Dynamic neural circuit disruptions associated with antisocial behaviors
Sign Up to like & getrecommendations! Published in 2020 at "Human Brain Mapping"
DOI: 10.1002/hbm.25225
Abstract: Antisocial behavior (ASB) is believed to have neural substrates; however, the association between ASB and functional brain networks remains unclear. The temporal variability of the functional connectivity (or dynamic FC) derived from resting‐state functional MRI… read more here.
Keywords: circuit disruptions; neural circuit; asb; associated antisocial ... See more keywords
A dynamic neural network model for accelerating preliminary parameterization of 3D triangular mesh surfaces
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3332-x
Abstract: This study proposes an effective and fast preliminary mapping algorithm for 3D triangular mesh surfaces. The proposed method exploits barycentric mapping theory and dynamic neural network for computing parametric coordinates corresponding to vertices of 3D… read more here.
Keywords: triangular mesh; neural network; network; mesh surfaces ... See more keywords
Dynamic neural orthogonal mapping for fault detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01250-z
Abstract: Dynamic principal component analysis (DPCA) and its nonlinear extension, dynamic kernel principal component analysis (DKPCA), are widely used in the monitoring of dynamic multivariate processes. In traditional DPCA and DKPCA, extended vectors through concatenating current… read more here.
Keywords: detection; neural orthogonal; process; dynamic neural ... See more keywords
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3134835
Abstract: AI healthcare applications rely on sensitive electronic healthcare records (EHRs) that are scarcely labelled and are often distributed across a network of the symbiont institutions. It is challenging to train the effective machine learning models… read more here.
Keywords: dynamic neural; neural graphs; graphs based; healthcare ... See more keywords
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2674624
Abstract: For solving the singularity problem arising in the control of manipulators, an efficient way is to maximize its manipulability. However, it is challenging to optimize manipulability effectively because it is a nonconvex function to the… read more here.
Keywords: manipulability; optimization; optimization redundant; manipulability optimization ... See more keywords
NerfCap: Human Performance Capture With Dynamic Neural Radiance Fields.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3202503
Abstract: This paper addresses the challenge of human performance capture from sparse multi-view or monocular videos. Given a template mesh of the performer, previous methods capture the human motion by non-rigidly registering the template mesh to… read more here.
Keywords: human performance; performance capture; geometry; dynamic neural ... See more keywords
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computation"
DOI: 10.1162/neco_a_01509
Abstract: Abstract Multimodal merging encompasses the ability to localize stimuli based on imprecise information sampled through individual senses such as sight and hearing. Merging decisions are standardly described using Bayesian models that fit behaviors over many… read more here.
Keywords: dynamic neural; ventriloquist effect; multimodal merging; model ... See more keywords
Identification of Damavand tokamak using fractional order dynamic neural network
Sign Up to like & getrecommendations! Published in 2019 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331218784108
Abstract: The Damavand tokamak is a small size research machine for fusion-related studies. This paper is motivated by the need to create an accurate nonlinear subspace model that may be used for controller design. The system… read more here.
Keywords: order dynamic; order; neural network; fractional order ... See more keywords
A dynamic neural network model for predicting risk of Zika in real time
Sign Up to like & getrecommendations! Published in 2019 at "BMC Medicine"
DOI: 10.1186/s12916-019-1389-3
Abstract: In 2015, the Zika virus spread from Brazil throughout the Americas, posing an unprecedented challenge to the public health community. During the epidemic, international public health officials lacked reliable predictions of the outbreak’s expected geographic… read more here.
Keywords: risk; neural network; time; model ... See more keywords
Dynamic Neural Fields with Intrinsic Plasticity
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2017.00074
Abstract: Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach. Within dynamic field theory, the DNFs have been used… read more here.
Keywords: intrinsic plasticity; input; fields intrinsic; neural fields ... See more keywords