Results 21 to 30 of about 1,528,226 (285)
An application of formal concept analysis to neural decoding [PDF]
, 2012 This paper proposes a novel application of Formal Concept Analysis (FCA) to neural decoding: the semantic relationships between the neural representations of large sets of stimuli are explored using concept lattices.
Priss, U, Endres, D M, Foldiak, Peter
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Decoding neural responses to motion-in-depth using EEG [PDF]
, 2020 MH was supported by the European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement no. 641805. AW was supported by United Kingdom Biotechnology and Biological Science Research Council (BBSRC) grant ...
Himmelberg, Marc M +9 more
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PLoS ONE, 2022 Rapidly developing technology for large scale neural recordings has allowed researchers to measure the activity of hundreds to thousands of neurons at single cell resolution in vivo.
Charles R Heller, Stephen V David
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An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing
IEEE Access, 2020 Graph-based dependency parsing consists of two steps: first, an encoder produces a feature representation for each parsing substructure of the input sentence, which is then used to compute a score for the substructure; and second, a decoder finds the ...
Ge Wang, Ziyuan Hu, Zechuan Hu, Kewei Tu
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Neural Decoder for Topological Codes
Physical Review Letters, 2017 We present an algorithm for error correction in topological codes that exploits modern machine learning techniques. Our decoder is constructed from a stochastic neural network called a Boltzmann machine, of the type extensively used in deep learning.
Torlai, Giacomo, Melko, Roger G.
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Bit error performance of diffuse indoor optical wireless channel pulse position modulation system employing artificial neural networks for channel equalisation [PDF]
, 2009 The bit-error rate (BER) performance of a pulse position modulation (PPM) scheme for non-line-of-sight indoor optical links employing channel equalisation based on the artificial neural network (ANN) is reported.
Ghassemlooy, Zabih +2 more
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fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey
Brain Sciences, 2022 Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain–computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and recognize ...
Bing Du +3 more
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Deep Neural Network Based Reconciliation for CV-QKD
Photonics, 2022 High-speed reconciliation is indispensable for supporting the continuous-variable quantum key distribution (CV-QKD) system to generate the secure key in real-time. However, the error correction process’s high complexity and low processing speed limit the
Jun Xie +3 more
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Neural Decoding With Optimization of Node Activations
IEEE Communications Letters, 2022 IEEE Communications ...
Eliya Nachmani, Yair Be'ery
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Graph-Based Codes and Iterative Decoding [PDF]
, 2003 The field of error correcting codes was revolutionized by the introduction of turbo codes in 1993. These codes demonstrated dramatic performance improvements over any previously known codes, with significantly lower complexity.
Khandekar, Aamod Dinkar
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