Results 41 to 50 of about 480,167 (281)
Discovering Higher-Order Interactions Through Neural Information Decomposition
Entropy, 2021 If regularity in data takes the form of higher-order functions among groups of variables, models which are biased towards lower-order functions may easily mistake the data for noise.
Kyle Reing +2 more
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ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020 In this paper we introduce Neural Network Coding(NNC), a data-driven approach to joint source and network coding. In NNC, the encoders at each source and intermediate node, as well as the decoder at each destination node, are neural networks which are all trained jointly for the task of communicating correlated sources through a network of noisy point ...
Liu, Litian +3 more
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Neural Processing of Naturalistic Echolocation Signals in Bats
Frontiers in Neural Circuits, 2022 Echolocation behavior, a navigation strategy based on acoustic signals, allows scientists to explore neural processing of behaviorally relevant stimuli.
M. Jerome Beetz, Julio C. Hechavarría
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A silicon model of auditory localization [PDF]
, 1989 The barn owl accurately localizes sounds in the azimuthal plane, using interaural time difference as a cue. The time-coding pathway in the owl's brainstem encodes a neural map of azimuth, by processing interaural timing information.
Lazzaro, John, Mead, Carver A.
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Frontiers in Psychology, 2022 Non-human animals tend to solve behavioral tasks using local information. Pigeons are particularly biased toward using the local features of stimuli to guide behavior in small-scale environments.
William Clark, Michael Colombo
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Neural network-based arithmetic coding of intra prediction modes in HEVC
, 2017 In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well as handcrafted context models, which may restrict the compression ...
Li, Houqiang +3 more
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Lessons From Deep Neural Networks for Studying the Coding Principles of Biological Neural Networks
Frontiers in Systems Neuroscience, 2021 One of the central goals in systems neuroscience is to understand how information is encoded in the brain, and the standard approach is to identify the relation between a stimulus and a neural response.
Hyojin Bae +2 more
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Componential coding in the condition monitoring of electrical machines Part 2: application to a conventional machine and a novel machine [PDF]
, 2003 This paper (Part 2) presents the practical application of componential coding, the principles of which were described in the accompanying Part 1 paper.
A D Ball +13 more
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NeuroImage, 1997 This paper presents the conjecture that functional integration may be mediated by the mutual induction and maintenance of stereotyped spatiotemporal patterns of activity (i.e., transients) in different neuronal populations. In contradistinction to temporal and rate coding models of neuronal interactions, transient coding considers that transactions ...
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Special Issue: Neural Coding 2018
Mathematical Biosciences and Engineering, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kostal L., Sacerdote L., Tamborrino M.
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