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Mean-field based framework for forward modeling of LFP and MEG signals [PDF]
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
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VALIDATING FORWARD MODELING AND INVERSIONS OF HELIOSEISMIC HOLOGRAPHY MEASUREMENTS. [PDF]
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
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
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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
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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
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The Accuracy Assessment of Lithospheric Density Models
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
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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
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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]
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]
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

