Results 11 to 20 of about 46,112 (290)
Neural-Network-Assisted Polar Code Decoding Schemes
The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the decoding steps, but the decoding adopts a sub-optimal algorithm, so it cannot improve the bit error performance. In order to improve the bit error performance
Hengyan Liu +3 more
doaj +2 more sources
Shared Graph Neural Network for Channel Decoding
With the application of graph neural network (GNN) in the communication physical layer, GNN-based channel decoding algorithms have become a research hotspot.
Qingle Wu +5 more
doaj +2 more sources
Current Advances in Neural Decoding
Neural decoding refers to the extraction of semantically meaningful information from brain activity patterns. We discuss how advances in machine learning drive new advances in neural decoding. While linear methods allow for the reconstruction of basic stimuli from brain activity, more sophisticated nonlinear methods are required when reconstructing ...
Gerven, M.A.J. van +3 more
core +4 more sources
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Networks (SNNs), with their neuronal dynamics and spike-based signal processing,
Yu Song +5 more
doaj +3 more sources
Fault-tolerant quaternary belief propagation decoding based on a neural network
The article discusses the challenge of finding an efficient decoder for quantum error correction codes for fault-tolerant experiments in quantum computing.
Naihua Ji +5 more
doaj +1 more source
A generic neural network model to estimate populational neural activity for robust neural decoding [PDF]
Rinku Roy, Derek G Kamper, Xiaogang Hu
exaly +2 more sources
High-resolution neural recordings improve the accuracy of speech decoding
Patients suffering from debilitating neurodegenerative diseases often lose the ability to communicate, detrimentally affecting their quality of life.
Suseendrakumar Duraivel +12 more
doaj +1 more source
Neural decoding of music from the EEG. [PDF]
Neural decoding models can be used to decode neural representations of visual, acoustic, or semantic information. Recent studies have demonstrated neural decoders that are able to decode accoustic information from a variety of neural signal types ...
Daly I.
europepmc +2 more sources
Channel neural decoding is very promising as it outperforms the traditional channel decoding algorithms. Unfortunately, it still faces the disadvantage of high computational complexity and storage complexity compared with the traditional decoding ...
Qingle Wu +4 more
doaj +1 more source
Establishing the basic knowledge, methodology, and technology for a framework for the continuous decoding of hand/arm movement intention was the aim of the ERC-funded project “Feel Your Reach”. In this work, we review the studies and methods we performed
Gernot R. Müller-Putz +15 more
doaj +1 more source

