Results 21 to 30 of about 478,249 (265)
Frontiers in Communication, 2017 Accumulating evidence suggests that category representations are based on features. Distinguishing features are considered to define categories, because of all-or-none responses for objects in different categories; however, it is unclear how ...
Takahiro Soshi +3 more
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NeuroImage, 2022 The initial decrease in the blood oxygenation level-dependent (BOLD) signal reflects primary neuronal activity more than the later hemodynamic positive peak responses.
Toshiko Tanaka +3 more
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Scientific Reports, 2021 Improving deteriorated sensorimotor functions in older individuals is a social necessity in a super-aging society. Previous studies suggested that the declined interhemispheric sensorimotor inhibition observed in older adults is associated with their ...
Eiichi Naito +6 more
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Bootstrapping Neural Networks [PDF]
Neural Computation, 2000 Knowledge about the distribution of a statistical estimator is important for various purposes, such as the construction of confidence intervals for model parameters or the determination of critical values of tests. A widely used method to estimate this distribution is the so-called bootstrap, which is based on an imitation of the probabilistic ...
Franke, Jürgen, Neumann, Michael
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Applied Sciences, 2019 High-maneuvering target tracking is a focused application area in radar positioning and military defense systems, especially in three-dimensional space.
Qi Deng, Gang Chen, Huaxiang Lu
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Quantitative models reveal the organization of diverse cognitive functions in the brain
Nature Communications, 2020 The authors construct quantitative models of human brain activity evoked by 103 cognitive tasks and reveal the organization of diverse cognitive functions in the brain.
Tomoya Nakai, Shinji Nishimoto
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Frontiers in Psychology, 2023 Recent research has shown that the Default Mode Network (DMN) typically exhibits increased activation during processing of social and personal information but shows deactivation during working memory (WM) tasks.
Hideya Koshino +10 more
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Generating Neural Networks with Neural Networks
CoRR, 2018 Hypernetworks are neural networks that generate weights for another neural network. We formulate the hypernetwork training objective as a compromise between accuracy and diversity, where the diversity takes into account trivial symmetry transformations of the target network. We explain how this simple formulation generalizes variational inference.
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Correlational Neural Networks [PDF]
Neural Computation, 2016 Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical correlation analysis (CCA)–based approaches and autoencoder (AE)–based approaches.
Sarath Chandar +3 more
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Frontiers in Neuroergonomics, 2021 The mechanical parameters of keyboard switches affect the psychological sense of pressing. The effects of different mechanical parameters on psychological sense have been quantified using questionnaires, but these subjective evaluations are unable to ...
Hiroki Watanabe +10 more
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