Results 71 to 80 of about 2,367,946 (319)
Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder
2022 IEEE International Symposium on Information Theory (ISIT), 2022 The cyclically equivariant neural decoder was recently proposed in [Chen-Ye, International Conference on Machine Learning, 2021] to decode cyclic codes. In the same paper, a list decoding procedure was also introduced for two widely used classes of cyclic codes -- BCH codes and punctured Reed-Muller (RM) codes.
Xiangyu Chen, Min Ye 0005
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Trainable Greedy Decoding for Neural Machine Translation [PDF]
, 2017 Recent research in neural machine translation has largely focused on two aspects; neural network architectures and end-toend learning algorithms. The problem of decoding, however, has received relatively little attention from the research community.
Kyunghyun Cho +5 more
core +1 more source
Efficient position decoding methods based on fluorescence calcium imaging in the mouse hippocampus [PDF]
, 2020 Large-scale fluorescence calcium imaging methods have become widely adopted for studies of long-term hippocampal and cortical neuronal dynamics. Pyramidal neurons of the rodent hippocampus show spatial tuning in freely foraging or head-fixed navigation ...
Tu, Mengyu +4 more
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Pruning Neural Belief Propagation Decoders [PDF]
2020 IEEE International Symposium on Information Theory (ISIT), 2020 This work was presented at the IEEE International Symposium on Information Theory (ISIT ...
Andreas Buchberger +4 more
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Dimensionality reduction for neural population decoding [PDF]
, 2021 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.
Heller, C. ; https://orcid.org/ +1 more
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Interpreting the neural code with formal concept analysis [PDF]
, 2012 This contribution is in volume 1 of 3 for this title.We propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explore the semantic ...
Endres, D, Foldiak, Peter
core
Graph Neural Network Pooling for BCH Channel Decoding in Software Defined Satellites [PDF]
editorial reviewedThis paper delves into the transformative impact of Deep Learning (DL) techniques on decoding tasks at the physical layer onboard regenerative software-defined satellites, reshaping traditional error correction methodologies ...
VARADARAJULU, Swetha +4 more
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Optimal Population Coding, Revisited [PDF]
, 2011 Cortical circuits perform the computations underlying rapid perceptual decisions within a few dozen milliseconds with each neuron emitting only a few spikes.
Berens, P. +14 more
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Tensor-powered insights into neural dynamics
Communications BiologyThe complex spatiotemporal dynamics of neurons encompass a wealth of information relevant to perception and decision-making, making the decoding of neural activity a central focus in neuroscience research.
Boyang Zang +5 more
doaj +1 more source