Results 1 to 10 of about 1,336,360 (230)

Mean-field based framework for forward modeling of LFP and MEG signals [PDF]

open access: yesFrontiers in Computational Neuroscience, 2022
The use of mean-field models to describe the activity of large neuronal populations has become a very powerful tool for large-scale or whole brain simulations.
Federico Tesler   +4 more
doaj   +2 more sources

VALIDATING FORWARD MODELING AND INVERSIONS OF HELIOSEISMIC HOLOGRAPHY MEASUREMENTS. [PDF]

open access: yesAstrophys J, 2018
Here we use synthetic data to explore the performance of forward models and inverse methods for helioseismic holography. Specifically, this work presents the first comprehensive test of inverse modeling for flows using lateral-vantage (deep-focus ...
DeGrave K   +4 more
europepmc   +2 more sources

The Optical Inverse Problem in Quantitative Photoacoustic Tomography: A Review

open access: yesPhotonics, 2023
Photoacoustic tomography is a fast-growing biomedical imaging modality that combines rich optical contrast with a high acoustic resolution, at depths in tissues.
Zeqi Wang, Wei Tao, Hui Zhao
doaj   +1 more source

Saturation sensitivity and influencing factors of marine DC resistivity inversion to submarine gas hydrate

open access: yesFrontiers in Earth Science, 2022
The submarine gas hydrate usually exists in the sediment on the continental slope. The bottom simulating reflector on the reflected seismic was identified as the bottom of the hydrate stability zone.
Ning Qiu   +12 more
doaj   +1 more source

Meso-Neoproterozoic tectono-thermal evolution in the northern margin of North China Craton: Constraints from zircon (U-Th)/He ages

open access: yesDizhi lixue xuebao, 2022
Due to the complicated tectonic and sedimentary history and the lack of effective paleo-thermal indicators, the Meso-Neoproterozoic thermal history of the Yanliao rift zone in the northern margin of the North China Craton is ambiguous, which causes the ...
LI Chenxing   +4 more
doaj   +1 more source

The Accuracy Assessment of Lithospheric Density Models

open access: yesApplied Sciences, 2023
The Earth’s synthetic gravitational and density models can be used to validate numerical procedures applied for global (or large-scale regional) gravimetric forward and inverse modeling.
Robert Tenzer, Wenjin Chen
doaj   +1 more source

Integrated Geophysical Imaging and Remote Sensing for Enhancing Geological Interpretation of Landslides with Uncertainty Estimation—A Case Study from Cisiec, Poland

open access: yesRemote Sensing, 2022
Landslides, as one of the main problems in mountainous areas, are a challenging issue for modern geophysics. The triggers that cause these phenomena are diverse (including geological, geomorphological, and hydrological conditions, climatic factors, and ...
Małgorzata Wróbel   +6 more
doaj   +1 more source

Modeling and Inversion of Airborne and Semi-Airborne Transient Electromagnetic Data with Inexact Transmitter and Receiver Geometries

open access: yesRemote Sensing, 2022
Airborne and semi-airborne transient electromagnetic (TEM) surveys have high efficiency but may suffer from systematic errors due to the inexact shape, position, and orientation of the transmitter and receiver, which can deviate from the nominal design ...
Tao Chen, Dikun Yang
doaj   +1 more source

Neuroelectromagnetic Forward Modeling Toolbox [PDF]

open access: yes2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically.
Zeynep, Akalin Acar, Scott, Makeig
openaire   +2 more sources

Affine forward variance models [PDF]

open access: yesFinance and Stochastics, 2018
We introduce the class of affine forward variance (AFV) models of which both the conventional Heston model and the rough Heston model are special cases. We show that AFV models can be characterized by the affine form of their cumulant generating function, which can be obtained as solution of a convolution Riccati equation.
Gatheral, Jim, Keller-Ressel, Martin
openaire   +3 more sources

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