Neural-Network-Assisted Polar Code Decoding Schemes [PDF]
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
Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space. [PDF]
Neural decoding can be conceptualized as the problem of mapping brain responses back to sensory stimuli via a feature space. We introduce (i) a novel experimental paradigm that uses well-controlled yet highly naturalistic stimuli with a priori known ...
Dado T +6 more
europepmc +2 more sources
Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces
Designing processors for implantable closed-loop neuromodulation systems presents a formidable challenge owing to the constrained operational environment, which requires low latency and high energy efficacy.
Paul Hueber +6 more
doaj +2 more sources
Decoding Methods in Neural Language Generation: A Survey
Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding ...
Sina Zarrieß +2 more
doaj +3 more sources
Multi-scale neural decoding and analysis. [PDF]
Objective. Complex spatiotemporal neural activity encodes rich information related to behavior and cognition. Conventional research has focused on neural activity acquired using one of many different measurement modalities, each of which provides useful ...
Lu HY +10 more
europepmc +2 more sources
Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding [PDF]
As a key pathway for understanding behavior, cognition, and emotion, neural decoding and encoding provide effective tools to bridge the gap between neural mechanisms and imaging recordings, especially at single-cell resolution. While neural decoding aims
Kangchen Li +10 more
doaj +2 more sources
Effects of Packet Loss on Neural Decoding Effectiveness in Wireless Transmission [PDF]
Background: In brain–computer interfaces, neural decoding plays a central role in translating neural signals into meaningful physical actions. These signals are transmitted to processors for decoding via wired or wireless channels; however, they are ...
Jiaqi Zheng +7 more
doaj +2 more sources
Decoding surface code with a distributed neural network–based decoder [PDF]
AbstractThere has been a rise in decoding quantum error correction codes with neural network–based decoders, due to the good decoding performance achieved and adaptability to any noise model. However, the main challenge is scalability to larger code distances due to an exponential increase of the error syndrome space.
Koen Bertels +2 more
exaly +3 more sources
NeuroDecodeR: a package for neural decoding in R. [PDF]
Neural decoding is a powerful method to analyze neural activity. However, the code needed to run a decoding analysis can be complex, which can present a barrier to using the method. In this paper we introduce a package that makes it easy to perform decoding analyses in the R programing language.
Meyers EM.
europepmc +4 more sources
Deep learning for neural decoding in motor cortex [PDF]
Objective. Neural decoding is an important tool in neural engineering and neural data analysis. Of various machine learning algorithms adopted for neural decoding, the recently introduced deep learning is promising to excel. Therefore, we sought to apply
F. Liu +7 more
semanticscholar +2 more sources

