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...
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